A collection of portable agent skills that scrape ML/AI jobs, score them against your profile, and auto-fill Greenhouse applications.
The unified workspace where open-source models get things done for you.
Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
A repository for skills that are essential to my daily work
💎 LaPis — Local AI memory for coding agents. Persistent SQLite memory for Pi, Claude Code, Hermes & MCP.
🐬DeepChat - A smart assistant that connects powerful AI to your personal world

Convert AI coding agent sessions (Claude Code, Cursor, Codex, Gemini, OpenCode, Kimi Code, Hermes) into self-contained, embeddable HTML replays
Open bridge layer connecting local AI Agent CLIs to web, H5, mini programs, apps, IM, and custom clients.
11 installable editorial systems for AI agents, based on leading public style guides.
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding
Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.

Durable MCP control plane for long-running Codex Desktop tasks
Where people and agents build in tune.
A fully functional AI Agent desktop client that supports Webui access and can be creatively customized and expanded!
Open Source A2A Protocol Adapter SDK for Different Agent Frameworks and Harnesses
BootAgent is a local management tool of AI agents. It turns a fresh machine into a usable, repeatable setup without asking you to edit several tool-specific config files by hand.
The full featured self-hosted Codex gateway, for teams, agents and you
On-screen aware AI assistant for your desktop. Uses current app context, multiple LLMs, and MCP tools to help you act across apps.
Cognitive training practices for AI agents. Self-applied. Open source. Built by an independent Vancouver yoga studio.
Agent Skill for complex work: research before asking, ask before planning, plan before building, verify before delivering, independent review before calling it done. Plain text, no runtime.
Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-first methods, powered by TypeScript and Bun.

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org