sulabhdubey/rta-smriti-brain

Open-source, Git-native memory for AI coding agents — deterministic local recall for Claude Code, Codex, Cursor, Gemini CLI, and compatible tools.

Persistent, searchable engineering memory for AI coding agents. Saves ~50% tokens and ~30% time while planning

Memory Engine is a local-first MCP server that gives coding agents persistent, evidence-backed project memory. It automatically builds a project knowledge base, retrieves relevant architecture, constraints, incidents, and source context before complex tasks, and retains verified lessons after successful work.

Durable, repository-local memory for coding agents, stored as Git-mergeable JSON and indexed by SQLite for fast search.

Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server.

The memory layer for AI-native development - giving AI persistent understanding of your software projects.

Your coding agent starts every session blank. Rekal is the memory your team is missing

Persistent memory for AI coding agents. Local-first, cross-session context, global knowledge, and optional autonomous task execution.

Open-source coding agents memory. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Antigravity and Codex. 100% local, no cloud, no telemetry. MIT.