Deterministic prose checks for clearer coding-agent responses

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

Let AI agents message, watch, and spawn each other across terminals. Claude Code, Codex, Antigravity CLI, Cursor CLI, OpenCode, Kilo, Pi, Kimi

Open-source, local-first AI agent for coding and real work. BYOK models, MCP, skills, plugins, workflows, and private knowledge bases.

2026 年编程导航 AI 编程实战新项目，基于 React 19 + FastAPI + LangChain + LangGraph + Konva 的 AI 修图智能体，支持自然语言驱动修图、21 种编辑工具、文生图、智能抠图、图层拆分、区域编辑、多步计划。覆盖 AI Agent 架构、SSE 实时推送、异步任务队列、Canvas 画布引擎。用一套教程掌握 AI Agent 全栈开发，不到一周学完，给你的简历增加竞争力

The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.

Open-source AI video workbench. Bring any model or your local ComfyUI, and let Claude Code / Codex / Cursor direct it over MCP — storyboard, references, generation, editable first cut on a real timeline. Local-first: projects, prompts, and keys stay on your machine. No account, no telemetry.

L Harness — self-hosted LINE Official Account CRM: step messaging, broadcasts, forms and reservations, with MCP and TypeScript SDK. By Shudesu (野田修一).

Home Assistant LLM integration for local OpenAI-compatible services (llamacpp, vllm, etc)

Production-grade engineering skills for AI coding agents.

end to end app store screenshot creation using AI

Open source, self-hosted AI code review. Bring your own LLM.

Make your coding agent abide by all your project rules

♾️ TRANSFORMATIONAL META‑AGENTIC α‑AGI 👁️✨ — Mission 🎯 End‑to‑end: Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡ → Out-Evolve ♾️

Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)

👋 Hello Agent System — learn enterprise AI agent system design by building every production layer from scratch. 17 bilingual lessons (EN/中文) with tested exercises: tools, architectures, reliability, security, evals, distributed execution, cost, RAG, release ops. 企业级 Agent 系统设计训练营

Agent samples built using the Strands Agents SDK.

ICML 2026 | PALM@NeurIPS2026 Oral | Plug-and-play long-term memory for LLM agents

The Agent Economy Layer — agents earn, agents spend, Guard protects. 13 skills, runtime cost cap, recursive kill, tool firewall. 50+ HYRVE API endpoints, job polling daemon, MPP stablecoin. v1.7.0

Persistent Agent Workspace — AI agents that remember, collaborate, and never start from zero.