Agents
React.js LLM Agent for next generation codingReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.
ReactAgent - The open-source React.js LLM Agent
The LLM doesn’t call the tool directly (yet), but it does pass back to the application what functions should be called — and with which parameters. And, now, OpenAI lets multiple function calls be “invoked” at once.
But, this idea is not just about GPT. The open source world is moving towards this model as well.
This Is The Future…It’s Just Not Here... See more
But, this idea is not just about GPT. The open source world is moving towards this model as well.
This Is The Future…It’s Just Not Here... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
🤖 Create perpetual chatbots with self-editing memory!
🗃️ Chat with your data - talk to your SQL database or your local files!
📄 You can also talk to docs - for example ask about LlamaIndex!
🗃️ Chat with your data - talk to your SQL database or your local files!
📄 You can also talk to docs - for example ask about LlamaIndex!
cpacker • GitHub - cpacker/MemGPT: Teaching LLMs memory management for unbounded context 📚🦙
📖 Introduction
ReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.
🚀 Features
ReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.
🚀 Features
- Generate React Components from user stories
- Compose React Components from existing components
- Use a
eylonmiz • GitHub - eylonmiz/react-agent: The open-source React.js Autonomous LLM Agent
The Semantic Layer
for every data app
Connect data silos, drive consistent metrics, and power your AI and analytics with context.
for every data app
Connect data silos, drive consistent metrics, and power your AI and analytics with context.
Cube — Semantic Layer for Building Data Applications
🔎 GPT Researcher
GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
The agent can produce detailed, factual and unbiased research reports, with customization options for focusing on relevant resources, outlines, and lessons. Inspired by the recent Plan-and-Solve and RAG (Retrieval Augmented... See more
GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
The agent can produce detailed, factual and unbiased research reports, with customization options for focusing on relevant resources, outlines, and lessons. Inspired by the recent Plan-and-Solve and RAG (Retrieval Augmented... See more
assafelovic • GitHub - assafelovic/gpt-researcher: GPT based autonomous agent that does online comprehensive research on any given topic
📖 Introduction
XAgent is an open-source experimental Large Language Model (LLM) driven autonomous agent that can automatically solve various tasks. It is designed to be a general-purpose agent that can be applied to a wide range of tasks. XAgent is still in its early stages, and we are working hard to improve it.
🏆 Our goal is to create a... See more
XAgent is an open-source experimental Large Language Model (LLM) driven autonomous agent that can automatically solve various tasks. It is designed to be a general-purpose agent that can be applied to a wide range of tasks. XAgent is still in its early stages, and we are working hard to improve it.
🏆 Our goal is to create a... See more
OpenBMB • GitHub - OpenBMB/XAgent: An Autonomous LLM Agent for Complex Task Solving
Sandbox for AI Apps & Agents
Secure sandboxed cloud environments made for AI agents and AI apps
Secure sandboxed cloud environments made for AI agents and AI apps
Sandbox for AI Apps & Agents
AgentTuning: Enabling Generalized Agent Abilities For LLMs
🤗 Model (AgentLM-70B) • 🤗 Dataset (AgentInstruct) • 📃 Paper • 🌐 Project Page
中文版(Chinese)
AgentTuning represents the very first attempt to instruction-tune LLMs using interaction trajectories across multiple agent tasks. Evaluation results indicate that AgentTuning enables the agent... See more
🤗 Model (AgentLM-70B) • 🤗 Dataset (AgentInstruct) • 📃 Paper • 🌐 Project Page
中文版(Chinese)
AgentTuning represents the very first attempt to instruction-tune LLMs using interaction trajectories across multiple agent tasks. Evaluation results indicate that AgentTuning enables the agent... See more