Compare the Top AI Control Planes that integrate with GitHub as of September 2026

This a list of AI Control Planes that integrate with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.

What are AI Control Planes for GitHub?

AI control planes are centralized platforms that help organizations govern, manage, secure, and observe AI models, agents, applications, and infrastructure across enterprise environments. These platforms provide a unified layer for controlling access to AI services, routing model requests, enforcing policies, managing credentials, tracking usage, and monitoring performance across multiple models and AI providers. AI control planes often include capabilities such as model gateways, AI agent governance, guardrails, cost management, observability, security controls, audit logging, rate limiting, and policy enforcement. Many solutions integrate with large language models (LLMs), AI agents, cloud AI services, inference platforms, identity systems, developer tools, and enterprise applications to provide centralized oversight of an organization's AI ecosystem. By consolidating AI management and governance into a common control layer, AI control planes help organizations reduce risk, control costs, improve visibility, and scale AI adoption across teams and applications. Compare and read user reviews of the best AI Control Planes for GitHub currently available using the table below. This list is updated regularly.

  • 1
    MuleSoft Anypoint Platform
    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.
  • 2
    Maetra

    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
  • 3
    Arcade

    Arcade

    Arcade

    Arcade.dev is an AI tool-calling platform that enables AI agents to securely perform real-world actions, like sending emails, messaging, updating systems, or triggering workflows, through authenticated, user-authorized integrations. By acting as an authenticated proxy based on the OpenAI API spec, Arcade.dev lets models invoke external services (such as Gmail, Slack, GitHub, Salesforce, Notion, and more) via pre-built connectors or custom tool SDKs, managing authentication, token handling, and security seamlessly. Developers work with a unified client interface (arcadepy for Python or arcadejs for JavaScript), facilitating tool execution and authorization without burdening application logic with credentials or API specifics. It supports secure deployments in the cloud, private VPCs, or on premises, and includes a control plane for managing tools, users, permissions, and observability.
    Starting Price: $50 per month
  • 4
    Obot MCP Gateway
    Obot is an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway that gives organizations a centralized control plane for discovering, onboarding, managing, securing, and scaling MCP servers, services that connect large language models and AI agents to enterprise systems, tools, and data. It bundles an MCP gateway, catalog, admin console, and optional built-in chat interface into a modern interface that integrates with identity providers (e.g., Okta, Google, GitHub) to enforce access control, authentication, and governance policies across MCP endpoints, ensuring secure, compliant AI interactions. Obot lets IT teams host local or remote MCP servers, proxy access through a secure gateway, define fine-grained user permissions, log and audit usage, and generate connection URLs for LLM clients such as Claude Desktop, Cursor, VS Code, or custom agents.
    Starting Price: Free
  • 5
    Oz

    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
  • 6
    Barndoor.ai

    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
  • 7
    Humatron AI

    Humatron AI

    Humatron AI

    Humatron is an enterprise AI workforce platform that turns AI agents into secure, trusted, vendor-neutral AI workers that operate across teams, tools, and business workflows. Organizations can build, hire, customize, onboard, train, monitor, and govern AI workers from a single control plane, managing them more like digital employees than standalone assistants. Each worker can be powered by modern core agents such as Claude, OpenAI, Manus, OpenClaw, Hermes, Cursor, or custom agentic systems, allowing companies to mix or replace underlying models without changing the workforce layer. AI workers can act autonomously, initiate and complete tasks, collaborate across teams, learn new skills, and interact through existing channels such as email, Slack, Teams, Zoom, and phone. Builds define reusable tools, rules, behaviors, and agent integrations, while each hired worker becomes an isolated instance customized for a specific company, team, and job.
    Starting Price: $1 for 100 credits
  • 8
    JetStream Security
    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.
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