Kairn MCP Server
by primeline-aiio.github.primeline-ai/kairnv0.2.1
Local-first knowledge engine for AI agents: memory, graph, and recall over MCP.
context tax
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security
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cold start
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freshness
Active4d ago
Install Kairn MCP server
No published package or hosted endpoint yet — see the repository README for build-from-source instructions.
Configuration
| Variable | Required | Secret | Description |
|---|---|---|---|
| KAIRN_WORKSPACE | — | — | Directory holding the Kairn database. Everything Kairn stores stays inside it and never leaves this machine. Defaults to ~/.kairn. |
Freshness
Active — last maintenance signal 4d ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-10-05 · 4d ago · GitHub
Latest release
2026-07-07 · 3mo ago · GitHub · v0.2.1
Package published
no data · npm/PyPI
Registry entry updated
2026-08-24 · 46d ago · official registry · v0.2.1
FAQ
›Does Kairn require an API key?
No required environment variables are declared in its published metadata.
›Can I use Kairn as a remote (hosted) MCP server?
No hosted endpoint is published; it runs locally over stdio.
›Is Kairn in the official MCP registry?
Yes, as io.github.primeline-ai/kairn.
Alternatives to Kairn
Other memory MCP servers.
MemoryActiveKnowledge graph-based persistent memory for maintaining context.
HindsightActiveHindsight: long-term memory for AI agents modeled on human memory.
Codebase MemoryActiveIndexes a repo into a persistent local knowledge graph of functions, classes, call chains, HTTP routes and cross-service links, using tree-sitter and LSP.
CogneeActiveMemory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.
HonchoActiveMemory that reasons: continual learning for stateful agents. Better context, fewer tokens.
Basic MemoryActiveLocal-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.