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khive

v0.5.0

Published

Research knowledge graph runtime over MCP stdio, with typed entities, closed ontology, and hybrid search for AI research agents.

Readme

khive

A research knowledge graph runtime: 78 verbs, 11 packs, one MCP tool.

GitHub crates.io

Install

npm install -g khive

Configure

Add to .mcp.json (project-level or ~/.claude/mcp.json for global):

{ "mcpServers": { "khive": { "command": "khive", "args": ["mcp"] } } }

All 11 packs load by default. A background daemon auto-spawns to keep the runtime warm.

What you get

| Pack | Verbs | What it does | | ------------- | ----- | ------------------------------------------------------------------------------------ | | kg | 18 | Entities, edges, notes, graph queries, proposals | | gtd | 5 | Task lifecycle (inbox → next → active → done) | | memory | 5 | Salience-weighted remember / decay-ranked recall | | brain | 15 | Bayesian user profiles + feedback loop | | comm | 7 | Threaded messaging | | schedule | 4 | Reminders and scheduled verb execution | | knowledge | 19 | Atom-based KB with embedding rerank search | | session | 4 | Session record persistence (store/list/resume/export) | | git | 1 | Git-lifecycle note kinds (commit/issue/pull_request) + batch ingester + git.digest | | code | 0 | Finding note kind; ingest is admin-CLI-only (kkernel code-ingest), no MCP verb |

Usage

khive mcp                   # Start MCP server (used by Claude Code)
khive kg init               # Initialize .khive/kg/ in a git repo
khive kg validate           # Check NDJSON files against schema

Documentation