Kindex

The memory layer AI coding agents don't have.

Kindex does one thing. It knows what you know.

It's a persistent knowledge graph for AI-assisted workflows. It indexes your conversations, projects, and intellectual work so that Claude Code, Codex, Gemini CLI, OpenCode, Cursor, and other MCP-capable agents never start a session blind. Available as a free MCP plugin or standalone CLI.

Memory plugins capture what happened. Kindex captures what it means and how it connects. Most memory tools are session archives with search. Kindex is a weighted knowledge graph that grows intelligence over time — understanding relationships, surfacing constraints, and managing exactly how much context to inject based on your available token budget.

Install

Pick whichever installer you already use. They all install the same kin and kin-mcp binaries.

# pip
pip install 'kindex[mcp]'

# uv (single binary, no virtualenv)
uv tool install 'kindex[mcp]'

# uvx (no install — runs from cache, useful for one-off MCP invocation)
uvx --from 'kindex[mcp]' kin-mcp --help

# from source
git clone https://github.com/jmcentire/kindex && cd kindex && make install

Then initialize the graph:

kin init

Extras — combine in one install ('kindex[mcp,llm,reminders]') or use 'kindex[all]':

Homebrew and apt packages aren't published yet. Use pip, uv tool, uvx, or source until they are.

Install as Agent MCP Plugin

Each agent reads MCP servers from a different config file. The kin setup-*-mcp commands write the right shape into the right path; the manual snippet is shown alongside in case you'd rather edit the file yourself.

Claude Code

claude mcp add --scope user --transport stdio kindex -- kin-mcp
kin init

Or add .mcp.json to any repo for project-scope access:

{ "mcpServers": { "kindex": { "command": "kin-mcp" } } }

Claude Code now has 30+ native tools: search, add, context, show, ask, learn, link, list_nodes, status, suggest, graph_stats, graph_merge, dream, changelog, ingest, tag_start, tag_update, tag_resume, remind_*, mode_*, and more.

For coding agents, install both the MCP server and the instruction file. The instruction file tells the model how to use kindex: start a session tag, read tracked .kin/config, check project policy, search before adding, capture durable decisions, and end the tag with a summary.

Codex

kin setup-codex-mcp
kin setup-agents-md --install --global
kin ingest codex-sessions   # optional: backfill saved Codex sessions

Or hand-edit ~/.codex/config.toml:

[mcp_servers.kindex]
command = "kin-mcp"

Gemini CLI

kin setup-gemini-mcp
kin setup-gemini-md --install

Or hand-edit ~/.gemini/settings.json:

{ "mcpServers": { "kindex": { "command": "kin-mcp", "args": [] } } }

OpenCode

kin setup-opencode-mcp

Or hand-edit `~/.conf

... View full README on GitHub