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Mastra is the modern TypeScript framework for AI-powered applications and agents.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
- semantic-search
- information-retrieval
- ai
- python
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
- ai-societies
- artificial-intelligence
- deep-learning
- large-language-models
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
- ai-agent
- automation
- autonomous-agent
- browser-automation
The ultimate LLM/AI application development framework in Go.
- ai
- langchaingo
- ai-application
- llm-application
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
- huggingface
- java
- langchain
- openai
⚙️🦀 Build modular and scalable LLM Applications in Rust
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Building AI agents, atomically
The open source platform for AI-native application development.
- ai
- ai-native
- generative-ai
- gpt
Superduper: End-to-end framework for building custom AI applications and agents.
- ai
- mlops
- torch
- transformers
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
AdalFlow: The library to build & auto-optimize LLM applications.
Easiest and laziest way for building multi-agent LLMs applications.
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.
- gaia
- general-purpose
- multiagent-systems
- multimodel
PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.
- embodied-agent
- embodied-ai
- agent
- harness
Build, run and scale AI agents like API and microservices
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
- burr
- dags
- graphs
- llmops
An agent capable of self-evolving and dynamically hardening security
- agent
- hermes
- open-claw
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.