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rta-smriti-brain

by sulabhdubey

Rta-Smriti Brain is a local memory tool for AI coding agents. It indexes a project's code, decisions and test evidence into a SQLite database on your machine, so a new agent session can pick up work without being briefed again.

Worth a lookEstablished, with a few things to check (listed below).

View on GitHubProject website

Stars
94
Licence
MIT
Runs on
Your computer
Setup
Moderate
Language
Python
Age
76 days

What you can do with it

  • Give a fresh AI coding session a bounded summary of a project's state, decisions and evidence
  • Explore a repository as a graph of files, symbols, imports, calls, tests and memories, and see what a change may affect
  • Prepare a reviewed handoff of a project to another person or AI agent

Make money with it

A freelance developer could finish client work faster by keeping project context between AI sessions, which allows more projects at once.

An idea, not financial advice. Check the licence before charging for anything built on it.

Ways a business could use it

  • A freelance developer can resume client projects after a break without spending time and paid AI tokens re-explaining the background
  • A small dev team can hand work between people or AI agents with a reviewed record of decisions and evidence

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Getting it running

It installs as a local command-line tool and a local MCP server (prebuilt binaries are published on the releases page), then connects to hosts such as Claude Code, Codex or Cursor; the README's "Ten-minute start" section covers the steps.

Follow the official instructions in the project README.

Things to check

  • Alpha release (v1.1.0-alpha.11); the author says it is not yet a broadly supported production platform
  • Context supplied to an AI host can reach that host's model provider
  • Source expansion currently covers Python only
  • Change impact does not check that the working tree is up to date and does not prove what will break

Who's talking about it

Checked 29 Oct 2026. Summary drafted by AI from the project's README.

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