OpenHarness

AI 코딩 에이전트의 최근 세션 파일을 찾아 서로 참조하게 해주는 로컬 MCP 서버.

전용 하네스 없이 하네스처럼 동작한다. 기존 도구 환경을 그대로 유지하면서, 에이전트 간 세션을 연결하는 디스커버리 레이어.

Supported Agents (MVP)

Prerequisites

• Each agent must be able to read local files directly.
• OpenHarness only provides paths and metadata — it does not transform, relay, or store session content.

Install

npm install -g @freebird-ai/openharness
openharness init

This registers OpenHarness as an MCP server in each agent's config.

MCP Tools

get_agent_sessions

Returns recent session paths for all agents, filtered by project.

Input:

{ "project": "/Users/me/my-app" }

Output:

[
  {
    "agent": "claude-code",
    "path": "/Users/me/.claude/projects/-Users-me-my-app/session.jsonl",
    "format": "jsonl",
    "updatedAt": "2026-03-17T14:32:00Z",
    "matchedProject": "/Users/me/my-app",
    "matchedBy": "directory-name"
  }
]

get_agent_session

Returns the recent session path for a specific agent.

Input:

{ "agent": "claude-code", "project": "/Users/me/my-app" }

Output:

{
  "agent": "claude-code",
  "path": "/Users/me/.claude/projects/-Users-me-my-app/session.jsonl",
  "format": "jsonl",
  "updatedAt": "2026-03-17T14:32:00Z",
  "matchedProject": "/Users/me/my-app",
  "matchedBy": "directory-name"
}

Returns null if no session is found.

Project Matching

How It Works

User → Codex: "Review what Claude Code worked on recently"

Codex → OpenHarness MCP: get_agent_session({ agent: "claude-code", project: "..." })
Codex ← receives session path + metadata
Codex → reads the JSONL file directly and performs review

No rules needed in agent instruction files. MCP tool descriptions are enough for agents to use naturally.

Manual MCP Configuration

If you prefer to configure manually instead of using init:

{
  "mcpServers": {
    "openharness": {
      "command": "openharness",
      "args": []
    }
  }
}

Add this to your agent's MCP config file:

License

MIT