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File-based agent communication via MISSION_CONTROL.md is elegantly simple.
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GitHub Repository
your favorite harness deserves a chassis 🏎️ - multi-agent orchestration layer for experimental design
10 starsPython
Multi-agent orchestration layer for experimentation
by theo-kirby·May 17, 2026·1 point·0 comments
AI Analysis
●MidShip It
File-system driven agent config is clean, but OpenClaw and LangGraph already solve this.
Strengths
- •Two-user filesystem isolation keeps secrets out of the agent's address space.
- •Per-branch namespacing allows multi-tenant chassis operation on a single host.
- •Pluggable LLM runtime supports swapping between Pi, Claude Code, or custom agents.
Weaknesses
- •Zero stars and forks suggest an embryonic project lacking community validation.
- •Reinvents orchestration wheels already turned by mature frameworks like LangGraph.
Category
Target Audience
AI researchers and developers building multi-agent systems
Similar To
LangGraph · OpenClaw · AutoGen
Post Description
chassis is a bare-bones agent orchestration layer designed around a two user agent-native file system running in docker. The goal is to streamline the agent/task hierarchy into its simplest form for maximum extensibility and minimal bloat.
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