The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Openharness listing page.
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.
| Agent | Session Path | Format |
|---|---|---|
| Claude Code | ~/.claude/projects/ | JSONL |
| Codex CLI | ~/.codex/sessions/ | JSONL |
| Gemini CLI | ~/.gemini/tmp/<hash>/chats/ | JSON |
This registers OpenHarness as an MCP server in each agent's config.
get_agent_sessionsReturns recent session paths for all agents, filtered by project.
Input:
Output:
get_agent_sessionReturns the recent session path for a specific agent.
Input:
Output:
Returns null if no session is found.
| Agent | Strategy |
|---|---|
| Claude Code | Project path escaped with - as directory name |
| Codex CLI | Workspace field inside session JSONL |
| Gemini CLI | Project path hash matching tmp/<hash>/ |
No rules needed in agent instruction files. MCP tool descriptions are enough for agents to use naturally.
If you prefer to configure manually instead of using init:
Add this to your agent's MCP config file:
| Agent | Config File |
|---|---|
| Claude Code | ~/.claude/mcp.json or project .mcp.json |
| Codex CLI | project .codex/ |
| Gemini CLI | ~/.gemini/settings.json |
MIT