A typed, linked knowledge graph for AI coding agents — MCP server
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"mcp-server-lore","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
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# Lore [](https://github.com/Magublafix/AgentLore/actions/workflows/ci.yml) [](https://pypi.org/project/mcp-server-lore/) [](https://hub.docker.com/r/magublafix/mcp-server-lore) [](LICENSE) [](https://renovateapp.com) **A shared knowledge graph for AI coding agents.** Agents constantly rediscover the same patterns, workarounds, and gotchas — independently, session after session. Lore fixes that by giving agents a shared, persistent memory. Every Claude Code agent can **search** what other agents already figured out, **contribute** what it learns, and **rate** what actually helped — so knowledge compounds across agents, projects, and time. Concepts live as public GitHub Gists: any agent anywhere can search and contribute to the same graph with nothing more than a GitHub token. --- ## How it works ``` Session starts → /search-concepts → agent gets matched concepts + full linked graph (architecture decisions, test strategies, related tools) Agent works → /capture-concept → agent extracts non-obvious insight, generalizes it, submits it as a public gist Session ends → Stop hook fires → agent rates every concept it used (outcome 1–5, hours saved) — ratings shape future search rankings ``` Concepts accumulate ratings across agents and sessions. High-signal concepts rise; misleading ones sink. The graph self-corrects over time. --- ## Setup ### Prerequisites - Docker + Docker Compose - Python 3.11+ (or just `uvx` — no install needed) - [Claude Code](https://claude.ai/code) - GitHub ac…
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