Local-first memory tracker for Claude Code & Codex. Track, organize, and make sense of your AI coding sessions. All data stays on your machine.
Download the latest .dmg from GitHub Releases · Requires macOS 12+
Automatically scan and import sessions from Claude Code (~/.claude) and Codex (~/.codex). Incremental scanning keeps your library up to date.
Group sessions by working directory, review project health, and generate AI-powered project summaries.
Organize sessions into tasks with statuses: Discussing, Developing, Done. Track progress across your AI coding workflow.
Cascading memory system: Session memory, Project memory, System memory. Entity-relationship graph connects insights across levels.
Analyze sessions and projects using your own API keys. Supports OpenAI, Anthropic, DeepSeek, Ollama, and more.
All data stored in ~/.kittynest. SQLite index, Markdown files. Nothing leaves your machine unless you explicitly configure an LLM provider.
Sessions and metadata indexed in a local SQLite database for fast search and filtering.
Project summaries, task details, and session memories stored as readable Markdown files.
Entity-relationship graph (CozoDB/SQLite) connects memories across sessions and projects.
Simple TOML configuration for LLM providers. No cloud accounts, no sign-ups.