ai-memory — Persistent Memory for Any AI

@AlphaOne LLC

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7 days ago

Persistent memory for any AI assistant. Zero token cost until recall. Stores memories locally in SQLite, ranks by 6-factor scoring, returns results in TOON compact format (79% smaller than JSON). 17 MCP tools, 20 HTTP endpoints, 25 CLI commands. 4 tiers from keyword to autonomous with local LLMs via Ollama. 97.8% recall accuracy on ICLR 2025 LongMemEval benchmark. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, Continue.dev, OpenClaw, Llama, and any MCP client. Open source, MIT licensed, written in Rust.

Overview Tools Comments

Overview

ai-memory

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ai-memory — Persistent Memory for Any AI

Zero token cost until recall. Built-in memory systems inject 200+ lines into every message. ai-memory uses zero context tokens until memory_recall is
called. Only relevant memories return, ranked by 6-factor scoring. TOON format responses are 79% smaller than JSON.

ICLR 2025 LongMemEval Benchmark

97.8% R@5 (489/500) · 99.8% R@20 (499/500) · 232 q/s · $0 cloud cost

17 MCP Tools

memory_store · memory_recall · memory_search · memory_list · memory_get · memory_update · memory_delete · memory_promote · memory_forget · memory_link · memory_get_links · memory_consolidate · memory_capabilities · memory_expand_query · memory_auto_tag · memory_detect_contradiction · memory_stats

4 Tiers (all local, no cloud)

keyword → semantic (default) → smart (Ollama) → autonomous (Ollama)

8 AI Platforms

Claude · Codex · Gemini · Cursor · Windsurf · Continue.dev · Grok · Llama

Install

cargo install ai-memory

Rust + SQLite + FTS5 + HNSW. 161 tests. MIT licensed.

Try in Playground

Server Config

{
  "mcpServers": {
    "memory": {
      "command": "ai-memory",
      "args": [
        "--db",
        "~/.claude/ai-memory.db",
        "mcp",
        "--tier",
        "semantic"
      ]
    }
  }
}

Build with ShipAny.