Mine AI chat logs into a local you.md agent profile
Ditto mines your Claude Code, Codex, and Cursor chat logs to build a local you.md profile that captures your thinking patterns, preferences, and definition of done. It solves the problem of AI agents lacking context about your work style by creating a persistent, honest record of how you actually work.
Visit project ↗Entities
Related
Ditto: mine your own LLM coding sessions into a file for your agent
Ditto extracts only the user's typed messages from local Claude Code and Codex session logs, stripping tool output and assistant replies, and compiles them into a file that an AI agent can read first. It solves the problem of losing personal work patterns and context across many coding sessions, giving the agent a honest record of how the user actually works.
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.
odek: AI agent with long-term semantic memory across sessions
odek is an AI agent that maintains a structured, semantic long-term memory across sessions, remembering user preferences, codebases, and goals without requiring re-explanation. It uses LLMs to process and store information in a three-tier memory system, solving the problem of session-only memory for users who need continuity in their interactions.
Euclis: shared project memory that captures decisions and blockers from chat and AI tools
Euclis is a free tool that automatically captures decisions, blockers, milestones, and insights from WhatsApp, Claude, Cursor, and the web, turning scattered chat into structured project memory. It helps teams and AI agents avoid starting from zero by providing persistent context. The tool uses LLMs to extract and organize information from conversations.
Chinvat: local MCP labor hub for governed multi-model task delegation
Chinvat is a free, open-source local MCP labor hub for Windows that allows any MCP-capable coordinator (e.g., Claude Code, Claude Desktop, Codex, Cursor, Hermes) to delegate work to local models, remote specialist models, Windows itself, and communication/publishing channels. It provides a persistent job queue, artifacts, and a policy layer that governs what crosses the bridge, solving the problem of managing multiple AI models and tools from a single governed interface.