OpenHarness is a local MCP server that allows AI coding agents to reference each other's recent session files without a dedicated harness, maintaining the existing tool environment.
From the registry: Lets AI coding agents discover and reference each other's recent sessions.
$ npm install -g @freebird-ai/openharness$ openharness initPlease install the `openharness` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install globally** — Install the OpenHarness CLI. Run: `npm install -g @freebird-ai/openharness`
Optional prerequisites:
- Run init — Registers OpenHarness as an MCP server in each detected agent's config. Run: `openharness init`
Canonical MCP server config (stdio transport):
- command: `openharness`
- args: []
Note: Discovery layer that finds recent session files for Claude Code, Codex CLI, and Gemini CLI. Read-only — returns paths and metadata only.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
Validate oh-my-posh configurations and segment snippets against the official schema.