A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
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Updated
Jun 10, 2024 - Jupyter Notebook
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
AICI: Prompts as (Wasm) Programs
Harness LLMs with Multi-Agent Programming
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
[AI Agent Application Development Framework] - 🚀 Build AI agent native application in very few code 💬 Easy to interact with AI agent in code using structure data and chained-calls syntax 🧩 Enhance AI Agent using plugins instead of rebuild a whole new agent
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
This repository shares end-to-end notebooks on how to use various features and integrations with Weaviate at the core!
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.
Tune LLM in few lines of code
Langtrace 🔍 is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorDBs and more.. Integrate using Typescript, Python. 🚀💻📊
The Open Source DevOps Assistant - solve problems twice as fast with an AI teammate
Integrating AI into every workflow with our open-source, no-code platform, powered by the actor model for dynamic, graph-based solutions.
AI-to-AI Testing | Simulation framework for LLM-based applications
Multi-Agent Conversation Framework in TypeScript
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
Low code tool to rapidly build and coordinate multi-agent teams
Geniusrise: Framework for building geniuses
GoalChain for goal-orientated LLM conversation flows
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