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A Developer Just Gave Claude, Cursor, And Codex A Permanent Memory. Here's How To Turn It On.

The free setup guide for Memanto, the open-source memory layer that stops your AI from forgetting your project every session. Two one-line commands, no vector database, no API key, runs on your own machine. Includes the exact memory to seed and an honest note on using it safely.

  • The two commands that install and connect it (pip install memanto, then one line)
  • The exact memory to seed so a brand new session already knows your project
  • remember / recall / answer - the whole mental model in 3 commands
  • Cloud or fully local setup, plus how to switch between them anytime
  • The honest take: where it shines, where it's still green, and how to use it without losing data

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The free Memanto setup guide for AI coding agents: install + connect in two commands, seed your first memory, the remember/recall/answer model, and how to use it safely while it's still new.

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A look inside

What's inside

01

What's Inside

Two one-line commands to install and connect (no vector DB, no API key, no bill) The exact memory to seed so your agent picks up right where you left off Honest take: where it shines, where it's still green, and how to use it safely Every time you start a fresh session, your AI c

02

```

pip install memanto ``` Then run memanto once and pick a backend.

03

```

memanto connect claude-code or: memanto connect cursor / memanto connect codex ``` That one line wires Memanto into your agent.

The rest of the guide

  1. Before you trust it, give it one explicit memory and confirm it comes back. This is also the cleanest way to prove the payoff to yourself:It returns your context instantly.
  2. Memanto is built around three commands. remember stores a memory. recall searches and returns the relevant ones. answer generates a grounded reply using your stored memory as context, no extra API key needed. That's the whole mental model.TYPE YOUR MEMORIES FOR CLEANER RECALL Tag what you store so retrieval stays sharp.
  3. Memory tools for AI agents are a crowded field: Mem0, Letta, Supermemory, Cognee, and Zep are all established, with years of production use and tens of thousands of stars each. Memanto is the new entrant (about 1,400 stars). Its real differentiators are genuine: no vector database, runs fully local, and an information-theoretic retrieval engine (Moorcheh) that makes a memory searchable the instant it's written. The team reports strong benchmark numbers (beating Mem0, Zep, and Letta on LongMemEval and LoCoMo), but those are largely self-reported, so treat them as promising, not proven. Bottom line: a sharp, free, fast-moving newcomer that's well worth trying, not yet a battle-tested standard.USE IT SAFELY: START ON A SIDE PROJECT It's young and moving fast.

About the author

Cooper Simson

Founder of Actionable AI. 30,000+ operators read the newsletter.

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