Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"memory": {
"args": [
"--db",
"~/.claude/ai-memory.db",
"mcp",
"--tier",
"semantic"
],
"command": "ai-memory"
}
}
}Are you the author?
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ai-memory is a persistent memory system for AI assistants. It works with any AI that supports MCP -- Claude, ChatGPT, Grok, Llama, and more. It stores what your AI learns in a local SQLite database, ranks memories by relevance when recalling, and auto-promotes important knowledge to permanent storage. Install it once, and every AI assistant you use remembers your architecture, your preferences, your corrections -- forever.
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npx -y '@alphaone/ai-memory' 2>&1 | head -1 && echo "✓ Server started successfully"
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universal AI memory
ai-memory is a persistent memory system for AI assistants. It works with any AI that supports MCP -- Claude, ChatGPT, Grok, Llama, and more. It stores what your AI learns in a local SQLite database, ranks memories by relevance when recalling, and auto-promotes important knowledge to permanent storage. Install it once, and every AI assistant you use remembers your architecture, your preferences, your corrections -- forever.
| You are… | Your deployment is… | Start here |
|---|---|---|
| A single developer trying ai-memory | One AI client on a laptop | docs/install-quickstart.md — 5-min super-simple install + LLM-backend wired in one block |
| An engineer / architect | Single-node production, or multiple agents on one node | docs/INSTALL.md → docs/production-deployment.md |
| An engineer / architect | Multi-server / multi-rack / multi-DC / swarm / hive / federation | docs/enterprise-deployment.md — 8 topologies, singleton → multi-region |
| An engineer / architect | PostgreSQL + Apache AGE storage (multi-writer, 10M+ memories, KG-heavy) | docs/postgres-age-guide.md — first-class postgres operator guide |
| A decision-maker evaluating adoption | — | [docs/audience/decision-maker.html](https://alphaonedev.github.io/ai-memo |