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  1. Home
  2. πŸ€– Coding Agents
  3. Trinity Lite
Trinity Lite logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 5:32:18 PM

Trinity Lite

User RatingsBe the first to rate and review this MCP server!
View Repository5 GitHub StarsTotal stargazers on GitHub for the source repository (5 stars).Visit Website

Local-first task bus for CLI coding agents with capability-based routing and SQLite state persistence.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "yomiracle-trinity-lite": {
      "command": "uvx",
      "args": [
        "trinity-lite"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ€– More in Coding Agents

Overview

Trinity Lite provides a local control plane to coordinate multiple CLI-based coding agents by routing tasks based on capabilities rather than agent names. It persists all task states, results, and messages in a local SQLite database to enable recovery, auditing, and acceptance with evidence. The server supports running CLI workers on demand, safe execution without shell injection, and prevents unsafe delegation loops. It is designed for developers who want to integrate existing coding agents without rebuilding them in a new framework.

Use cases

β€’Route coding tasks to agents based on their capabilities
β€’Persist and query task state and results locally using SQLite
β€’Run CLI-based AI agents collaboratively with recovery and review
β€’Verify and accept agent outputs with recorded evidence
β€’Isolate agent code changes using git worktrees

Key features

β€’Capability-based task routing without hardcoded agent names
β€’Local SQLite database for all tasks, statuses, results, and messages
β€’CLI worker execution with JSON-array commands and no shell injection
β€’Configurable delegation depth and working directory allowlist for safety
β€’Mock agents for testing routing and workflows without real CLIs
β€’Health checks via a single command to verify environment and configs

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Trinity Lite.

Extracted Tool Capabilities
Capability-based task routing without hardcoded agent names
Local SQLite database for all tasks, statuses, results, and messages
CLI worker execution with JSON-array commands and no shell injection
Configurable delegation depth and working directory allowlist for safety
Mock agents for testing routing and workflows without real CLIs
Health checks via a single command to verify environment and configs

Documentation Overview

Trinity Lite

Tests Python 3.10+ License: MIT Release PyPI Yomiracle/trinity-lite MCP server

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

Trinity Lite is a local control plane for Codex, Claude Code, Hermes, and custom CLI agents. It connects the tools you already use; it does not ask you to rebuild them inside another framework.

δΈ­ζ–‡ README Β· Docs Β· Why Trinity Lite? Β· Recipes

The problem

You already use more than one capable coding agent. The hard part is no longer starting another agent; it is preserving task truth across tools, recovering after a client disconnects, preventing duplicate work, and deciding when a result is actually accepted. Trinity Lite is that local operations layer.

What it does

  • Route by capability, not name. You describe the task. The router matches it to the right agent β€” no hardcoded agent names, no fragile dispatch logic. "Implement a rate limiter" lands on the agent you tagged implement. "Review the auth module" goes to the agent tagged review.
  • Give every agent a pull queue. Workers read pending tasks from the shared bus, execute them via CLI, and write results back. Each agent polls on its own schedule. You never copy-paste an output between terminals again.
  • Remember every decision. Every task, status change, result, error, and inter-agent message lands in a local SQLite database. Query who did what, when, and what happened β€” without setting up a logging pipeline.
  • Review, verify, then accept. orchestrate runs primary work, routes the required review, runs local verification, and writes acceptance evidence back to SQLite.
  • Block footguns before they fire. Self-routes become explicit local-work decisions instead of creating loops. Delegation depth has a hard cap. Working directories must be in the allowlist.

Quick start

30 seconds, no agents required:

Terminal
pip install trinity-lite
trinity-lite doctor
trinity-lite orchestrate "implement a hello-world function"

Mock agents are built in. You see the full route β†’ work β†’ review β†’ verify β†’ accept cycle before you wire up anything real.

Not another framework

Trinity Lite does not build agents. It operates the agents you already have.

LangGraph and CrewAI give you primitives for building agents from scratch β€” graph definitions, role abstractions, and tool wrappers. Trinity Lite starts from the opposite end: Claude Code is running in one terminal, Codex is running in another, and their work needs reliable handoff, recovery, independent review, and an acceptance trail. No new agent abstraction. Just local AgentOps for the CLIs you already use.

Who this is for

You are...Trinity Lite helps you...
An advanced solo developer using two or more agent CLIsReplace manual terminal handoffs with one durable workflow and evidence trail
A small AI-native engineering teamSeparate implementation, review, verification, and acceptance without deploying a control server
A local-first or privacy-sensitive developerKeep task state in an inspectable SQLite database on your machine
An agent-tool integratorConnect existing CLIs through a neutral bus and MCP surface

Features

  • Route by capability. Tag agents with implement, review, audit β€” the router matches tasks to the agent that can do them. No agent names in your dispatch logic.
  • Dispatch directly when you need control. Bypass the router and send a task straight to claude_code or codex. Best of both worlds.
  • Persist everything in SQLite. Tasks, statuses, results, errors, and messages in one local file. Query it with sqlite3 or any tool that speaks SQL.
  • Accept with evidence, not vibes. The review flow records route decisions, review links, verification results, acceptance reasons, and accepted_at in SQLite. A reviewed task is accepted only after the local verifier passes.
  • Isolate agent code edits with git worktrees. Released as a v0.6 preview: trinity-lite worktree creates managed branches and checkouts, records the base commit, and returns diff evidence without touching your main checkout.
  • Run CLI workers on demand. trinity-lite worker codex --once pulls one queued task, executes the agent's command, and writes the result. Run it in a loop, in cron, or by hand.
  • Execute safely, no shell injection. Agent commands are JSON arrays run with shell=False. No string interpolation into a shell. No surprises.
  • Test with mock agents. Mock agents simulate the full cycle without real CLIs. Prototype routing, persistence, and review handoffs first. Wire up real agents later.
  • Guard against runaway delegation. Self-delegation is blocked. Delegation depth is capped. Working directories are allowlisted. Safe by default.
  • Check health in one pass. trinity-lite doctor verifies Python, SQLite, route config, agent config, and publish readiness.
  • Zero core dependencies. The default runtime is Python standard library only. YAML pipelines are available through an optional extra.
  • 150+ tests guarding the surface area. Mock workflows, safety checks, routing, persistence, MCP, and acceptance gates β€” all covered.
  • Optional model selection hints. Select from your declared model pool with transparent task, tier, and capability rules; no claim of a universal best or cheapest model.

Install

Terminal
pip install trinity-lite

Python 3.10+. Zero core runtime dependencies. Standard library only unless an optional extra is installed.

Optional extras

Terminal
pip install "trinity-lite[yaml]"          # YAML pipeline files
pip install "trinity-lite[mcp]"           # MCP server β€” 13 tools + 3 resources
pip install "trinity-lite[agent-skill]"   # agent-skill-system integration

Workflow example

Route primary work β†’ run the worker β†’ run the reviewer β†’ verify β†’ accept. One command, one audit trail.

bash
trinity-lite orchestrate "implement a rate limiter for the API"

The primary task row records route_json, review_task_id, verification_json, acceptance_status, acceptance_reason, and accepted_at.

Ready for real CLIs when you are:

bash
cp examples/agents.command.example.json agents.local.json
trinity-lite orchestrate "implement a rate limiter for the API" --agents agents.local.json

Prefer manual control? Use the lower-level bus commands:

bash
trinity-lite dispatch-auto "implement a parser"
trinity-lite worker codex --once
trinity-lite tasks

Worktree Preview

This is a v0.6 preview. It manages isolated worktree lifecycle and diff evidence while keeping automatic merge-back out of scope.

Create an isolated checkout for an agent:

bash
trinity-lite worktree create "fix parser bug" --repo . --agent codex
trinity-lite worktree list
trinity-lite worktree diff <task_id>
trinity-lite worktree cleanup <task_id>

Worktree preview records branch, base commit, path, agent id, task id, and diff evidence. It does not merge branches or delete branches by default. See Worktree Parallelism Preview.

MCP server

Turn the task bus into an MCP server. Let any MCP client dispatch, query, and route tasks.

Terminal
pip install trinity-lite[mcp]
trinity-lite mcp serve

13 tools:

ToolWhat it does
trinity_dispatchDispatch a task to a specific agent
trinity_dispatch_autoDispatch and let the capability router pick the agent
trinity_orchestrateRun the default review flow or a YAML pipeline
trinity_statusGet the state and result of any task by ID
trinity_latestRecover the latest task submitted by an agent
trinity_tasksList recent tasks, filterable by agent
trinity_workerRun one worker cycle for an agent
trinity_worker_daemonStart, stop, or inspect a daemon worker
trinity_doctorRun health and diagnostic checks
trinity_inboxRead durable messages for an agent
trinity_sendSend a message from one agent to another
trinity_skill_searchSearch agent-skill-system for relevant skills
trinity_skill_loadLoad the full content of a named skill

3 resources: trinity://health, trinity://tasks/recent, trinity://tasks/{task_id}

If an MCP client disconnects or times out before it displays the task id, call trinity_latest for the source agent, then call trinity_status with the returned primary task id. By default trinity_latest skips secondary review children so recovery lands on the user-facing task.

Acceptance Evidence

trinity-lite orchestrate now writes a local acceptance trail to the task row:

  • route_json: JSON-encoded route decision used for primary dispatch
  • review_task_id and parent_task_id: links between primary work and secondary review
  • gate_status: primary_pending, review_pending, review_passed, review_attention, verification_failed, or accepted
  • verification_json: JSON-encoded local verifier result, defaulting to trinity-lite doctor
  • acceptance_status, acceptance_reason, and accepted_at

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
5
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Trinity Lite

No, it operates existing CLI agents and coordinates their workflows without requiring new agent abstractions.

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Technical Specs & Signals

CategoryπŸ€–Coding Agents
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedAug 7, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars5
GitHub Star CountTotal stargazers on GitHub representing community popularity (5 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 13, 2026
48Quality signal: Fair Β· 48/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools22/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 14d ago via OSV.dev Β· trinity-lite (PyPI)

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