47,133 repositories indexed
1–24 of 43 · Most stars
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click
Vane is an AI-powered answering engine.
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
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.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
The Cloud Native AI Platform
Agent S: the state-of-the-art open source computer use agents
TranslatedLangGPT: Empowering everyone to become a prompt expert! 🚀 📌 Proposer of Structured Prompt 📌 Initiator of Meta-Prompt 📌 The most popular paradigm for putting prompts into practice | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树 (Yunzhong Jiangshu, "river and trees amid the clouds")
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Agent harness for learning difficult things.
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
My AI learning system.
Build a system, load it until it breaks, and watch why. A system design simulator for learning distributed systems.
TranslatedYour AI study partner: plan the route, explain the knowledge, build projects, learn by doing, and master a subject thoroughly
TranslatedTurn PDFs, books and papers into interactive learning webpages | Turn complex materials into learning webpages that are traceable, quizzable, and support note-taking
TranslatedLearning notes and tooling skills for AI video
When Claude Code hits its usage limit, Codex picks the task up from the same memory. Sno Station puts Codex, Claude Code, Cursor, Hermes Agent and OpenClaw on one squad: they hand work to each other and review each other's code. Open source, runs on your computer.
Chamilo is a learning management system focused on ease of use and accessibility
Sno Station Skills: 31 tested skills that turn Claude Code and Codex into one working team. Cross-vendor peer review, automatic handoff when an agent hits its quota, a one-page morning brief, work orders with proof, and a nightly loop that learns from your own sessions. Open source, installed with one sno setup.