# ais

Plain-text local memory for AI agents. It maps user-defined keywords to notes and file paths, returning exact references without vector databases.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed · ★ 7
- Author: Anode1
- License: GPL-2.0 · policy=link-only · description only; the file stays with the author
- Source: https://github.com/Anode1/ais
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/mcp/ais

## What it does

ais maintains an associative catalog directly in plain text on your drive. Instead of running semantic approximations over embeddings, the tool indexes records strictly under the words you assign. Querying multiple labels returns items associated with all of them simultaneously. Target files or remote links stay where they are, as the index stores only pointers without duplicating data.

The core engine is compiled C without external runtimes or database engines. A command-line program serves as the primary layer. An agent accesses ais directly, pulling exact entries while using 2,900 tokens per query instead of 24,500 in standard search benchmarks.

Recall is intentionally binary. If a keyword misses or contains a typo, the engine yields an empty response rather than nearest neighbors. You must know your own tags, which prevents hallucinated or loosely matched context.

## Install

### Claude Code (native platform)

**Install**
- The MCP registry has no launch command for it: see the repository README

## When to use it
- retrieve stored file paths or credentials by exact keyword tags
- supply local context to coding agents with fewer tokens
- maintain personal knowledge in an archival plain-text index
- organize external files without copying or moving them

## Example prompts
- Look up our staging tunnel configuration in ais under dev and proxy
- Store the path to this repository in ais with tags backend auth
- Query ais for notes tagged deployment checklist

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md