agent-fleet-o: Open-source AI agent orchestration platform — self-hosted mission control for autonomous multi-agent systems

by escapeboy · MCP Server · ★ 74

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install agent-fleet-o

git clone https://github.com/escapeboy/agent-fleet-o.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-orchestrationagentic-aiai-agentsai-automationautonomous-agentsclaudecrewai-alternativelanggraph-alternativelaravellivewire

Quick Facts

Stars74
Forks12
LanguagePHP
CategoryMCP Server
LicenseAGPL-3.0
Quality Score65/100
Open Issues9
Last Updated2026-10-17
Created2026-02-08
Platformsclaude-code, codex, gemini, mcp
Est. Tokens~23k

About agent-fleet-o

FleetQ — Open-Source AI Agent Orchestration Platform Self-hosted mission control for AI agents. Build, run, and monitor autonomous multi-agent systems with a visual DAG builder, human-in-the-loop approvals, MCP server integration, and full audit trail. Works with Claude, GPT-4o, Gemini, Ollama, Codex, Claude Code, and any OpenAI-compatible LLM.

Compatible Skills

These tools work well together with agent-fleet-o for enhanced workflows:

  • noton — semantic(0.22)+complementary+shared_fw(ollama)+rare_topics+same_lang+similar_pop (60%)
  • atlas — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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