Personal knowledge wiki as MCP tools — search, context, graph traversal.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"link": {
"args": [
"-m",
"link_mcp",
"--wiki",
"~/link/wiki"
],
"command": "python3"
}
}
}Are you the author?
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Link gives Codex, Claude, Cursor, Kiro, VS Code, Copilot, and other MCP clients the same durable memory about you and your work. It stays on your machine as plain Markdown, with sources, backlinks, graph context, review state, and an
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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Link gives Codex, Claude, Cursor, Kiro, VS Code, Copilot, Antigravity, and other local agents the same source-backed memory, stored locally as Markdown.
Website · How it works · Memory · Tools & CLI · Setup · Docs · MCP Registry · PyPI · Homebrew
Link is an open-source memory layer for local AI agents. Raw sources become an inspectable Markdown wiki. Explicit "remember this" requests become reviewable memories. Agents retrieve compact, source-backed context through the CLI, MCP, official skills, or the local viewer without dumping the whole wiki into a chat window.
The wiki is the storage layer. The product is durable memory that stays on your machine, remains readable in plain files, and can be shared across multiple agents instead of locked inside one vendor profile.
Link gives agents four simple moves:
raw/.wiki/.Most agent sessions start from zero. You re-explain preferences, repo decisions, project constraints, and why something matters. Link turns that repeated context into local memory agents can query.
| Pain | Link's answer |
|---|---|
| Agents forget you between sessions. | Save reviewed preferences, decisions, facts, and project context. |
| Notes are private or messy. | Keep raw sources local, then turn them into source-backed Markdown. |
| Context windows are expensive. | Return compact query packets with provenance and follow-up actions. |
| Memory needs trust. | Every page and memory can be inspected, reviewed, archived, or forgotten. |
Link follows Andrej Karpathy's LLM Wiki pattern: keep knowledge outside the chat window, make claims inspectable, and let context compound over time.
Start with the memory proof. It creates a clean local workspace, writes one reviewed memory, and proves that the same memory can be recalled through CLI, official skills, and MCP. No web server is required for the proof.
brew install gowtham0992/link/link
lnk proof
The installed comm