This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Rta-Smriti Brain
Stop re-explaining your project to every new AI chat.
Rta-Smriti gives every software project a private local brain. It indexes repo structure, remembers decisions and handoffs, labels evidence, and builds focused context packs for Codex, Claude Code, Cursor, or any agent. Local, open source, no telemetry.
AI coding agents are getting stronger, but the project memory around them still disappears when a chat gets long, a session ends, or you switch tools.
I built Rta-Smriti Brain to move that memory out of the chat and into the project. It combines repository structure, durable decisions, long-session handoffs, and task-specific context packs in a local SQLite brain. The operator console lets you inspect the graph, browse indexed files, review memories, check freshness, and prepare context for any agent.
The unusual part is the Pramana evidence model. An observed test result, a trusted human instruction, an inference, a prior memory, and a hypothesis remain different kinds of knowledge instead of becoming one undifferentiated memory blob.
This is an alpha developer release. It is open source, local-first, and already tested across six project brains, including a 26,482-file repository. I would especially value feedback on onboarding, retrieval quality, and integrations with your preferred coding agent.
Small launch-day update: v0.4.0-alpha is now live as a verified cross-platform release.
The fastest path is now one command: point Rta-Smriti at a repository, and it creates the brain, indexes the project, starts incremental sync, and opens the local operator console. The release also adds structured continuation checkpoints, provenance, hybrid retrieval, Tree-sitter/LSP adapters, retrieval diagnostics, and an evidence-aware Action Gate.
I would value one hard test more than generic praise: try it on a non-sensitive repository and tell me exactly where onboarding, retrieval, or the dashboard becomes confusing.
“Stop re-explaining your project to every new AI chat.”
Rta-Smriti Brain was submitted on Product Hunt and earned 1 upvotes and 2 comments, placing #81 on the daily leaderboard. Rta-Smriti gives every software project a private local brain. It indexes repo structure, remembers decisions and handoffs, labels evidence, and builds focused context packs for Codex, Claude Code, Cursor, or any agent. Local, open source, no telemetry.
Rta-Smriti Brain was featured in Open Source (68.7k followers), Developer Tools (517.6k followers), Artificial Intelligence (476.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 235.4k products, making this a competitive space to launch in.
Who hunted Rta-Smriti Brain?
Rta-Smriti Brain was hunted by Sulabh Dubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Sulabh Dubey