A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
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Updated
Aug 18, 2024 - Jupyter Notebook
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
Harness LLMs with Multi-Agent Programming
AICI: Prompts as (Wasm) Programs
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
Low code tool to rapidly build and coordinate multi-agent teams
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.
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.
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. 🚀💻📊
On-Call/DevOps Assistant - Get a head start on fixing alerts with AI investigation
FineTune LLMs in few lines of code (Text2Text, Text2Speech, Speech2Text)
Integrating AI into every workflow with our open-source, no-code platform, powered by the actor model for dynamic, graph-based solutions.
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.
AI-to-AI Testing | Simulation framework for LLM-based applications
Multi-Agent Conversation Framework in TypeScript
Geniusrise: Framework for building geniuses
GoalChain for goal-orientated LLM conversation flows
ICLR 2024 论文和开源项目合集
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