{"id":25193806,"url":"https://github.com/mike014/what_are_ai_agents","last_synced_at":"2026-05-06T11:35:14.862Z","repository":{"id":276327775,"uuid":"928950970","full_name":"Mike014/What_are_AI_Agents","owner":"Mike014","description":"In this repo, I deal with the topic of AI Agents, how they operate, their architecture.","archived":false,"fork":false,"pushed_at":"2025-04-04T09:56:55.000Z","size":496,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-04T10:35:41.263Z","etag":null,"topics":["agent-based-modeling","agents","ai","jupyter-notebook","langchain","llm"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/Mike014.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}},"created_at":"2025-02-07T14:38:28.000Z","updated_at":"2025-04-04T09:56:59.000Z","dependencies_parsed_at":"2025-02-27T17:57:06.056Z","dependency_job_id":"1d19f9df-1910-49c0-b568-d15a50ee4a65","html_url":"https://github.com/Mike014/What_are_AI_Agents","commit_stats":null,"previous_names":["mike014/what_are_ai_agents-"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mike014%2FWhat_are_AI_Agents","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mike014%2FWhat_are_AI_Agents/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mike014%2FWhat_are_AI_Agents/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mike014%2FWhat_are_AI_Agents/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Mike014","download_url":"https://codeload.github.com/Mike014/What_are_AI_Agents/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247187843,"owners_count":20898389,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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"}},"keywords":["agent-based-modeling","agents","ai","jupyter-notebook","langchain","llm"],"created_at":"2025-02-09T23:22:35.802Z","updated_at":"2026-05-06T11:35:14.858Z","avatar_url":"https://github.com/Mike014.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI Agents: Architecture \u0026 Implementation\n\n**A comprehensive exploration of AI agent systems, their operational patterns, and architectural foundations.**\n\nThis repository documents my research and practical implementation of various AI agent frameworks, focusing on the intersection between reasoning capabilities and autonomous action execution.\n\n## 🔬 Research Focus\n\n**Core Areas:**\n- **ReAct Paradigm**: Implementation of Reasoning + Acting patterns in language models\n- **Multi-Agent Orchestration**: Using LangGraph for complex agent workflows  \n- **RAG-Enhanced Agents**: LlamaIndex integration for knowledge-grounded responses\n- **Lightweight Agent Systems**: SmolAgents for resource-efficient deployments\n\n## 📁 Repository Structure\n\n```\n├── HuggingFace_Course/     # Systematic study of HF agent frameworks\n├── LangGraph/              # Graph-based agent orchestration patterns\n├── llamaindex/             # RAG-powered agent implementations  \n├── smolagents/             # Minimalist agent architectures\n├── Agents.ipynb            # Comparative analysis \u0026 experiments\n└── ReAct-Synergizing.ipynb # Core ReAct methodology implementation\n```\n\n## 🛠 Technical Stack\n\n- **Frameworks**: HuggingFace Transformers, LangGraph, LlamaIndex\n- **Models**: Fine-tuned language models with custom reasoning chains\n- **Architecture**: Event-driven agent systems with tool integration\n\n## 💡 Key Contributions\n\nThis work bridges theoretical agent research with practical implementation challenges, exploring how different architectural choices affect agent behavior, reliability, and performance in real-world scenarios.\n\n*Part of ongoing research in AI-driven interactive systems and autonomous digital entities.*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmike014%2Fwhat_are_ai_agents","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmike014%2Fwhat_are_ai_agents","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmike014%2Fwhat_are_ai_agents/lists"}