Token efficient Claude Code full Python rebuild. AI Coding Agent in 310K LoC Python.

Open-source control plane and runtime for organisational agents: shared company context & brain

Claude Code guide in three levels, Beginner to Advanced: hands-on lessons with checked exercises, every volatile fact cited to its source. Independent community guide.

Research-backed, eval-driven skills for AI agents

Open-source AI agent for B2B lead generation — describe your product, it finds the people who fit, explains why each one does, and emails them from your mailbox. Self-hosted CLI, one install.

A Utility CLI for AI Coding Agents

Govern, Observe, Direct - a real-time control room for agent societies

Minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT for coding agents. Formerly NanoCoder.

Open-source AI Employee Platform — Create AI employees that collaborate with your real team in WeCom, DingTalk, and Feishu, just like hiring a few more colleagues.

The missing open-source Kubernetes UI with a built-in MCP server for AI agents. See what's broken, why, and what changed. Issues, Topology, event timeline, Helm, GitOps, live service traffic, and cluster audits - all in one Go binary.

Open-source agent runtime — SSH-native isolation, eBPF egress policy, Kubernetes + LXC backends, GPU passthrough, MCP-native CLI

The memory & storage engine for AI agents. Multi-model, edge-to-cloud, PostgreSQL-compatible.

Skills to transform AI Agents into GitOps Engineers

微信公众号 AI 运营助手 | 选题、写稿、审稿、排版、配图、发布全流程 Skill，支持 OpenClaw / Claude Code / Cursor / Codex

Automate your mobile devices with natural language commands - an LLM agnostic mobile Agent 🤖

Local, LLM-free memory for AI agents. A single offline Rust binary — deterministic and auditable — that learns from use, forgets the irrelevant, and strengthens what matters. No cloud, no API keys.

开源的 AI 模拟面试系统：真人数字人面试官开口提问、按你的回答追问，报告逐题打分；另含 Docker 判题笔试与 AI 简历优化。Java 21 + Spring AI Alibaba + Vue 3。

Keeps your Claude session warm for you

AgentJev-0.6B - a fast 'System One' decision model for AI Agents: feed it any unstructured state (diffs, traces, logs) and structured questions, get calibrated probability distributions back in one ~50ms forward pass. Zero output-token decoding.

The open source multi-agent simulation from the Developer Keynote at Google Cloud Next '26. A deployable reference architecture for autonomous AI agents using Gemini and ADK.