Back to browse
GitHub Repository

The orchestration layer for AI agent teams — MCP-native orchestrator with unified memory, IntentGate routing, and structured handoff protocol.

1 starsPython

TeamOlimpo: Handoffs and mandatory SOPs for multi-agent coordination

by tensor_mill·Jun 7, 2026·3 points·0 comments

AI Analysis

●●SolidBig BrainShip It

Structured handoff protocol enforces auditable agent coordination where CrewAI and LangGraph don't.

Strengths
  • Handoff protocol forces every agent to write structured status files before returning control.
  • MCP-native from day one instead of bolting it onto existing frameworks.
  • Quality gates with ruff, mypy, pytest ensure code agents meet standards before delivery.
Weaknesses
  • Multi-agent orchestration is crowded (CrewAI, LangGraph, AutoGen) with well-funded competitors.
  • Alpha stage with 0 stars means unproven at scale despite interesting architecture.
Category
Target Audience

AI agent developers, teams running multi-agent pipelines

Similar To

CrewAI · LangGraph · AutoGen

Similar Projects