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Local semantic memory for coding agents with Telegram bot and cron playbooks

memgrep is a local semantic memory system for coding agents that stores reusable playbooks in a SQLite + HNSW database with on-device embeddings. It includes a Telegram bot that drives a Cursor agent against a project folder, and supports cron-scheduled playbooks to avoid reinventing workflows. The tool solves the problem of LLMs rediscovering procedures and burning tokens on repetitive tasks.

1 engagement·1 source·Sat, Jul 11, 2026, 05:23 AM
Runs on the user's machine with memory store under `~/.memgrep` (SQLite + HNSW, embeddings via Transformers.js). Features: `memgrep telegram` for long-polling Telegram bot that controls a Cursor agent; cron'd playbooks for scheduled execution; MCP attachment for mid-task retrieval. Tech stack: Transformers.js for on-device embeddings, SQLite + HNSW for vector storage. Traction: 1 upvote on Reddit.

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Cursor(tool)MCP(concept)SQLite(tool)Transformers.js(tool)HNSW(tool)OpenClaw(tool)HNSW(concept)Telegram(tool)

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