Popular GitHub Repositories for Llm Framework

A programming framework for agentic AI ? PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

Pocket Flow Tutorial Project: Turns GitHub repo into Easy Tutorial with AI

Harness LLMs with Multi-Agent Programming

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM Observability all in one place.

Automatable GenAI Scripting

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

[GenAI Application Development Framework] ? Build GenAI application quick and easy ? Easy to interact with GenAI agent in code using structure data and chained-calls syntax ? Use Agently Workflow to manage complex GenAI working logic ? Switch to any model without rewrite application code

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. ???

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.

Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework

Integrating AI into every workflow with our open-source, no-code platform, powered by the actor model for dynamic, graph-based solutions.

An ultra-lightweight agentic AI framework based on the ReAct paradigm.

AI-to-AI Testing | Simulation framework for LLM-based applications

Multi-Agent Conversation Framework in TypeScript

Simplify interactions with Large Language Models

Imagine a world where everyone can access powerful AI models—LLMs, generative image models, and speech recognition—directly in their web browser. Integrating AI into daily browsing will revolutionise online interactions, offering instant, intelligent assistance tailored to individual needs.

a modular multimodal framework for ai applications