{"id":140343,"url":"https://github.com/l-aime/awesome-agents","name":"awesome-agents","description":"A curated collection of cutting-edge AI agent projects, frameworks, and research papers. This repository aims to catalog innovative implementations, architectural patterns, and emerging best practices in agent-based systems—from autonomous LLM-powered agents to multi-agent collaboration frameworks.","projects_count":123,"last_synced_at":"2026-10-09T23:00:22.097Z","repository":{"id":309572054,"uuid":"1036741299","full_name":"l-aime/awesome-agents","owner":"l-aime","description":"A curated collection of cutting-edge AI agent projects, frameworks, and research papers. This repository aims to catalog innovative implementations, architectural patterns, and emerging best practices in agent-based systems—from autonomous LLM-powered agents to multi-agent collaboration frameworks.","archived":false,"fork":false,"pushed_at":"2025-08-15T01:39:58.000Z","size":38,"stargazers_count":13,"open_issues_count":9,"forks_count":8,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-09-20T06:08:28.000Z","etag":null,"topics":["agent","ai","python"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/l-aime.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-08-12T14:13:13.000Z","updated_at":"2026-08-24T22:05:41.000Z","dependencies_parsed_at":"2025-08-16T04:46:07.312Z","dependency_job_id":null,"html_url":"https://github.com/l-aime/awesome-agents","commit_stats":null,"previous_names":["l-aime/awesome-agents"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/l-aime/awesome-agents","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/l-aime%2Fawesome-agents","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/l-aime%2Fawesome-agents/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/l-aime%2Fawesome-agents/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/l-aime%2Fawesome-agents/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/l-aime","download_url":"https://codeload.github.com/l-aime/awesome-agents/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/l-aime%2Fawesome-agents/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":343680568,"owners_count":38152219,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-10-03T21:59:58.778Z","status":"online","status_checked_at":"2026-10-09T02:00:07.585Z","response_time":55,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2026-08-31T10:00:42.631Z","updated_at":"2026-10-09T23:00:22.097Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["🤖 Agent Projects","🎯 Use Cases","📚 Research Papers","📖 Learning Resources","🔍 Evaluation \u0026 Benchmarks"],"sub_categories":["💼 Business \u0026 Productivity Agents","Content Creation","Business Operations","🧠 AI Assistant \u0026 Chat Agents","Foundational Papers","Multi-Agent Research","Books","Software Development","Online Courses","Blogs \u0026 Newsletters","Benchmark Datasets","Research \u0026 Analysis","Awesome Lists","🔬 Research \u0026 Analysis Agents","📊 Monitoring \u0026 Automation Agents","🖥️ Software Development Agents","🔧 Development Frameworks \u0026 Tools","🎨 Content Creation Agents","🤖 Multi-Agent Collaboration","💰 Financial Trading Agents","🌐 Browser Automation \u0026 Web Agents","🔧 System Prompts \u0026 Models"],"readme":"# Awesome Agents\n\nA curated collection of cutting-edge AI agent projects, frameworks, and research papers. This repository aims to catalog innovative implementations, architectural patterns, and emerging best practices in agent-based systems—from autonomous LLM-powered agents to multi-agent collaboration frameworks.\n\n## 📋 Table of Contents\n\n- [🤖 Agent Projects](#-agent-projects)\n  - [🖥️ Software Development Agents](#️-software-development-agents)\n  - [🔬 Research \u0026 Analysis Agents](#-research--analysis-agents)\n  - [🎨 Content Creation Agents](#-content-creation-agents)\n  - [🤖 Multi-Agent Collaboration](#-multi-agent-collaboration)\n  - [💼 Business \u0026 Productivity Agents](#-business--productivity-agents)\n  - [🧠 AI Assistant \u0026 Chat Agents](#-ai-assistant--chat-agents)\n  - [🌐 Browser Automation \u0026 Web Agents](#-browser-automation--web-agents)\n  - [💰 Financial Trading Agents](#-financial-trading-agents)\n  - [🔧 System Prompts \u0026 Models](#-system-prompts--models)\n  - [📊 Monitoring \u0026 Automation Agents](#-monitoring--automation-agents)\n  - [🔧 Development Frameworks \u0026 Tools](#-development-frameworks--tools)\n- [🔧 Frameworks \u0026 Tools](#-frameworks--tools)\n- [📚 Research Papers](#-research-papers)\n- [🎯 Use Cases](#-use-cases)\n- [📖 Learning Resources](#-learning-resources)\n- [🚀 Architecture Patterns](#-architecture-patterns)\n- [🔍 Evaluation \u0026 Benchmarks](#-evaluation--benchmarks)\n\n## 🤖 Agent Projects\n\n### 🖥️ Software Development Agents\n\n| Project | Description | Language | Stars | Last Updated |\n|---------|-------------|----------|-------|--------------|\n| [OpenDevin](https://github.com/OpenDevin/OpenDevin) | An open-source alternative to Devin | Python | 10k+ | 2024 |\n| [OpenHands](https://github.com/All-Hands-AI/OpenHands) | 🙌 OpenHands: Code Less, Make More | Python | 62k+ | 2024 |\n| [MetaGPT](https://github.com/FoundationAgents/MetaGPT) | 🌟 The Multi-Agent Framework: First AI Software Company | Python | 57k+ | 2024 |\n| [Sweep](https://github.com/sweepai/sweep) | AI-powered junior developer for small features and bug fixes | Python | 15k+ | 2024 |\n| [GPT Engineer](https://github.com/AntonOsika/gpt-engineer) | Specify what you want it to build, the AI asks for clarification, and then builds it | Python | 40k+ | 2024 |\n| [MetaGPT](https://github.com/geekan/MetaGPT) | The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo | Python | 40k+ | 2024 |\n| [ChatDev](https://github.com/OpenBMB/ChatDev) | Communicative Agents for Software Development | Python | 15k+ | 2024 |\n| [Cline](https://github.com/cline/cline) | Autonomous coding agent right in your IDE | TypeScript | 49k+ | 2024 |\n| [Warp](https://github.com/warpdotdev/Warp) | Warp is the agentic development environment, built for coding with multiple AI agents | - | 24k+ | 2024 |\n| [Goose](https://github.com/block/goose) | Open source, extensible AI agent that goes beyond code suggestions | Rust | 18k+ | 2024 |\n| [Codex](https://github.com/openai/codex) | Lightweight coding agent that runs in your terminal | Rust | 34k+ | 2024 |\n| [CodeT5+](https://github.com/salesforce/CodeT5) | Code-aware language models for code understanding and generation | Python | 5k+ | 2024 |\n| [CodeGeeX](https://github.com/THUDM/CodeGeeX) | A large-scale multilingual code generation model | Python | 3k+ | 2024 |\n\n### 🔬 Research \u0026 Analysis Agents\n\n| Project | Description | Language | Stars | Last Updated |\n|---------|-------------|----------|-------|--------------|\n| [GPT Researcher](https://github.com/assafelovic/gpt-researcher) | GPT based autonomous researcher that helps in researching various topics | Python | 8k+ | 2024 |\n| [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT) | An experimental open-source attempt to make GPT-4 fully autonomous | Python | 150k+ | 2024 |\n| [BabyAGI](https://github.com/yoheinakajima/babyagi) | An AI-powered task management system | Python | 20k+ | 2024 |\n| [Vanna](https://github.com/vanna-ai/vanna) | 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄 | Python | 19k+ | 2024 |\n| [LangChain](https://github.com/langchain-ai/langchain) | Framework for developing applications with LLMs | Python/JS | 70k+ | 2024 |\n| [LlamaIndex](https://github.com/run-llama/llama_index) | Data framework for LLM applications | Python | 25k+ | 2024 |\n\n### 🎨 Content Creation Agents\n\n| Project | Description | Language | Stars | Last Updated |\n|---------|-------------|----------|-------|--------------|\n| [AutoGen](https://github.com/microsoft/autogen) | Enable next-gen LLM applications via multi-agent conversations | Python | 25k+ | 2024 |\n| [AgentGPT](https://github.com/reworkd/AgentGPT) | 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser | TypeScript | 34k+ | 2024 |\n| [SuperAGI](https://github.com/TransformerOptimus/SuperAGI) | A dev-first open source autonomous AI agent framework | Python | 15k+ | 2024 |\n| [Flowise](https://github.com/FlowiseAI/Flowise) | Drag \u0026 drop UI to build your customized LLM flow | TypeScript | 15k+ | 2024 |\n| [Langflow](https://github.com/logspace-ai/langflow) | UI for LangChain, designed with react-flow | Python | 15k+ | 2024 |\n| [ChatTTS](https://github.com/2noise/ChatTTS) | A generative speech model for daily dialogue | Python | 37k+ | 2024 |\n\n### 🤖 Multi-Agent Collaboration\n\n| Project | Description | Language | Stars | Last Updated |\n|---------|-------------|----------|-------|--------------|\n| [CrewAI](https://github.com/joaomdmoura/crewAI) | Framework for orchestrating role-playing autonomous AI agents | Python | 20k+ | 2024 |\n| [AgentVerse](https://github.com/OpenBMB/AgentVerse) | A Framework for Multi-Agent Collaboration | Python | 5k+ | 2024 |\n| [CAMEL](https://github.com/camel-ai/camel) | Communicative Agents for Mind Exploration | Python | 8k+ | 2024 |\n| [LangGraph](https://github.com/langchain-ai/langgraph) | Build stateful, multi-actor applications with LLMs | Python | 15k+ | 2024 |\n| [AutoGen](https://github.com/microsoft/autogen) | A programming framework for agentic AI | Python | 48k+ | 2024 |\n| [CrewAI Inc](https://github.com/crewAIInc/crewAI) | Framework for orchestrating role-playing, autonomous AI agents | Python | 35k+ | 2024 |\n| [Agno](https://github.com/agno-agi/agno) | Full-stack framework for building Multi-Agent Systems with memory, knowledge and reasoning | Python | 31k+ | 2024 |\n| [SmolAgents](https://github.com/huggingface/smolagents) | 🤗 smolagents: a barebones library for agents that think in code | Python | 22k+ | 2024 |\n| [Swarm](https://github.com/openai/swarm) | Educational framework exploring ergonomic, lightweight multi-agent orchestration | Python | 20k+ | 2024 |\n\n### 💼 Business \u0026 Productivity Agents\n\n| Project | Description | Language | Stars | Last Updated |\n|---------|-------------|----------|-------|--------------|\n| [n8n](https://github.com/n8n-io/n8n) | Workflow automation tool | TypeScript | 40k+ | 2024 |\n| [Zapier](https://zapier.com/) | Connect your apps and automate workflows | - | - | 2024 |\n| [Make](https://www.make.com/) | Visual platform for building powerful workflows | - | - | 2024 |\n| [Semantic Kernel](https://github.com/microsoft/semantic-kernel) | Integrate cutting-edge LLM technology quickly and easily into your apps | C#/Python | 15k+ | 2024 |\n| [Composio](https://github.com/ComposioHQ/composio) | Composio equips your AI agents \u0026 LLMs with 100+ high-quality integrations via function calling | TypeScript | 25k+ | 2024 |\n| [AIHawk](https://github.com/feder-cr/Jobs_Applier_AI_Agent_AIHawk) | AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way | Python | 28k+ | 2024 |\n\n### 🧠 AI Assistant \u0026 Chat Agents\n\n| Project | Description | Language | Stars | Last Updated |\n|---------|-------------|----------|-------|--------------|\n| [Claude](https://claude.ai/) | AI assistant by Anthropic | - | - | 2024 |\n| [ChatGPT](https://chat.openai.com/) | AI assistant by OpenAI | - | - | 2024 |\n| [Bard](https://bard.google.com/) | AI assistant by Google | - | - | 2024 |\n| [Perplexity](https://www.perplexity.ai/) | AI-powered search and research assistant | - | - | 2024 |\n| [Dify](https://github.com/langgenius/dify) | Production-ready platform for agentic workflow development | TypeScript | 110k+ | 2024 |\n| [Lobe Chat](https://github.com/lobehub/lobe-chat) | 🤯 Lobe Chat - an open-source, modern design AI chat framework | TypeScript | 64k+ | 2024 |\n| [Gemini CLI](https://github.com/google-gemini/gemini-cli) | An open-source AI agent that brings the power of Gemini directly into your terminal | TypeScript | 68k+ | 2024 |\n| [Cherry Studio](https://github.com/CherryHQ/cherry-studio) | 🍒 Cherry Studio is a desktop client that supports for multiple LLM providers | TypeScript | 31k+ | 2024 |\n| [Anything LLM](https://github.com/Mintplex-Labs/anything-llm) | The all-in-one Desktop \u0026 Docker AI application with built-in RAG, AI agents, No-code agent builder | JavaScript | 47k+ | 2024 |\n| [Suna](https://github.com/kortix-ai/suna) | Suna - Open Source Generalist AI Agent | TypeScript | 17k+ | 2024 |\n| [LibreChat](https://github.com/danny-avila/LibreChat) | Enhanced ChatGPT Clone with Agents, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting | TypeScript | 28k+ | 2024 |\n\n### 🌐 Browser Automation \u0026 Web Agents\n\n| Project | Description | Language | Stars | Last Updated |\n|---------|-------------|----------|-------|--------------|\n| [Browser-Use](https://github.com/browser-use/browser-use) | 🌐 Make websites accessible for AI agents. Automate tasks online with ease | Python | 67k+ | 2024 |\n| [AgenticSeek](https://github.com/Fosowl/agenticSeek) | Fully Local Manus AI. No APIs, No $200 monthly bills | Python | 20k+ | 2024 |\n\n### 💰 Financial Trading Agents\n\n| Project | Description | Language | Stars | Last Updated |\n|---------|-------------|----------|-------|--------------|\n| [TradingAgents](https://github.com/TauricResearch/TradingAgents) | TradingAgents: Multi-Agents LLM Financial Trading Framework | Python | 18k+ | 2024 |\n| [OpenBB](https://github.com/OpenBB-finance/OpenBB) | Financial data aggregator for humans and AI agents | Python | 49k+ | 2024 |\n| [Qlib](https://github.com/microsoft/qlib) | Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions | Python | 28k+ | 2024 |\n\n### 🔧 System Prompts \u0026 Models\n\n| Project | Description | Language | Stars | Last Updated |\n|---------|-------------|----------|-------|--------------|\n| [System Prompts and Models](https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools) | FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser, Xcode, Trae AI, Cluely \u0026 Orchids.app System Prompts, Tools \u0026 AI Models | - | 75k+ | 2024 |\n\n### 📊 Monitoring \u0026 Automation Agents\n\n| Project | Description | Language | Stars | Last Updated |\n|---------|-------------|----------|-------|--------------|\n| [Huginn](https://github.com/huginn/huginn) | Create agents that monitor and act on your behalf. Your agents are standing by! | Ruby | 47k+ | 2024 |\n| [Arthas](https://github.com/alibaba/arthas) | Alibaba Java Diagnostic Tool Arthas | Java | 36k+ | 2024 |\n| [OmniParser](https://github.com/microsoft/OmniParser) | A simple screen parsing tool towards pure vision based GUI agent | Jupyter Notebook | 23k+ | 2024 |\n\n### 🔧 Development Frameworks \u0026 Tools\n\n| Project | Description | Language | Stars | Last Updated |\n|---------|-------------|----------|-------|--------------|\n| [Langflow](https://github.com/langflow-ai/langflow) | Langflow is a powerful tool for building and deploying AI-powered agents and workflows | Python | 98k+ | 2024 |\n| [RAGFlow](https://github.com/infiniflow/ragflow) | RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding | TypeScript | 62k+ | 2024 |\n| [Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) | Langchain-Chatchat based on Langchain with ChatGLM, Qwen and Llama RAG and Agent app | TypeScript | 35k+ | 2024 |\n| [FastGPT](https://github.com/labring/FastGPT) | FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration | TypeScript | 25k+ | 2024 |\n| [Haystack](https://github.com/deepset-ai/haystack) | LLM framework for building production-ready applications | Python | 10k+ | 2024 |\n| [AutoGen Studio](https://github.com/microsoft/autogen) | Visual interface for AutoGen | Python | 25k+ | 2024 |\n| [LangSmith](https://github.com/langchain-ai/langsmith) | Platform for debugging, testing, evaluating, and monitoring LLM applications | Python | 5k+ | 2024 |\n| [Unsloth](https://github.com/unslothai/unsloth) | Fine-tuning \u0026 Reinforcement Learning for LLMs. Train OpenAI gpt-oss, Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM | Python | 43k+ | 2024 |\n\n## 🔧 Frameworks \u0026 Tools\n\n### Development Frameworks\n\n| Framework | Description | Language | Stars | Last Updated |\n|-----------|-------------|----------|-------|--------------|\n| [LangChain](https://github.com/langchain-ai/langchain) | Framework for developing applications with LLMs | Python/JS | 70k+ | 2024 |\n| [LlamaIndex](https://github.com/run-llama/llama_index) | Data framework for LLM applications | Python | 25k+ | 2024 |\n| [Semantic Kernel](https://github.com/microsoft/semantic-kernel) | Integrate cutting-edge LLM technology quickly and easily into your apps | C#/Python | 15k+ | 2024 |\n| [Haystack](https://github.com/deepset-ai/haystack) | LLM framework for building production-ready applications | Python | 10k+ | 2024 |\n| [Flowise](https://github.com/FlowiseAI/Flowise) | Drag \u0026 drop UI to build your customized LLM flow | TypeScript | 15k+ | 2024 |\n\n### Agent Orchestration\n\n| Tool | Description | Language | Stars | Last Updated |\n|------|-------------|----------|-------|--------------|\n| [Langflow](https://github.com/logspace-ai/langflow) | UI for LangChain, designed with react-flow | Python | 15k+ | 2024 |\n| [n8n](https://github.com/n8n-io/n8n) | Workflow automation tool | TypeScript | 40k+ | 2024 |\n| [Zapier](https://zapier.com/) | Connect your apps and automate workflows | - | - | 2024 |\n| [Make](https://www.make.com/) | Visual platform for building powerful workflows | - | - | 2024 |\n\n## 📚 Research Papers\n\n### Foundational Papers\n\n- **[\"ReAct: Synergizing Reasoning and Acting in Language Models\"](https://arxiv.org/abs/2210.03629)** - Yao et al., 2022\n- **[\"Toolformer: Language Models Can Teach Themselves to Use Tools\"](https://arxiv.org/abs/2302.04761)** - Schick et al., 2023\n- **[\"Reflexion: Language Agents with Verbal Reinforcement Learning\"](https://arxiv.org/abs/2303.11366)** - Shinn et al., 2023\n- **[\"Self-Consistency Improves Chain of Thought Reasoning in Language Models\"](https://arxiv.org/abs/2203.11171)** - Wang et al., 2022\n- **[\"Tree of Thoughts: Deliberate Problem Solving with Large Language Models\"](https://arxiv.org/abs/2305.10601)** - Yao et al., 2023\n\n### Multi-Agent Research\n\n- **[\"MetaGPT: Meta Programming for Multi-Agent Collaborative Framework\"](https://arxiv.org/abs/2308.00352)** - Hong et al., 2023\n- **[\"ChatDev: Communicative Agents for Software Development\"](https://arxiv.org/abs/2307.07924)** - Qian et al., 2023\n- **[\"CAMEL: Communicative Agents for Mind Exploration\"](https://arxiv.org/abs/2303.17760)** - Li et al., 2023\n- **[\"Agent System: A Survey of Fundamentals, Platforms, and Challenges\"](https://arxiv.org/abs/2312.14034)** - Wang et al., 2023\n\n## 🎯 Use Cases\n\n### Software Development\n- **Code Generation**: [GitHub Copilot](https://github.com/features/copilot), [CodeWhisperer](https://aws.amazon.com/codewhisperer/)\n- **Bug Detection**: [Sweep](https://github.com/sweepai/sweep), [CodeQL](https://github.com/github/codeql)\n- **Documentation**: [AutoDoc](https://github.com/autodoc-ai/autodoc), [Documatic](https://documatic.com/)\n- **Code Review**: [CodeReviewGPT](https://github.com/mattzcarey/code-review-gpt), [ReviewGPT](https://github.com/vibovenkat123/reviewGPT)\n\n### Research \u0026 Analysis\n- **Data Analysis**: [GPT Researcher](https://github.com/assafelovic/gpt-researcher), [Pandas AI](https://github.com/gventuri/pandas-ai)\n- **Literature Review**: [Elicit](https://elicit.org/), [Consensus](https://consensus.app/)\n- **Market Research**: [Perplexity](https://www.perplexity.ai/), [ChatGPT Plugins](https://openai.com/blog/chatgpt-plugins)\n- **Financial Analysis**: [BloombergGPT](https://arxiv.org/abs/2303.17564), [FinGPT](https://github.com/AI4Finance-Foundation/FinGPT)\n\n### Content Creation\n- **Writing**: [Jasper](https://www.jasper.ai/), [Copy.ai](https://www.copy.ai/), [Writesonic](https://writesonic.com/)\n- **Design**: [Midjourney](https://www.midjourney.com/), [DALL-E](https://openai.com/dall-e-2), [Stable Diffusion](https://stability.ai/)\n- **Video Production**: [Runway](https://runwayml.com/), [Synthesia](https://www.synthesia.io/)\n- **Social Media**: [Buffer](https://buffer.com/), [Hootsuite](https://hootsuite.com/)\n\n### Business Operations\n- **Customer Service**: [Intercom](https://www.intercom.com/), [Zendesk](https://www.zendesk.com/)\n- **Sales**: [HubSpot](https://www.hubspot.com/), [Salesforce Einstein](https://www.salesforce.com/products/einstein/)\n- **Marketing**: [Marketo](https://www.marketo.com/), [Mailchimp](https://mailchimp.com/)\n- **HR**: [HireVue](https://www.hirevue.com/), [Pymetrics](https://www.pymetrics.com/)\n\n## 📖 Learning Resources\n\n### Books\n- **[\"Artificial Intelligence: A Modern Approach\"](https://aima.cs.berkeley.edu/)** - Russell \u0026 Norvig\n- **[\"Reinforcement Learning: An Introduction\"](http://incompleteideas.net/book/the-book-2nd.html)** - Sutton \u0026 Barto\n- **[\"Deep Learning\"](https://www.deeplearningbook.org/)** - Goodfellow, Bengio \u0026 Courville\n- **[\"The Alignment Problem\"](https://www.brianchristian.org/the-alignment-problem/)** - Christian, 2020\n\n### Online Courses\n- **[Stanford CS234: Reinforcement Learning](https://web.stanford.edu/class/cs234/)**\n- **[MIT 6.S191: Introduction to Deep Learning](http://introtodeeplearning.com/)**\n- **[Berkeley CS285: Deep Reinforcement Learning](http://rail.eecs.berkeley.edu/deeprlcourse/)**\n- **[Coursera: Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning-introduction)**\n- **[Microsoft AI Agents for Beginners](https://github.com/microsoft/ai-agents-for-beginners)**: 11 Lessons to Get Started Building AI Agents\n- **[Hugging Face Agents Course](https://github.com/huggingface/agents-course)**: This repository contains the Hugging Face Agents Course\n\n### Blogs \u0026 Newsletters\n- **[Anthropic Blog](https://www.anthropic.com/research)**: AI safety and research updates\n- **[OpenAI Blog](https://openai.com/blog)**: Latest developments in AI\n- **[DeepMind Blog](https://deepmind.com/blog)**: Research insights and breakthroughs\n- **[AI Alignment Newsletter](https://rohinshah.com/alignment-newsletter/)**: Safety and alignment research\n\n### Awesome Lists\n- **[Awesome LLM Apps](https://github.com/Shubhamsaboo/awesome-llm-apps)**: Collection of awesome LLM apps with AI Agents and RAG\n- **[Awesome AI Agents](https://github.com/e2b-dev/awesome-ai-agents)**: A list of AI autonomous agents\n\n## 🚀 Architecture Patterns\n\n### Agent Architectures\n1. **ReAct Pattern**: Reasoning + Acting\n2. **Chain of Thought**: Step-by-step reasoning\n3. **Tree of Thoughts**: Multi-path exploration\n4. **Reflexion**: Self-reflection and improvement\n5. **Toolformer**: Tool usage integration\n\n### Multi-Agent Patterns\n1. **Hierarchical**: Master-slave coordination\n2. **Peer-to-Peer**: Equal agent collaboration\n3. **Market-based**: Competitive bidding systems\n4. **Swarm**: Emergent collective behavior\n5. **Federated**: Distributed learning and coordination\n\n### Memory Systems\n1. **Short-term Memory**: Context window management\n2. **Long-term Memory**: Vector databases and embeddings\n3. **Episodic Memory**: Event-based recall\n4. **Semantic Memory**: Knowledge graph integration\n5. **Working Memory**: Active task management\n\n## 🔍 Evaluation \u0026 Benchmarks\n\n### Agent Capabilities\n- **Tool Usage**: Ability to use external tools and APIs\n- **Reasoning**: Logical thinking and problem-solving\n- **Planning**: Task decomposition and execution\n- **Memory**: Information retention and recall\n- **Collaboration**: Multi-agent coordination\n\n### Benchmark Datasets\n- **[HotpotQA](https://hotpotqa.github.io/)**: Multi-hop reasoning\n- **[GSM8K](https://github.com/openai/grade-school-math)**: Mathematical problem solving\n- **[HumanEval](https://github.com/openai/human-eval)**: Code generation evaluation\n- **[MMLU](https://github.com/hendrycks/test)**: Multi-task language understanding\n- **[AgentBench](https://github.com/THUDM/AgentBench)**: Agent-specific evaluation\n\n### Evaluation Metrics\n- **Success Rate**: Task completion percentage\n- **Efficiency**: Time and resource usage\n- **Robustness**: Performance under uncertainty\n- **Scalability**: Performance with increased complexity\n- **Safety**: Alignment with human values\n\n---\n\n## 🤝 Contributing\n\nWe welcome contributions! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## 🙏 Acknowledgments\n\nThanks to all the researchers, developers, and contributors who have advanced the field of AI agents and made their work open source.\n\n---\n\n*Last updated: August 2025*\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/l-aime%2Fawesome-agents/projects"}