Personal memory across agents
Educational package-manager project for AI agent skills. Not actively maintained.
Save tokens. Maximize context, Safely

Analyze your Claude Code context window, detect wasted tokens, and get pasteable fix commands. Zero API calls
Bring Agent Skills to Any AI Agent and Coding Agent — via CLI or MCP. Manage once, serve anywhere.
Lightweight agent orchestration dev tool that lives in your repo
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
See how you really use AI — X-ray your AI coding sessions locally

Local, read-only audit for stale AGENTS.md, CLAUDE.md, and generic SKILL.md instructions.
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
Compiles AI agent traces and truns them into reusable context.
The control plane for AI coding agents.
Automatically create new skills based on past agent traces
Git-native memory for coding agents. Repo memory before the diff.
Finds the claims in your CLAUDE.md / AGENTS.md / skills that your code no longer supports. Zero-config, no API key.
flow + prompt = flompt - Visual AI Prompt Builder. Decompose, edit as flowchart, recompile into optimized machine-readable prompts
AI Badger - Local-first tool that extracts focused repo context for any AI chat (Claude, ChatGPT, Grok, etc.) without wasting tokens on irrelevant files.
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
AI-writing humanizer for KO/EN/ZH/JA
Mine your Claude Code and Codex logs into a local you.md agent profile.
Audit and shrink your Claude Code startup context. Measures what every skill, plugin, agent, and memory file costs in the system prompt, then reversibly disables the dead weight. No proxy, no compression.
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
A lightweight, zero-dependency CLI tool to manage and activate capabilities for AI coding assistants (such as Claude Code, Cursor, Trae, etc.).

Portable project memory across Claude Code, Codex and OpenCode, plus token accounting measured from harness transcripts. Local file I/O, no API calls, no telemetry.