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.
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Maker
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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.
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Maker
Rta-Smriti Brain has reached v1.0.4-alpha. The project now goes beyond searchable repository memory: it reconciles repository evidence, durable decisions, checkpoints, session continuity, and provenance into an inspectable local Project Reality view.
The next test is operator activation. If you use an AI coding agent across a long-lived project, try one non-sensitive project and tell me whether you reached a useful context pack or where setup failed.
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.
Rta-Smriti Brain has reached v1.0.4-alpha. The project now goes beyond searchable repository memory: it reconciles repository evidence, durable decisions, checkpoints, session continuity, and provenance into an inspectable local Project Reality view.
The next test is operator activation. If you use an AI coding agent across a long-lived project, try one non-sensitive project and tell me whether you reached a useful context pack or where setup failed.
Release: https://github.com/sulabhdubey/r...
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.
Release: https://github.com/sulabhdubey/rta-smriti-brain/releases/tag/v0.4.0-alpha