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A persistent workspace for development work that self-improves and continues beyond one session.

Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.

The World's First Virtual Terminal for AI Agents

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

Evaluation and Tracking for LLM Experiments and AI Agents

Open-source sandboxed agent harness for teams. Giving every employee a secured personal agent.

Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.

Agent Orchestration Command Center

Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

Intercept and inspect Coding Agent API traffic from Claude Code, Codex CLI, Gemini CLI, Cursor CLI, OpenCode, Kimi/Kimi Code, Pi, and Hermes in a local trace viewer.

One governed graph for AI agents — GraphQL + MCP over your databases, files, APIs, and code

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration

🤖 Type-safe, provider-agnostic TypeScript AI SDK for streaming chat, tool calling, agents, and multimodal apps across OpenAI, Anthropic, Gemini, React, Vue, Svelte, and Solid.

📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev

PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.

Your Cheat Sheet for AI Engineering Interview – Questions and Answers.

README file generator, powered by AI.

Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

Dotted thought-orb loading indicators for AI & agent UIs, 9 tuned types, two sizes, auto dark/light

Sandbox any AI agent in seconds - zero setup, zero latency.

VibeSkills is a general-purpose Skill that automatically routes local Skills and intelligently orchestrates harness workflows.

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

NOF0 - 开源的 AI 交易竞技场

Open-source multi-agent collaboration system inspired by Chinese governance — deploy and coordinate specialized AI agents with OpenClaw.