Kote
Kote is a developer memory layer that automatically captures AI conversations, Git history, and development context into searchable knowledge. It runs in the background to surface relevant past decisions when developers need them.
Ficha actualizada 23 sept 2026, 18:11 · upstream 23 sept 2026, 17:46 · release v1.0.0
Qué es Kote
Descripción editorial construida a partir del repositorio, su documentación y sus señales de mantenimiento.
Kote serves as an intelligent developer memory engine that continuously ingests and indexes developer interactions across multiple channels — including local AI sessions (Antigravity, Codex, Claude Code), Git commit history, chat logs, and quick notes. By preserving context around code changes, decisions made during development, and team discussions, Kote enables developers to retrieve relevant historical information without manual searching or documentation maintenance. The architecture separates memory from agent prompting, keeping context isolated while making it accessible through natural language queries in the IDE, CLI, WhatsApp, Telegram, or web interface.
- Retrieve why a piece of code exists by querying its commit history and associated AI decisions
- Understand team discussions behind design decisions without searching documentation
- Find context for troubleshooting when encountering unfamiliar error patterns
- Access past architectural choices during refactoring or feature development
- Search across multiple channels (chat, Git, notes) to find relevant historical context
- Runs entirely in the background with zero impact on developer workflow
- Supports multi-ecosystem dependency monitoring (npm, pip, composer, Maven, Cargo)
- Provides interactive code lineage through Kote Code Lineage feature
- Offers semantic search across notes and decisions via natural language queries
- Integrates with MCP protocol for seamless access to AI assistants like Cursor and Claude Desktop
- Supports audio note transcription and image capture of whiteboard diagrams
- Context retrieval is not guaranteed — it depends on the amount of relevant history indexed, which can be sparse in large projects
- Performance may degrade with very large repositories or extensive commit histories due to indexing overhead
- The web interface requires a Supabase backend and cannot run standalone without infrastructure setup
- Local AI session sync works but does not persist across sessions unless explicitly saved via the extension
- No built-in version control for notes — if a note is deleted, it may be lost from memory
Capturas del proyecto
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Run Kote on Docker Compose with Node.js 20+ and Supabase Storage bucket for web interface access,VS Code extension requires local API configuration in ~/.config/kb/config.json before use,For CI/CD, add GitHub Actions workflow to trigger diff analysis and PR context AI summarization,Consider using Docker Compose with environment variables for production deployment of the CLI,Enable dependency watcher via cron job or systemd service for automated security updates,Monitor disk usage — Kote indexes Git history which can grow large over time
Stack y dependencias
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