Projects (51 items)

AutoGPT is an autonomous AI agent that can complete user-defined tasks end-to-end. It plans and executes steps on its own and is considered a milestone in agent autonomy.

Dify is an open-source LLM application development platform with a visual agent orchestration interface, supporting workflows, knowledge bases, and multiple models.

LangChain is a framework for building applications powered by language models. It provides core capabilities such as chaining, memory management, and agent orchestration, making it a go-to choice for AI agent development.

MCP Servers provides a large collection of reusable Model Context Protocol server implementations, giving agents standardized tool capabilities.

browser-use enables browser automation for agents, allowing LLMs to understand pages and perform complex web interactions.

Lobe Chat is an open-source ChatGPT-style chat application with a plugin system and multi-model support, suitable as an agent conversation interface.

OpenHands is an open-source AI software engineering agent platform that can automatically execute development tasks, modify code, and support collaborative iteration.

MetaGPT is a multi-agent framework that assigns different roles to GPTs to form a collaborative entity for complex tasks. Given one line of requirement, it returns PRD, design, tasks, and code.

Microsoft AutoGen is a multi-agent conversation framework that lets you create multiple agents to collaborate through dialogue and solve complex tasks.

GPT Engineer is an AI tool that generates entire codebases based on natural language descriptions. Just describe what you want to build, the AI asks for clarification, and then builds it.

Flowise is a low-code builder for LLM apps that lets you create agent workflows and RAG applications with drag-and-drop interfaces.

Mem0 is a long-term memory layer for AI agents, supporting cross-session memory management and personalized context retrieval.

LlamaIndex is a data framework that provides the data connection layer for LLM applications, with strong RAG capabilities across diverse data sources and vector databases.

CrewAI is a framework for orchestrating role-based AI agents. It lets you create teams of agents with distinct goals that collaborate on complex tasks.

Milvus is a high-performance open-source vector database built for AI applications. It supports storage, indexing, and similarity search of large-scale vector data, ideal for RAG, recommendation systems, and more.

Aider is an AI coding assistant that lets you pair program with LLMs in your terminal. It supports Git integration and can automatically commit code changes, perfect for developer pair programming.

LiteLLM provides a unified interface and proxy gateway for LLM calls, simplifying multi-model switching, routing, and cost control.

Phidata is a framework for building AI agents with memory, knowledge, and tool integration to make agents more capable and useful.

AgentGPT is a browser-based autonomous AI agent platform where users can configure and run agents directly in the web UI without local deployment.

DSPy is a declarative LLM programming framework focused on optimizable prompts and program structure, suitable for complex agent workflows.

Continue is an open-source AI code assistant extension for VS Code and JetBrains IDE. It can autocomplete code, refactor, and explain code, helping developers improve programming efficiency.

Qdrant is a high-performance vector database widely used as the retrieval layer for RAG and agent memory search scenarios.

Microsoft Semantic Kernel is a lightweight SDK for combining large language models with conventional programming languages to build AI agent applications.

Chroma is an open-source AI-native embedding database designed for building LLM applications. It provides simple APIs to store embeddings and perform similarity search, making it ideal for RAG applications.

LangGraph is an agent workflow orchestration framework from the LangChain team, using graph structures to model agent state and transitions.

smolagents is a lightweight agent framework from Hugging Face for quickly building tool-using LLM agents.

GPT Researcher is an autonomous research agent that can gather, organize, and analyze information to produce detailed research reports.

Haystack is an enterprise-grade framework for RAG and search applications, covering document processing, retrieval, generation, and evaluation end to end.

Graphiti is a temporal knowledge-graph engine for agent memory, helping systems continuously accumulate long-term context.

Langfuse is an open-source observability platform for LLM applications, supporting tracing, evaluation, prompt versioning, and cost analytics.

BabyAGI is a concise task-driven autonomous agent example that demonstrates how agents can plan, execute, and learn iteratively.

Letta (formerly MemGPT) is an open-source framework for building stateful AI agents with advanced reasoning and transparent long-term memory. It allows you to visually test, debug, and observe agents.

OpenAI Swarm is a lightweight multi-agent collaboration framework focused on simplicity and controllability, ideal for learning and prototyping.

Google Agent Development Kit (ADK) is Google's agent development framework for building complex AI agent systems with tool integration and multimodal processing capabilities.

CAMEL is an open-source framework for multi-agent collaboration, supporting role-play, task decomposition, and coordinated execution.

Weaviate is an open-source vector database that stores objects and vectors, allowing for combining vector search with structured filtering. It has built-in vectorization modules and supports multimodal data search.

PydanticAI builds agents on top of type systems, emphasizing verifiable data structures, tool calling, and production-grade reliability.

OpenAI Agents SDK is OpenAI's official agent development toolkit, supporting the building of multi-step workflow AI agents with core features like tool calling and state management.

Unstructured provides document parsing and cleaning capabilities, commonly used in RAG ingestion and preprocessing pipelines.

DeepEval is an open-source evaluation framework for LLM applications. It provides rich evaluation metrics and tools, supporting unit testing and integration testing to help developers build reliable LLM applications.

Ragas is a framework for evaluating RAG (Retrieval Augmented Generation) systems. It provides various evaluation metrics including faithfulness, answer relevance, context precision, helping developers optimize RAG application performance.

Chainlit is an open-source UI and development framework for LLM and agent chat applications, enabling fast delivery of interactive assistants.

Promptflow is a development and evaluation toolkit for LLM applications and agent workflows, with visual orchestration and debugging.

Phoenix is an open-source observability and evaluation tool for LLM and agent applications, supporting online tracing and offline diagnosis.

TaskWeaver is Microsoft's open-source code-interpreter-style agent framework, suitable for data analysis and complex task automation.

Agents is an open-source AI agent framework for building intelligent agents that can autonomously plan and execute tasks.

AgentOps is an observability platform for AI agents, providing monitoring, debugging, and evaluation to help developers optimize agent performance.

Helicone is an open-source proxy and observability platform for LLM applications, offering request tracing, caching, and cost analytics.

TruLens is an open-source tool for evaluating and tracking LLM apps. It provides specialized evaluation for RAG applications including context relevance, groundedness, and answer relevance.

Griptape is a modular framework for building and deploying AI agents, supporting toolchains, memory, and multi-model integration.

LangChain AWS is LangChain's AWS integration library, supporting building AI agents using AWS Bedrock, Lambda, and other services with seamless AWS cloud integration.