AI Agents

Component layer for AI agents: implementation-aware contracts for building project-native interface components.

Typed decisions with TypeSafe's Jev, the first System One model

Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.

Local-first Agent Runtime connecting LLMs to controlled tools, Chrome, desktop automation, MCP, context governance, and verifiable memory.

General-purpose agent in one static Go binary: console TUI, ACP server for editors, OpenAI-compatible API with embedded web UI, Telegram gateway, cron scheduler, swarm relay, remote mode. Rules, skills, subagents, hooks, MCP, background tasks, long-term memory, context compaction. Any OpenAI-compatible provider, distroless-ready.

Official codebase for Spotter: Let the Embodied Model Lead, and the VLM Reflect for It

Local-first engineering agent that deploys, benchmarks and tunes vLLM/SGLang inference services on your own GPUs, with auditable run evidence.

AI goes multiplayer. A self-hosted workspace for people and machine people. Create, code, and work together across desktop, mobile, and web. Open source. MIT licensed.

Iterative development methodology plugin for Claude Code — extracts requirements, defines walking skeleton, loops through audited sprints autonomously

Turns vibe coding into high quality code. Sets up rules and gates in your repo so AI-written code stays correct without you reviewing every line.

Command a fleet of AI agents, on every deck, every desk, every wrist. Self-hosted multi-agent platform with memory, a coding pipeline, Flows, a team kiosk and voice devices. Any LLM, or 100% local with Ollama.

Let your agents understand what's happening locally, in real time — every experience across a city, with times, prices, booking links and images

The BotBus protocol: how a menu bar app on your computer and the companion apps on your phone and watch stay in sync — with public fixtures. BotBus lets you follow, approve and start Codex and Claude Code tasks from anywhere: https://botbus.io/en

An open research workbench for idea discovery, autonomous mathematics, and evidence-grounded rebuttals.

AgentCall lets AI Agents join meetings with voice, video & screen-share to build together. Supports Google Meet, Teams, Zoom (Beta)

Offline Clash Royale AI agent research: native simulation, imitation learning, PPO, and interactive evaluation. 离线对局模拟、模仿学习、强化学习与交互评测。

Stop your coding agent from stalling real work on self-invented bookkeeping - receipts, hashes, locks, certification rituals. Ship first, then verify. Skill for Claude Code, Codex, and other agents.

Pass the baton from Claude Code or Codex to a local DeepSeek Harness. An MCP server that hands off tasks and brings the result back.

Updated weekly — until humanity achieves AI4AI. A survey-grounded catalog of 432 papers on long-horizon agents, benchmarks, harness design, and recursive self-improvement.

一个生产级的深度研究 Agent 系统，从零构建多智能体编排、Red-Blue 对抗降噪、 语义级上下文压缩、跨 Agent 共享记忆四大核心能力，配套 165 次独立实验 + Bootstrap 统计显著性检验的完整评测体系。

Personal AI agents.

3x more usage on your coding agent, same quality. Have an multi-agent setup in mind? Bello already supports it. Mix models, run agents in parallel, have them check each other’s work, and reduce unnecessary model calls and noisy tool output. Turn on only what you need.

Full-lifecycle wiring between Claude Code and the Clawd on Desk pet — all 15 hook events, with permission prompts answered straight from the desktop

A repository that ships its own code. AI workflows triage issues, implement them, review, and auto-merge with no human reading the diff. Runs on Archon. The app it maintains is a cited RAG chat over YouTube transcripts, live at chat.dynamous.ai.

A Python framework for modular, self-contained skill management for machines.

Open-source Robinhood trading agent infrastructure with MCP-powered DEX research, autonomous trading, agent wallets, and copy-trading capabilities

An open standard for AI registries

Autonomous background coding agents on AWS. Turn tasks into pull requests via isolated runtimes, with built-in orchestration, observability, and governance.

Self-hosted AI customer-support platform — per-KB RAG on Qdrant, 13 LLM providers, SSE streaming, embeddable chat widget. FastAPI + Vite + SQLite, all in Docker Compose.

Conversational & memory-enabled AI research partner for multi-omics analysis. CLI + Desktop App (installers in Releases). From biological idea to full research paper.

Turn any file into a beautiful, interactive, shareable HTML — WhatsApp logs, PDFs, transcripts, code, anything.

Private messaging for your AI agents. Free to self-host on Cloudflare. Direct chats, groups and a durable inbox.

An AI red-team agent for authorized labs and web app pentesting workflows. Turns Claude Code / OpenCode / Codex into a structured recon → test → exploit → report workflow, with containerized tools and resumable state.

A local-first multi-agent app development platform, built on PenguinHarness

Multi-model council for DeepSeek Harness: independent answers, anonymous peer reviews, and an inspectable final decision.

A kanban board for coordinating multiple AI coding agents, with isolated git worktrees and independent reviewer agents.

A visual sidebar for Claude Code and Codex: agent trees, live status, and conversation task flows.

Autonomous AI agent team for one-man companies. Context engineering + harness engineering drive a pipeline that brainstorms, builds, reviews, and ships.

Autonomous AI agent that plays Minecraft on its own — a server-side Fabric mod (MC 1.21.3) where a DeepSeek / OpenAI-compatible LLM drives a real player to mine, build, farm, fight and survive from natural-language commands. LLM plans, deterministic tasks execute — no Python harness, no bot account.

An open standard for capturing the WHY in git history

Asamana is an AI-driven emergent narrative engine.

Ultra-Lightweight, Pure Python Multimodal Agent.

Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.

One IDE for you and your AI team. A VS Code fork where Claude Code, Codex, Antigravity, and Muse Code work in parallel across multiple projects and features.

OpenAI Codex 源码深度研究 (Rust + TS + Python)：2 总纲 + 25 章 + 3 附录, ~51 万字 + 149 张 Mermaid 架构图

A persistent, reviewed multi-agent runtime for long-horizon research and engineering.

Smart Promise Tracker AI 2026 – Commit Memory Engine

Mission control for AI coding agents. Watch Claude Code, Codex, Gemini and a dozen more work live in one macOS terminal: live status, an editor that follows their edits, undo for any turn, approvals from your phone and local models. 20+ built-in tools, all on the site below. Built on Ghostty.

NEWTON: Agentic Planning for Physically Grounded Video Generation

Run language-model agents in Minecraft with Mineflayer tools, persistent sessions and shell sandboxes.