escapeboy/agent-fleet-o
by Various
Open-source AI agent orchestration platform — self-hosted mission control for autonomous multi-agent systems. Visual DAG workflows, 450+ MCP tools, human-in-the-loop approvals. Wor
MCP
escapeboy/agent-fleet-o
Added 1 June 2026
Overview
An open-source platform for orchestrating autonomous multi-agent AI systems. It provides self-hosted mission control with visual DAG workflows, 450+ MCP tools, and human-in-the-loop approvals. Supports Claude, GPT-4o, Gemini, Ollama, and Codex.
Best for
Best for
Developers who need a self-hosted multi-agent orchestration platform with visual workflow design and human oversight
Use cases
- Orchestrating multi-agent workflows for complex automation tasks
- Integrating human approval steps into autonomous agent processes
- Combining multiple LLMs and MCP tools in a single visual pipeline
How to use
Tools exposed
MCP Tool
Tested with
Claude Desktop, Claude Code, Cursor, ChatGPT
Notes
An open-source platform for orchestrating autonomous multi-agent AI systems. It provides self-hosted mission control with visual DAG workflows, 450+ MCP tools, and human-in-the-loop approvals. Supports Claude, GPT-4o, Gemini, Ollama, and Codex.
30 stars on GitHub. Last updated 2026-06-01. Licensed AGPL-3.0.
Use cases
- Orchestrating multi-agent workflows for complex automation tasks
- Integrating human approval steps into autonomous agent processes
- Combining multiple LLMs and MCP tools in a single visual pipeline
Pros
- Self-hosted gives full control over data and infrastructure
- Visual DAG workflows simplify designing agent interactions
- Supports a wide range of LLMs and 450+ MCP tools
Cons
- Small community with only 30 GitHub stars, limiting support
- Built in PHP, which may reduce appeal for developers preferring Python or JavaScript
- Requires self-hosting and ongoing maintenance effort
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Self-hosted gives full control over data and infrastructure
- Visual DAG workflows simplify designing agent interactions
- Supports a wide range of LLMs and 450+ MCP tools
Cons
- Small community with only 30 GitHub stars, limiting support
- Built in PHP, which may reduce appeal for developers preferring Python or JavaScript
- Requires self-hosting and ongoing maintenance effort
Open-source & AI alternatives
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Crewai
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Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Pairs with
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