Statistics for topic llm-agent
RepositoryStats tracks 631,398 Github repositories, of these 112 are tagged with the llm-agent topic. The most common primary language for repositories using this topic is Python (73). Other languages include: TypeScript (14)
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Pocket Flow: 100-line LLM framework. Let Agents build Agents!
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.
Start building LLM-empowered multi-agent applications in an easier way.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
Your 24/7 On-Call AI Agent - Solve Alerts Faster with Automatic Correlations, Investigations, and More
LLM-PySC2 is NKAI Decision Team and NUDT Decision Team's Python component of the StarCraft II LLM Decision Environment. It exposes Deepmind's PySC2 Learning Environment API as a Python LLM Environment...
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.
Start building LLM-empowered multi-agent applications in an easier way.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Model Context Protocol (MCP) server designed for LLMs to interact with Obsidian vaults. Provides secure, token-aware tools for seamless knowledge base management through a standardized interface.
✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models
Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Model Context Protocol (MCP) server designed for LLMs to interact with Obsidian vaults. Provides secure, token-aware tools for seamless knowledge base management through a standardized interface.
A lightweight task engine for building stateful AI agents that prioritizes simplicity and flexibility.
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.
Start building LLM-empowered multi-agent applications in an easier way.
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.
Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.
All-in-one Web Agent framework for post-training. Start building with a few clicks!
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.