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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

E

MCP

escapeboy/agent-fleet-o

Added 1 June 2026

#agent-orchestration #agentic-ai #ai-agents #ai-automation #autonomous-agents #claude #crewai-alternative #langgraph-alternative

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

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