Awesome Chatgpt

Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

an ambient intelligence library

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL

Democratizing Reinforcement Learning for LLMs

🐢 Open-Source Evaluation & Testing library for LLM Agents

ChatGPT官网接口纯协议的逆向实现，支持GPT-Image-2模型、文本模型，兼容OpenAI接口协议，在线批量生图/编辑图，号池管理，支持可编辑PPT/PSD文件逆向，支持导入CPA、sub2api号池 、支持接入Cherry Studio、New Api 等软件

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

Ecommerce Search and Discovery - marqo.ai

Where data access meets operational intelligence

A blazing fast inference solution for text embeddings models

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

Zep | Examples, Integrations, & More

AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x

Agenta is a workspace where you and your team build agents and automations.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！

AI observability platform for production LLM and agent systems.

A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

TradingView MCP server — real-time market data, technical analysis, screeners & backtesting for Claude, ChatGPT, Cursor & any MCP client. Stocks, crypto, forex & futures across global exchanges. Hosted or self-host.

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

Your First AI Agents Company

A Model Context Protocol server for Excel file manipulation

Harness LLMs with Multi-Agent Programming

A system for agentic LLM-powered data processing and ETL

SOTA search powered LLM

Agent Skills as a Memory Layer

Evaluation and Tracking for LLM Experiments and AI Agents

The memory-first, self-improving agent harness built on EverOS, with MiroThinker-powered deep research and reasoning.

The platform for LLM evaluations and AI agent testing

II-Agent: a new open-source framework to build and deploy intelligent agents

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.

AI agent microservice

A Model Context Protocol server for searching and analyzing arXiv papers

RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

Build, run and scale AI agents like API and microservices

HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance

A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.

Seamlessly integrate LLMs as Python functions

Aix-DB 基于 LangChain/LangGraph 框架，结合 MCP Skills 多智能体协作架构，实现自然语言到数据洞察的端到端转换。