Open-Source AI Agent Frameworks

RocketRide is an AI pipeline builder and runtime for developers creating document processing, search, and agent workflows. Its visual editor sits in VS Code, alongside the application code that uses those workflows.

NVIDIA NeMo Agent Toolkit is an open-source Python library for developers building self-hosted servers that expose AI tools and workflows through MCP or A2A. It also measures and evaluates agent workflows across frameworks. Its introductory NVIDIA NIM workflow uses hosted inference and requires an NVIDIA account and API key.

LangChain4j is a Java library for building chatbots, assistants and AI agents that use local models through Ollama. It runs within JVM applications, while Ollama handles model inference on your hardware using a CPU or GPU. You can also connect to OpenAI or Google Vertex AI, in which case model requests go to the remote provider.

Munder Difflin is a desktop app for developers who want coding agents to collaborate on their own machine. You give an orchestrator a request, and it divides the work among agents instead of leaving you to coordinate separate terminals.

PocketFlow is a Python framework for developers building AI agents and workflows with their own model connections. Its utility examples include an Ollama function for local LLM calls. Developers supply that function rather than using a built-in model wrapper. Cloud API examples send model requests to their providers. FastAPI examples show chat applications with streamed responses and background jobs.

smolagents is a Python AI agent library for developers building software that uses tools and calculations to complete tasks. Its CodeAgent writes and executes Python actions, combining tool calls with loops and conditional logic.

Oh My Subagents coordinates Codex and Claude agent teams for developers and researchers handling coding, investigations or independent code review. It saves delegated work and progress so teams can resume interrupted tasks.

Prompty is a prompt format and developer toolkit for building AI applications. It keeps prompt text, model settings, inputs and tool definitions in a portable Markdown file that developers can share across editors and language runtimes.

Agency Orchestrator coordinates specialist AI roles for developers and solo builders working on product plans, research or content. A task description can become a team that divides the work and combines its results.

Claw Orchestrator gives developers one interface for multiple coding agents and checks their results independently. You define acceptance criteria, and the runtime executes the checks and keeps the evidence on disk.

Agentlas OS is an open-source AI agent framework for projects that need specialist teams and shared project context. It runs on macOS, Windows and Linux, with local document indexing, semantic search and memory retrieval. You supply the model. Using a cloud model sends requests to that provider and may incur charges.

OpenClaw.NET is a self-hosted AI agent runtime for a personal assistant or a shared team gateway. It's an independent .NET implementation inspired by OpenClaw, with compatibility for supported parts of that ecosystem.

Astron Agent is an AI agent platform for teams building workflows that act across business systems. Its self-hosted edition combines workflow orchestration with tools that let agents carry out tasks.

Bisheng is a self-hosted AI application platform for teams working with business documents and processes. It supports tasks such as document review, support ticket assistance and fixed-layout report generation, including workflows that need human judgment during execution.

KADATH is a self-hosted AI agent runtime for developers and researchers comparing agents against a measurable goal. It runs successive generations of agents and selects stronger approaches, but model calls require OpenAI's cloud API, an API key and internet access.

Mastra is a TypeScript framework for developers building self-hosted AI agents and applications with local models through LM Studio. It supports gpt-oss, Qwen3 and DeepSeek through an OpenAI-compatible model server. The framework can also call OpenAI, Anthropic and Gemini, which send model requests to those remote providers.

Shinkai lets people build AI agents to automate tasks without writing code. Its desktop app can run agents entirely offline with local models, including workflows that handle sensitive data.

Letta is an AI agent platform whose App Server can run locally or on a self-hosted server. It's for people building assistants that retain context between conversations and use that memory in later interactions. Local agents can use Ollama or LM Studio with agent state and the model endpoint on your machine. Cloud model connections use remote providers.

fx is a coding agent for developers who prefer working in a terminal and researchers who want to embed an agent in their own software. Its shell-style interface keeps tool activity alongside the conversation and preserves terminal scrollback.

VoltAgent is a TypeScript AI agent framework for developers building assistants and automated workflows with local models through Ollama. Its VoltOps console can be self-hosted or used as a cloud service. Model execution depends on the provider: Ollama supports local inference, while OpenAI, Anthropic and Google connections send requests to those remote services.

Dify is a visual builder for teams creating AI agents and applications that use their own data and tools. Its canvas makes application logic visible so teams can inspect and test how a task proceeds.

ClawLess is a browser app and SDK for developers who want AI agents to write and execute code in an isolated workspace. Execution runs in your browser without a backend server, but model requests go to Anthropic, OpenAI or Google through API keys, so AI tasks need online services.

mcp-use is a TypeScript framework for developers building MCP servers and apps for ChatGPT, Claude, and AI agents. It brings tool definitions, interactive interfaces, and testing into one development framework.

llmware is a Python framework for developers building applications that answer questions using their own documents or carry out multi-step AI agent workflows. It focuses on small, specialized models that can run on laptops, edge devices, and self-hosted servers.

Weft is a language and framework for developers who want to run AI workflow orchestration on their own machine. Its runtime requires Docker, and its graph editor works in VS Code and compatible forks. Self-hosting the workflow doesn't make its model calls local: the included WhatsApp support bot uses OpenRouter for inference.

DB-GPT is a self-hosted AI data assistant for teams analyzing business data and developers building data applications. It connects plain-language questions to database queries and code-based analysis.

DSH AgentTeams coordinates AI agents inside DeepSeek Harness for coding, research and review tasks. A lead agent assigns work to specialists and combines their results, while you can review the proposed team before execution.

Ringer coordinates parallel AI coding agents on your machine. It's for developers who want to divide implementation work among workers and judge the results with executable checks.

RAGFlow helps teams build AI agents that answer questions using their own documents. It extracts content from complex files and retrieves supporting material that readers can check.

Activepieces is a self-hosted automation platform for teams that want AI agents and app workflows on their own servers. It runs with Docker or Kubernetes, alongside a managed cloud offering. Self-hosting controls where the app runs; connections to Anthropic, OpenAI, AWS Bedrock or Google Gemini still send model requests to those providers using your credentials.

NVIDIA Object Oriented Agents (NOOA) is a Python framework for developers building AI agents in their own projects. It supports local models through Ollama and vLLM via LiteLLM, with Qwen3 examples for both backends. It also supports Anthropic and OpenAI models, which send requests to those remote providers.

Browser Use is an AI browser agent for developers automating tasks across websites. It can work through pages and forms to complete jobs such as booking an appointment.

XAgent is an experimental self-hosted AI agent for multi-step coding, research and data-analysis tasks. It plans subtasks, revises plans as work progresses and dispatches actions to agents. A command-line interface and browser UI let you guide a run or provide missing information.

Hive coordinates AI agents for teams processing batches of leads, tickets, repositories or documents. A persistent lead agent, called a queen, develops a method on one item before assigning parallel workers, with human approval before the group starts.