Alternatives to BAND
Compare BAND alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to BAND in 2026. Compare features, ratings, user reviews, pricing, and more from BAND competitors and alternatives in order to make an informed decision for your business.
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1
Anaconda
Anaconda
Anaconda is an AI-native development platform that helps teams move from experimentation to production with trusted open-source packages, governed environments, and production-grade orchestration. The platform provides a secure foundation for Python, data science, machine learning, and AI development across the full model lifecycle. Anaconda Core helps teams manage complex Python dependencies with validated packages, automated security scanning, and intelligent conflict resolution. The Anaconda Platform supports governed AI development so organizations can reduce broken environments, stalled deployments, and unmanaged open-source risk. Its trusted distribution is used by millions of users, developers, contributors, organizations, and Fortune 500 companies. Built for enterprise AI teams, Anaconda helps organizations accelerate open-source AI innovation while maintaining control, security, and governance. -
2
MuleSoft Anypoint Platform
Salesforce
MuleSoft is an agentic control plane designed to help enterprises govern, orchestrate, and secure AI agents, APIs, applications, models, and data across complex digital environments. The platform supports multi-agent governance, API management, integration, automation, and gateway federation from one unified control plane. With solutions such as MuleSoft Agent Fabric, MuleSoft Omni Gateway, Agent Registry, Agent Scanners, and Agent Broker, organizations can discover agents, manage interactions, reduce shadow AI, and coordinate workflows across ecosystems. MuleSoft also helps teams turn existing APIs and applications into governed tools that AI agents can safely discover and use. Its platform supports developers and business users with natural language development, prebuilt connectors, monitoring, API governance, and integration tools. MuleSoft is built to help enterprises scale AI adoption with stronger compliance, observability, security, and operational confidence. -
3
Onyx Security
Onyx Security
Onyx is a secure AI control plane for discovering, protecting, governing, optimizing, and measuring AI agents and models across the enterprise. It gives security, governance, and AI teams visibility into sanctioned and shadow AI across SaaS, cloud, endpoints, and code, including prompts, responses, and agent actions. AI Security helps strengthen posture, identify vulnerabilities, and enforce real-time safeguards against threats and misuse, while AI Governance supports security standards and regulatory requirements with opt-in coverage and policy controls defined in natural language. AI Orchestration reduces friction when setting up agents and MCPs and helps optimize for cost, accuracy, and latency. AI ROI measures adoption, sets goals, and tracks outcomes across departments. The Onyx Guardian Agent acts as a supervisory AI that continuously identifies risks and remediates issues across the platform, helping organizations manage large numbers of agents at scale. -
4
Oz
Warp
Oz is a cloud-based orchestration platform for AI coding agents that lets developers and teams run, manage, automate, and scale unlimited parallel cloud coding agents without building custom infrastructure, providing programmable, auditable, and fully steerable workflows that automate repetitive development tasks and complex code changes. It enables you to launch agents from the CLI, web app, APIs, SDKs, Warp Terminal, or even mobile, orchestrate hundreds of agents in parallel with built-in audit trails, session tracking, and visibility, and monitor or interact with running agents in a shared control plane. Oz supports flexible hosting on your infrastructure or Warp’s, isolates each agent in secure environments, produces real artifacts like plans and pull requests, and handles multi-repo changes so agents can coordinate sweeping updates across large codebases.Starting Price: $18 per month -
5
Barndoor.ai
Barndoor.ai
Barndoor is a data and access management layer designed to secure how artificial intelligence systems interact with enterprise data and infrastructure. It acts as a centralized control plane that governs AI agents and applications, allowing organizations to define policies, enforce access rules automatically, and maintain full visibility over how AI tools operate across business systems. Instead of relying only on traditional identity-based permissions, Barndoor introduces context-aware governance, enabling administrators to control what actions an AI agent can perform based on factors such as the user operating the agent, the system being accessed, the type of data involved, and the specific task being attempted. It evaluates every AI request in real time and enforces policies before an action is executed, preventing unsafe or unauthorized operations from reaching internal systems or modifying sensitive information.Starting Price: $500 per month -
6
OpenServ
OpenServ
OpenServ is an applied AI research lab building the infrastructure for autonomous agents. Our next-generation multi-agent orchestration platform combines proprietary AI frameworks and protocols with supreme user simplicity. Automate complex tasks across Web3, DeFAI, and Web2. We’re accelerating the agentic field through numerous academic partnerships, in-house research, and community-focused research initiatives. See the whitepaper detailing the architecture of OpenServ. Seamless developer experience and agent development with our SDK. Receive early access to our platform, white-glove support, and an opportunity to shape the future. -
7
JetStream Security
JetStream
JetStream Security is a security-first AI governance platform designed to give enterprises full visibility, control, and accountability over their AI systems by turning them from opaque, fragmented tools into managed, traceable infrastructure. It acts as a centralized control plane that connects identity, runtime governance, observability, and financial oversight into a single system, allowing organizations to “see every AI action, tie actions to accountable owners, [and] keep workflows inside approved boundaries” while enforcing policy at runtime. It introduces agentic identity, binding human, agentic, and non-human identities to specific actions and access permissions, ensuring every invocation, tool call, or workflow can be traced and governed through least-privilege access principles. Through continuous runtime governance, JetStream compares live AI behavior against approved blueprints, using immutable logging and real-time observability to detect drift. -
8
Preloop
Preloop
Preloop is the open source AI agent control plane for agents that take real actions. It combines an MCP firewall for tool access, an AI model gateway for cost, safety, and attribution, policy-as-code with human approvals, runtime session observability, and audit trails in a single self-hostable platform. AI agents can deploy code, change infrastructure, move money, touch production data, and burn model spend in seconds, so Preloop helps teams control what agents can do, how much they spend, and which actions require human approval. It works with OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any MCP-compatible agent or managed runtime. Access rules can inspect arguments and context, not just tool names, with CEL expressions for fine-grained conditions. Teams can start with observability, then layer in approvals and deny rules without SDKs or invasive app changes.Starting Price: $290 per month -
9
Notenic
Notenic
Notenic is a runtime orchestration and governance platform designed to control and secure autonomous AI agents (“digital labor”) in real time, particularly in environments where failure carries regulatory, legal, or operational consequences. It operates as an infrastructure layer that sits directly in the execution path of AI systems, enforcing deterministic governance before any action reaches systems of record, rather than relying on post-output filters or prompt-level controls. It introduces a zero-trust runtime architecture built on core principles such as zero-persistence (no data retained after each session), execution-path control (policy enforcement at the moment of action), and independence from model context, ensuring that adversarial inputs cannot override governed behavior. Notenic provides a unified control plane that includes agent workforce management (treating AI agents as operational units with defined roles and supervision). -
10
Flowise
Flowise AI
Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.Starting Price: Free -
11
OpenText Aviator Studio
OpenText
OpenText Aviator Studio is a no-code and pro-code platform for building, governing, connecting, deploying, and iterating enterprise AI agents. Designed for scale, security, and intelligent automation, it acts as an AI control plane for creating trusted agents across OpenText products and enterprise environments. Teams can rapidly design, test, and refine agents, develop multi-step workflows, chain reasoning, and deploy to different environments. Multi-agent choreography allows organizations to coordinate agents and systems across complex workflows, while a prompt library, reusable micro-capabilities, and standardized interfaces support consistent development and reuse. Aviator Studio includes enterprise-grade governance, permissions, policy enforcement, identity management, audit logging, data isolation, and guardrail settings to help prevent prompt injection and protect sensitive information. -
12
Domino Enterprise AI Platform
Domino Data Lab
Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency. -
13
WrangleAI
WrangleAI
WrangleAI is an enterprise-grade platform that gives organizations visibility, control, and governance over their AI usage and spending. It acts as a “control plane” for generative-AI tools (like GPT-4, Claude, Gemini, and more), providing real-time usage tracking across providers, cost intelligence, infrastructure monitoring, and spend caps so companies can avoid runaway budgets. WrangleAI offers AI observability, helping teams understand which models are being used, by whom, and for what purposes, plus routing intelligence that can redirect workloads to more cost-effective models while maintaining output quality. It also includes governance features such as role-based access control and compliance support (e.g., for SOC 2 / ISO 27001 standards), enabling finance, engineering, and leadership teams to coordinate, enforce policies, and get actionable recommendations for optimizing AI spending and usage.Starting Price: $25.15 per month -
14
Maetra
Maetra
Maetra is an AI governance and compliance control plane for teams operating tool-using AI agents. Discover inventories agents and capabilities; Comply maps systems to applicable frameworks and keeps reusable evidence current; Govern evaluates consequential actions against versioned policies and routes human approval when required. Secure scans prompts, messages, model outputs, and tool calls for prompt injection, data exposure, unsafe actions, and policy violations. Task Guard detects task drift, scope changes, and mismatched effects. Interaction Guard protects supported browser-AI prompts and files, while Audit preserves linked decision, approval, runtime, and change evidence. Teams can adopt modules separately or together through the web app, REST APIs, SDKs, and MCP. A 14-day no-card trial is available, with paid plans from $20/month.Starting Price: $20/month -
15
Lunar.dev
Lunar.dev
Lunar.dev is an AI gateway and API consumption management platform that gives engineering teams a single, unified control plane to monitor, govern, secure, and optimize all outbound API and AI agent traffic, including calls to large language models, Model Context Protocol tools, and third-party services, across distributed applications and workflows. It provides real-time visibility into usage, latency, errors, and costs so teams can observe every model, API, and agent interaction live, and apply policy enforcement such as role-based access control, rate limiting, quotas, and cost guards to maintain security and compliance while preventing overuse or unexpected bills. Lunar.dev's AI Gateway centralizes control of outbound API traffic with identity-aware routing, traffic inspection, data redaction, and governance, while its MCPX gateway consolidates multiple MCP servers under one secure endpoint with full observability and permission management for AI tools.Starting Price: Free -
16
Singulr
Singulr
Singulr is an enterprise AI governance and security platform that provides a unified control plane to help organizations discover, secure, and optimize AI adoption at scale. It addresses the growing gap between rapid AI usage and limited governance by delivering complete visibility into all AI systems in use, including homegrown applications, embedded AI, public tools, and shadow AI that often remains invisible to security teams. It continuously discovers and inventories AI assets across the organization, creating a real-time map of agents, models, and services, while assessing their risk through contextual analysis of data handling, model lineage, vulnerabilities, and compliance implications. Through its Singulr Pulse intelligence layer, it evaluates millions of AI systems, assigns risk scores, and supports automated onboarding workflows that reduce approval cycles from weeks to hours without compromising security. -
17
HiClaw
AgentScope
HiClaw is an open source multi-agent OS powered by Matrix. It lets multiple AI agents collaborate in Matrix rooms, fully visible to humans, with real-time intervention capability. A Manager Agent coordinates multiple Worker Agents to complete complex tasks, intelligently decomposing work and enabling parallel execution for stronger complex task handling. Built for enterprise-grade security and multi-agent collaboration, HiClaw uses the open Matrix IM protocol so all agent communications remain transparent, auditable, and suitable for distributed deployment and federation. Humans can enter any Matrix room at any time to observe agent conversations, intervene, or correct agent behavior in real time, ensuring safety and control. It's clear that a two-tier Manager-Worker architecture gives each agent distinct responsibilities and makes it easier to extend the system with custom Worker Agents for different scenarios.Starting Price: Free -
18
Klique
Klique
Klique is an enterprise AI control plane that helps organizations manage AI models, applications, agents, and computing resources through a unified platform. The software combines intelligent model routing, AI service governance, and GPU orchestration to optimize performance, infrastructure utilization, and operational costs. Its smart routing engine directs AI requests to appropriate models based on cost, latency, data sensitivity, and organizational policies. Centralized governance capabilities include token budgets, usage quotas, role-based permissions, single sign-on, and audit logging across AI services. Klique also supports GPU resource pooling, fractional GPU sharing, workload scheduling, and automated allocation of computing resources across cloud and on-premises infrastructure. The platform integrates with Kubernetes, cloud providers, AI model APIs, and developer tools while supporting self-hosted, hybrid, and air-gapped deployments. -
19
Cosmos
Augment Code
Cosmos by Augment Code is an AI agent orchestration platform designed to automate and coordinate software development workflows across engineering organizations. The platform enables teams to deploy specialized AI agents that handle tasks such as code generation, pull request reviews, vulnerability remediation, and incident investigation. Cosmos uses a Context Engine to provide agents with an understanding of codebases, dependencies, and existing development patterns. Its event-driven automation capabilities trigger workflows through repository activity, scheduled tasks, webhooks, and integrations with development tools. The platform supports shared organizational knowledge, isolated execution environments, and human approval checkpoints for managing automated operations. Cosmos integrates with GitHub, GitLab, Jira, Linear, Slack, and other engineering systems to connect AI agents with existing software delivery processes.Starting Price: $20 per month -
20
Bevel
Bevel
Bevel is a vendor-agnostic, Git-backed control plane for enterprise AI agents, where an organization’s agents, context, skills, tools, permissions, and identities are defined as files the company owns in its own infrastructure and served to any agent runtime over MCP. Context is stored as typed knowledge nodes with provenance for every fact, including where it came from, who last changed it, and when it was verified, then compiled into a graph that can be traversed, updated, and used for dashboards. Skills are written as plain Markdown procedures that process owners can read, review in diffs, and port across runtimes. Tool manifests define available capabilities, while secrets stay in a vault and access rules determine which agents may read specific files or call endpoints. Each agent has its own identity, credentials, and scope so actions remain attributable. -
21
Trase
Trase
Trase is a governed AI platform for healthcare, government, and enterprise environments where trust, security, sovereignty, and predictability are non-negotiable. It provides a powerful foundation for deploying AI agents across real workflows, with hundreds of specialized agents ready to run in production and the infrastructure needed to keep every workflow, decision, and escalation under control. Trase Origin is the operating system agents run on, built to orchestrate, secure, and govern agents across cloud, on-premises, VPC, and edge environments while keeping data where it lives. Trase and third-party agents operate under one control plane with shared policy enforcement, monitoring, cost controls, escalation paths, and a full, immutable audit trail. It supports HIPAA- and SOC2-compliant deployment, data residency, privacy, model flexibility, and no vendor lock-in. -
22
FirstHelm
FirstHelm
FirstHelm is a control plane for AI agents. It sits between your agent fleet — n8n, OpenAI, Anthropic, CrewAI, LangChain, Microsoft Copilot Studio, or any custom agent via REST API — and the rest of the world, deciding what each agent is allowed to do, not just showing what it did. Every action is logged and checked in flight against your rules: budget caps, blocked actions, and per-mission cost and token visibility. Expensive, risky or irreversible actions are held for human approval, and unanswered approvals expire safely — silence is not consent. Live dashboards let you steer agents mid-mission, and FirstHelm generates audit trails and compliance exports mapped to the EU AI Act, ISO 42001, SOC 2, UK GDPR, NIST AI RMF and FCA expectations — 38 controls, scored live from your own data. Freemium, framework-agnostic, UK-built.Starting Price: £23/user/month -
23
Microsoft Agent 365
Microsoft
Microsoft Agent 365 introduces a unified control plane that allows organizations to deploy, manage, and secure AI agents with the same confidence they apply to user management. It gives enterprises full visibility into all agents, including Entra-verified agents, self-registered agents, and shadow agents running across the environment. Built on Microsoft’s trusted ecosystem, Agent 365 extends familiar tools like Entra, Defender, Purview, Power Apps, and Microsoft 365 to support identity, security, governance, and productivity for agents. With Work IQ, organizations can connect agents directly to their unique company data and workflows, enabling smarter, more context-aware automation. IT admins can access Agent 365 early via Frontier, Microsoft’s early access program, and activate it at the tenant or user level. Designed to scale with modern AI adoption, Agent 365 ensures that enterprise agentic systems remain secure, compliant, and manageable from day one. -
24
Multica
Multica
Multica is an open source project management platform for human and agent teams, built to turn coding agents into real teammates rather than separate tools. It gives humans and AI agents the same workspace, where agents can be assigned issues, report progress, reply in comments, raise blockers, ship code, and appear in the member list with profiles, avatars, and open-issue queues. Users can assign work to an agent the same way they would hand a task to a teammate, or open a chat window to ask it to draft an issue, answer a question, or handle a one-off request. Multica’s shared context layer keeps issue comments, attachments, reports, task history, and workspace knowledge accessible to both people and agents, while skills act as workspace-wide playbooks that let every agent reuse the same definitions and operating instructions.Starting Price: Free -
25
Agent Development Kit (ADK)
Google
The Agent Development Kit (ADK) is a flexible, open-source framework for building and deploying AI agents. It is tightly integrated with Google’s ecosystem, including Gemini models, and supports popular large language models (LLMs). ADK simplifies the development of both simple and complex AI agents, providing a structured environment for building dynamic workflows and multi-agent systems. With built-in tools for orchestration, deployment, and evaluation, ADK helps developers create scalable, modular AI solutions that can be easily deployed on platforms like Gemini Enterprise Agent Platform or Cloud Run.Starting Price: Free -
26
IndyKite
IndyKite
IndyKite is a context graph purpose-built to deliver real-time trust, control, and explainability for applications and AI. It transforms signals into live enforcement context, evaluated at the moment of use to determine who or what can access which data, under what conditions, and why. It unifies identity, metadata, provenance, and policies into a single operational context engine that applications and AI systems can rely on, instead of keeping context scattered across IAM systems, catalogs, MDM, security tools, code, and documents. IndyKite models identity, data, and policy together so controls can apply to humans, machines, and AI equally. Its Identity Knowledge Graph accurately reflects users, applications, machines, data types, and the relationships between them, creating a real-world data model of both person and non-person entities. This provides the foundation for intelligent, predictive access control, with contextual insights. -
27
Teradata Enterprise AgentStack
Teradata
Teradata Enterprise AgentStack is an integrated platform for building, deploying, and governing enterprise-grade autonomous AI agents that connect to trusted data and analytics, helping organizations move from experimentation to production-ready agentic AI with enterprise-level control. It unifies capabilities to support the full agent lifecycle; AgentBuilder accelerates the creation of intelligent agents using no-code and pro-code tools that integrate with Teradata Vantage and open-source frameworks; the Enterprise MCP delivers secure, context-rich access to governed enterprise data and curated prompts for agent intelligence; AgentEngine provides scalable execution of agents with consistent memory and reliability across hybrid environments; and AgentOps centralizes monitoring, governance, compliance, auditability, and policy enforcement so agents operate within defined guardrails. -
28
Willow
Willow
Willow is a leading enterprise platform for governing AI agents, tools, MCP servers, skills, and plugins. It connects agents such as Claude, ChatGPT, Cursor, Codex, Gemini, n8n, and custom agents to internal systems and SaaS tools, including Jira, GitHub, Slack, and databases, through an MCP gateway. Agents receive human-linked identities, scoped permissions, and audit trails. Security teams define policies, while employees self-serve approved connectors, skills, and plugins. Features include shadow AI discovery; PII redaction and prompt-injection inspection; app- and action-level permissions; SSO, SCIM, and RBAC with Okta, Entra ID, and JumpCloud; SIEM export; token and cost monitoring; and background agents. Willow is available as SaaS, dedicated cloud, or on-premises in a customer VPC. It holds SOC 2 Type II attestation, is GDPR-ready.Starting Price: $0 -
29
Agent2Agent (A2A)
Google
Agent2Agent (A2A) is a protocol developed by Google to enable seamless communication between AI agents. It facilitates the transfer of knowledge and tasks between different AI systems, allowing them to collaborate and execute complex workflows. A2A aims to enhance interoperability between AI agents, enabling more sophisticated, multi-agent systems that can perform tasks autonomously across various platforms and services.Starting Price: Free -
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Peta
Peta
Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.Starting Price: Free -
31
Agent Control
Agent Control
Agent Control is the open source control plane for AI agents, built to establish a new standard for governing agent behavior at scale. It solves the problem of scattered, hardcoded checks by giving teams a centralized governance layer with step-level enforcement that can be managed from a single control plane and updated in real time without touching agent code. Developers can make any function governable by adding the control() decorator, turning meaningful decision points inside an agent into independently governed control points with their own policies. When a decorated function executes, Agent Control evaluates the input or output against the active policy and returns a decision: deny, steer, warn, log, or allow. If the decision is denied, the SDK raises a ControlViolationError before the unsafe action can proceed. Policies are decoupled from code, so developers decide where to place control hooks while policy teams decide what those hooks enforce.Starting Price: Free -
32
CrewAI
CrewAI
CrewAI is a leading multi-agent platform that enables organizations to streamline workflows across various industries by building and deploying automated processes using any Large Language Model (LLM) and cloud platform. It offers a comprehensive suite of tools, including a framework and UI Studio, to facilitate the rapid development of multi-agent automations, catering to both coding professionals and those seeking no-code solutions. The platform supports flexible deployment options, allowing users to move their created 'crews'—teams of AI agents—to production with confidence, utilizing powerful tools for different deployment types and autogenerated user interfaces. CrewAI also provides robust monitoring capabilities, enabling users to track the performance and progress of their AI agents on both simple and complex tasks. Additionally, it offers testing and training tools to continually enhance the efficiency and quality of outcomes produced by these AI agents. -
33
SurePath AI
SurePath AI
Ensure AI use adheres to corporate policy with our simple-to-implement AI governance control plane. Remove complexity, gain visibility, and securely increase AI adoption, with SurePath AI. Native integrations to your existing security solutions, private models, and enterprise data sources. SSO, SCIM, and SIEM are natively supported. Detect AI use at a network level. Control access and inspect requests for sensitive data leaks. Redact sensitive data found in requests to public models. In-line modification of requests enables productivity while mitigating risk. Redirect traffic to your private AI models. Leverage SurePath AI's private model access controls as your own internally branded enterprise AI portal. Policy-based controls enrich requests with only the enterprise data users are granted access to, giving meaningful responses based on relevant business context. Users' prompts are automatically enhanced to align output to enterprise objectives. -
34
Phinite
Phinite AI
Phinite provides shared infrastructure for building, deploying, and governing AI agents across orchestration, security, observability, lifecycle management, and environment promotion — so engineering teams don't rebuild these layers for every new agent use case. Core capabilities: Orchestration for multi-agent systems (agent-to-agent, nested calls) Deep session-level observability: execution timelines, decision variables, tool calls, latency/cost tracking Private Agent Registry for skill discoverability Eval suite for accuracy/safety benchmarking Dev-to-Production workflow with environment promotion Kubernetes-native deployment, VPC-internal deployability SOC 2 Type 2 complianceStarting Price: $20/month -
35
AG2
AG2
AG2 is the open source AgentOS for building production-ready AI agents and multi-agent systems in minutes, not months. Formerly AutoGen, it provides an open source Python framework for building, orchestrating, and scaling AI agents that can collaborate through shared context, use tools, execute workflows, and support both autonomous and human-in-the-loop patterns. AG2 is designed for developers who want to build systems, not prompts, with simple and intuitive syntax, built-in conversation patterns, and a flexible platform for multi-agent automation. Agents in AG2 can extend their capabilities with tools, allowing them to interact with external systems, fetch real-time data, execute code, search the web, process documents, and complete complex tasks beyond a model’s internal knowledge. It supports many LLM providers and local models, including OpenAI-compatible endpoints, Anthropic Claude, Gemini through Vertex AI, DeepSeek, and LM Studio.Starting Price: Free -
36
Emergence Orchestrator
Emergence
Emergence Orchestrator is an autonomous meta-agent designed to coordinate and manage interactions between AI agents across enterprise systems. It enables multiple autonomous agents to work together seamlessly, handling sophisticated workflows that span modern and legacy software platforms. The Orchestrator empowers enterprises to manage and coordinate multiple autonomous agents at runtime across various domains, facilitating use cases such as supply chain management, quality assurance testing, research analysis, and travel planning. It handles tasks like workflow planning, compliance, data security, and system integrations, freeing teams to focus on strategic priorities. Key features include dynamic workflow planning, optimal task delegation, agent-to-agent communication, an agent registry cataloging various agents, a skills library for task-specific capabilities, and customizable compliance policies. -
37
Axiamatic
Axiamatic
Axiamatic is an AI-native control plane for enterprise transformation, designed to help transformation teams see, decide, and act at every step of complex programs. It continuously maps live program work into a shared context, building an always-on digital twin that preserves every decision, rationale, dependency, artifact, and signal as work evolves. It ingests and analyzes structured and unstructured data across enterprise systems, documents, tickets, workshops, conversations, and meetings, creating a Living Context Graph that keeps full program context available instead of reducing reality to static status summaries. Specialized transformation agents detect structural breakdowns as they form, including translation loss, cross-stream drift, scope drift, missed requirements, dependency conflicts, stakeholder misalignment, and emerging change resistance. -
38
T3 Code
Ping.gg
T3 Code is a minimal web GUI for coding agents like Codex, built to give agents a better place to work than a terminal. It is free, open source, fast, and designed so you can install it, plug in the harness you already pay for, and let your agents get to work. It provides a clean, modern interface for interacting with AI coding assistants through both web and desktop applications, with session management, persistent state, thread management, and real-time collaboration. Developers can interact with coding agents through an intuitive chat-based interface, manage coding sessions across projects, track changes with built-in git integration and checkpointing, and control access through Full Access and Supervised runtime modes. T3 Code is built to be modifiable, customizable, and forkable, with an MIT license, commercial-friendly use, TypeScript, strict end-to-end typing, and a monorepo that includes desktop, web, server, and harnesses.Starting Price: Free -
39
Claude Managed Agents
Anthropic
Claude Managed Agents is a pre-built, configurable agent system from Anthropic designed to run long-running, asynchronous tasks on managed infrastructure without requiring developers to build their own agent loops. It acts as a complete “agent harness,” allowing developers to define goals while the system handles execution, orchestration, and state management behind the scenes. Unlike direct model prompting, which requires step-by-step interaction, Managed Agents are designed for tasks that unfold over time, such as research, automation, or multi-step workflows, where the agent can continue working independently after being started. It supports advanced capabilities such as multi-agent orchestration, where a primary agent can coordinate specialized sub-agents that operate in parallel with isolated contexts, improving both speed and output quality. -
40
Herdr
Herdr
Herdr is a terminal-based runtime and multiplexer for developers who run AI coding agents, shells, tests, and other command-line tools. It organizes work into workspaces, tabs, and panes managed by a background server, so processes can keep running when a client disconnects. Users can reattach locally or connect to Herdr on other machines over SSH. The software detects supported coding agents and displays whether they are working, blocked, idle, or done; integrations can preserve native agent sessions after a server restart. Its CLI and local socket API let scripts and agents inspect sessions, manage panes, start or prompt agents, and wait for state changes. Developers can configure keybindings and themes and extend workflows with local executable plugins. Herdr is installed on macOS, Linux, or Windows and is released under the Apache 2.0 license.Starting Price: Free -
41
Forest
Forest
Forest is an operational infrastructure platform for regulated companies that helps teams run humans, AI agents, BPOs, LLMs, suppliers, and workflows together with full auditability and control. The platform acts as an operational backend between company data, compliance providers, human teams, AI agents, and tools connected through MCP. Forest includes business logic, smart actions, workflows, permissions, RBAC, audit trails, and a shared control plane deployed inside the customer’s infrastructure. It supports regulated workflows such as KYC, KYB, onboarding, document checks, beneficial-owner discovery, screening, risk routing, agent triage, and human review. Every provider call, agent step, workflow action, and reviewer decision is recorded at the record level for compliance and audit readiness. Built for regulated operations, Forest helps companies make agentic operations safer, faster, more governed, and easier to scale.Starting Price: $0.00/month -
42
SuperBased
SuperBased
SuperBased is a local-first control plane for AI coding agents that lets developers see, control, and right-size agent activity from one binary running on their own machine. It reads native session data from 40 coding tools without requiring a proxy, SDK rewrite, or special configuration, supporting agents such as Claude Code, Codex, Cursor, GitHub Copilot, OpenCode, Gemini CLI, Kilo Code, Qwen Code, Aider, Devin, and others. The dashboard tracks provider-reported token usage, cache reads and writes, costs, sessions, and projected next-message spend across tools that normally keep their data separate. Developers can also launch more than 20 CLI agents as terminal sessions, monitor several repositories from one screen, attach to a running agent, take over the keyboard, and hand control back when needed. Model routing helps teams match tasks to appropriate models, while egress gates can hold commands before execution so users can stop or redirect costly or risky actions.Starting Price: $0.90 per month -
43
Giselle
Giselle
Giselle is a software platform that creates powerful AI Agents through a visually intuitive, node-based interface, allowing you to link multiple LLMs and data sources so they can work together like members of a team. These Agents automate essential tasks such as market research, pull request reviews, and documentation, freeing human collaborators to focus on creative problem-solving. By visually connecting nodes that represent different AI functions or data channels, even sophisticated workflows become easy to build and maintain, much like game engines that transform complex processes into manageable systems. Through this approach, Giselle introduces a multi-agent orchestration that continuously evolves your documentation, accelerates product development, and integrates smoothly with GitHub to streamline your day-to-day engineering routines.Starting Price: $20/month/user -
44
SEAOTTER
SEAOTTER
SEAOTTER is a managed control plane for Hermes Agent on Google Cloud. Isolated, always-on agents. No VPS. No SSH. You create an agent in the dashboard. SEAOTTER provisions a per-agent namespace with a gVisor sandbox, typically in a few minutes. Pause, restart, restore, and reprovision from the API or UI. Logs and metrics included. You do not SSH into a box. Secrets go in a write-only tab and are stored in Google Secret Manager. Hermes loads them at startup. Do not paste keys into chat. After signup, connect with an org-scoped so_ MCP key from Cursor, Claude, or Codex. Hermes is the live harness: tools, memory, cron. us-central1 is live. 7-day trial, no credit card, one agent only (1 CPU / 4Gi / 8Gi). Then $99 per always-on agent / month. Extra agents after convert at +$99. Custom is book-a-call.Starting Price: $99 -
45
AI Hive
AI Hive
AI Hive is an enterprise AI agent platform designed to help organizations build, orchestrate, and govern intelligent AI agents across their entire business ecosystem. The platform enables companies to deploy scalable AI solutions securely while maintaining full control over data, governance, and compliance requirements. AI Hive allows enterprises to integrate AI agents with existing systems, data sources, and enterprise tools to automate workflows and improve operational efficiency. Through its marketplace, organizations can access ready-made AI agents built for various industries, including finance, healthcare, manufacturing, and legal services. These agents can handle tasks such as contract analysis, fraud detection, supply chain optimization, and customer support automation. The platform is designed to help businesses move beyond AI experimentation and successfully deploy production-ready AI solutions.Starting Price: $29/month -
46
OpenAI Frontier
OpenAI
OpenAI Frontier is a new enterprise AI agent platform that helps businesses build, deploy, manage, and orchestrate fleets of AI agents that can perform real work inside existing systems, workflows, and data environments. It provides a unified framework where organizations can integrate AI agents, whether created by OpenAI or third parties, connect them with internal tools like CRM, data warehouses, ticketing systems, and other enterprise applications, and give them shared context, permissions, memory, and oversight so they can act reliably on business-relevant tasks. Frontier’s goal is to move AI agents from isolated pilots into production by providing features like shared business context, governance controls, onboarding workflows, observability, and secure access boundaries while allowing companies to centralize and scale intelligent automation in a way similar to how HR systems manage human work. -
47
Conductor
Conductor
Conductor lets you run a team of coding agents on your Mac, giving each Claude Code or Codex agent its own isolated workspace so you can parallelize software work without losing control. Add your repo, and Conductor clones it and works entirely on your Mac. Deploy agents, and each one gets a separate git worktree where it can work independently. Then conduct: see who is working, what needs attention, review code, and merge finished branches. Conductor is built around the idea that developers are becoming AI managers, coordinating many agents at once instead of working through a single chat. It supports Claude Code and Codex, with model selection, Plan Mode, Fast Mode, reasoning controls when available, checkpoints, skills, and agent-specific session controls. Plan Mode asks the agent to make a plan before editing files, making it useful for broad, risky, ambiguous, or multi-file changes. -
48
Intent
Augment Code
Intent is a public beta desktop workspace designed for spec-driven development and multi-agent orchestration, enabling developers to plan, execute, and iterate on complex coding tasks using coordinated AI agents. It places living specifications at the center of the workflow so teams can define what should be built and allow agents to implement it while keeping the spec continuously updated to reflect actual output. It provides a unified environment where multiple agents can run in parallel without conflicts, eliminating the need to juggle terminals, branches, or scattered prompts. Powered by Augment’s Context Engine, each agent shares a deep understanding of the entire codebase, ensuring alignment between planning, execution, and verification stages. Intent supports major state-of-the-art models and allows developers to mix and match them based on task complexity, whether for architecture design, rapid iteration, or deep code analysis.Starting Price: $20 per month -
49
Archestra
Archestra
Archestra is an open source, self-hosted AI platform for deploying and governing agents across an organization. It provides agentic chat for non-developers, apps and skills, shared projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and observability in one platform. Users sign in with SSO, and every tool call runs under that person’s own identity rather than a shared service account. Projects keep chats, files, scheduled tasks, and instructions together, while agents run in sandboxed containers and can start from schedules, emails, or webhooks. MCP servers run in the organization’s own Kubernetes environment and move through security-reviewed promotion flows with separate credentials and network policies. Knowledge bases can connect Confluence, Jira, drives, and internal documents while preserving source-system ACLs, so users only retrieve content they are already allowed to access.Starting Price: Free -
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Mistral AI Studio
Mistral AI
Mistral AI Studio is a unified builder-platform that enables organizations and development teams to design, customize, deploy, and manage advanced AI agents, models, and workflows from proof-of-concept through to production. The platform offers reusable blocks, including agents, tools, connectors, guardrails, datasets, workflows, and evaluations, combined with observability and telemetry capabilities so you can track agent performance, trace root causes, and govern production AI operations with visibility. With modules like Agent Runtime to make multi-step AI behaviors repeatable and shareable, AI Registry to catalogue and manage model assets, and Data & Tool Connections for seamless integration with enterprise systems, Studio supports everything from fine-tuning open source models to embedding them in your infrastructure and rolling out enterprise-grade AI solutions.Starting Price: $14.99 per month