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Yomiracle/trinity-lite

by Various

Local AgentOps for cross-vendor CLI coding agents: route work, recover state, and accept only with evidence.

Y

MCP

Yomiracle/trinity-lite

Added 13 July 2026

#agent-orchestration #agentops #ai-agent #ai-coding #ai-tools #claude-code #cli #codex

Overview

A local AgentOps tool for coordinating multiple CLI-based coding agents from different vendors. It routes work between agents, recovers state after failures, and only accepts results when supporting evidence is provided.

Best for

Best for
Developers who need to orchestrate multiple CLI coding agents with structured failure recovery and verification.

Use cases

  • Route tasks across different vendor CLI agents for code generation
  • Recover agent state and resume work after a crash or interruption
  • Require agents to produce evidence before accepting their output

How to use

Install

pip install trinity-lite

Tools exposed

  • trinity_dispatch
  • trinity_dispatch_auto
  • trinity_orchestrate
  • trinity_status
  • trinity_latest
  • trinity_tasks
  • trinity_worker
  • trinity_worker_daemon
  • trinity_doctor
  • trinity_inbox
  • trinity_send
  • trinity_skill_search
  • trinity_skill_load

Tested with

Claude Code, ChatGPT

Notes

A local AgentOps tool for coordinating multiple CLI-based coding agents from different vendors. It routes work between agents, recovers state after failures, and only accepts results when supporting evidence is provided.

5 stars on GitHub. Last updated 2026-07-13. Licensed MIT.

Use cases

  • Route tasks across different vendor CLI agents for code generation
  • Recover agent state and resume work after a crash or interruption
  • Require agents to produce evidence before accepting their output

Pros

  • Works with any vendor’s CLI agent, avoiding vendor lock-in
  • Runs locally, keeping code and data on your own machine
  • Enforces evidence-based acceptance, improving reliability

Cons

  • Only supports command-line interface agents, not GUI or API-based tools
  • Requires Python environment and manual setup of agent configurations
  • Limited documentation and community support due to low popularity

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Works with any vendor's CLI agent, avoiding vendor lock-in
  • Runs locally, keeping code and data on your own machine
  • Enforces evidence-based acceptance, improving reliability

Cons

  • Only supports command-line interface agents, not GUI or API-based tools
  • Requires Python environment and manual setup of agent configurations
  • Limited documentation and community support due to low popularity
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