Stats
Actions
Available In
Tags
Language: English | Português (Brasil) | 简体中文 | 繁體中文 | 日本語 | 한국어 | Türkçe
Everything Claude Code
140K+ stars | 21K+ forks | 170+ contributors | 12+ language ecosystems | Anthropic Hackathon Winner
The performance optimization system for AI agent harnesses. From an Anthropic hackathon winner.
Not just configs. A complete system: skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. Production-ready agents, skills, hooks, rules, MCP configurations, and legacy command shims evolved over 10+ months of intensive daily use building real products.
Works across Claude Code, Codex, Cursor, OpenCode, Gemini, and other AI agent harnesses.
The Guides
This repo is the raw code only. The guides explain everything.
|
|
|
| Shorthand Guide Setup, foundations, philosophy. Read this first. | Longform Guide Token optimization, memory persistence, evals, parallelization. | Security Guide Attack vectors, sandboxing, sanitization, CVEs, AgentShield. |
| Topic | What You'll Learn |
|---|---|
| Token Optimization | Model selection, system prompt slimming, background processes |
| Memory Persistence | Hooks that save/load context across sessions automatically |
| Continuous Learning | Auto-extract patterns from sessions into reusable skills |
| Verification Loops | Checkpoint vs continuous evals, grader types, pass@k metrics |
| Parallelization | Git worktrees, cascade method, when to scale instances |
| Subagent Orchestration | The context problem, iterative retrieval pattern |
What's New
v1.10.0 — Surface Refresh, Operator Workflows, and ECC 2.0 Alpha (Apr 2026)
- Public surface synced to the live repo — metadata, catalog counts, plugin manifests, and install-facing docs now match the actual OSS surface: 38 agents, 156 skills, and 72 legacy command shims.
