OpenLore

clay-good/OpenLore
★ 134 stars TypeScript 🧠 Memory/Knowledge Updated 4d ago
openlore provides persistent architectural memory for AI coding agents by turning codebases into queryable knowledge graphs featuring static analysis, living specs, automated drift detection, and graph-native MCP tools to eliminate context decay and drastically slash orientation token costs.
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "openlore": {
      "command": "npx",
      "args": [
        "-y",
        "clay-good/OpenLore"
      ]
    }
  }
}

README Excerpt

> [!NOTE] > **`spec-gen` has been renamed to `OpenLore`.** The npm package is now [`openlore`](https://www.npmjs.com/package/openlore) and the CLI command is `openlore`. Existing projects: rename your `.spec-gen/` directory to `.openlore/` and reinstall (`npm i -g openlore`). See [docs/RENAME-TO-OPENLORE.md](docs/RENAME-TO-OPENLORE.md) for the full migration checklist.

Topics

adragentic-workflowsai-agentsai-codingcall-graphcodebase-analysiscontext-managementdeveloper-toolsdevtoolsdrift-detectionknowledge-graphliving-documentationllm-toolsmcpmcp-server