Tools tagged with "Multi-agent workflows"

Pipecat is a Python framework for developers building conversational AI agents that handle speech, video, text, and images. You can run it on your own machine or servers, wherever Python runs. It's open source under the BSD 2-Clause license.

Mastra is a TypeScript framework for developers building AI agents and applications on their own servers or inside existing web apps. Its server runs locally or as a standalone deployment; Mastra Cloud provides a hosted alternative. Model routing connects to providers such as OpenAI, Anthropic, and Gemini, so running the framework locally doesn't keep those model requests on your machine.

Langflow is a visual builder for developers creating AI agents and retrieval-augmented generation (RAG) applications. You can run it locally or on your own server, with Docker support and desktop apps for Windows and macOS. The open-source software uses the MIT license. A hosted cloud offering provides a separate deployment option.

Superpowers adds a structured development process to AI coding assistants. It's for developers who want their agent to agree on a design before writing code, follow an implementation plan, and check its work against that plan. The open-source framework uses the MIT license and works inside coding tools including Claude Code, Codex, Cursor, Gemini CLI and OpenCode.

GPT Researcher is a self-hosted AI research agent for people who need detailed, cited reports drawn from the web, their own documents, or both. You choose the language model and search provider, and can run the software on your own server or through Docker. It's open source under Apache 2.0.

OpenCode is a free, MIT-licensed AI coding agent for developers working in a terminal, IDE, or desktop app. The desktop app runs on macOS, Windows, and Linux, with support for both Apple Silicon and Intel Macs. It can use local models, giving developers a way to run the model on their own hardware.

Agno is a Python framework and runtime for developers building customer-facing or internal AI agents. You can run its agent platform locally with Docker, on your own servers or in your cloud. The open-source framework uses the Apache 2.0 license, and the platform keeps sessions, memory, knowledge and traces in your database.

RAGFlow is an Apache 2.0 licensed RAG engine for teams building AI agents that need to answer questions from their own documents. It can run on a self-hosted server through Docker on Windows, macOS or Linux. A separate hosted cloud service is available.

Pydantic AI is a Python SDK for developers building AI agents into their own applications. Its main draw is Pydantic validation across agent tools and results, so an agent can return structured data that application code can check and use. The SDK is MIT licensed.

Codex CLI is an open source coding assistant that runs on your computer and works with local repositories. It's for developers who want to explore code, make changes, and use their existing development tools from the terminal. It runs on macOS, Windows, and Linux under the Apache 2.0 license.

Hermes Agent is a self-hosted AI agent from Nous Research for people who want an assistant that remembers past work and develops reusable skills. It creates skills after complex tasks, revises them through use, and searches earlier conversations to recover context across sessions. The project is open source under the MIT license.

n8n lets technical teams build AI agents and business workflows in a visual editor, then add JavaScript or Python where they need more control. Each step shows its inputs and outputs, so teams can inspect how an agent reached a decision and what happened next.

Cline is an AI coding agent for developers who want help understanding a codebase and changing it. Its shared agent core is open source under Apache 2.0. You can use it in VS Code, JetBrains IDEs, or a terminal. A native desktop app runs on macOS and Windows. No editor is required for desktop sessions. The JetBrains plugin itself is not open source.

LangGraph is a free, MIT-licensed Python framework for developers building AI agents that need to keep state and handle complex tasks. It gives teams control over how an agent moves between steps, where people can intervene, and what happens when a long-running task is interrupted.

Goose is a general-purpose AI agent that runs on your computer. It suits people who want an agent for coding, research, writing, automation, or data analysis, without committing to one model provider. The desktop app runs on macOS, Windows, and Linux; there's also a CLI for terminal work and an API for use in other software.

LocalAI runs language models, speech, vision and image generation on hardware you control. It's for developers and teams that want a self-hosted AI server for their apps without sending model requests to a cloud service. Its OpenAI-compatible API works with existing clients, and it also accepts Anthropic, Ollama and ElevenLabs API calls.

Bisheng is an open source, self-hosted platform for teams building AI applications around business documents and processes. Its visual workflow editor combines automated tasks with human feedback, including intervention during multi-turn conversations. It's suited to document review, support ticket assistance and report generation that need more control than a single chatbot exchange.

LLMKube is a free, open-source Kubernetes operator for teams and homelab owners running local LLM inference across their own hardware. It manages Linux GPU servers and Apple Silicon Macs together, so a mixed fleet can serve models through the same platform. It uses the Apache 2.0 license.

MindSearch is a self-hosted AI search framework for people who want to build their own Perplexity-style answer engine. Multiple LLM agents search and read web pages to produce answers with a visible research process. It's open source under Apache 2.0.

Open Deep Research is a self-hosted AI agent that searches for information and writes research reports. It's for developers and teams who want to choose their own models and research tools. The project is archived and no longer maintained.

STORM is an MIT-licensed, open-source research tool from Stanford OVAL that turns a topic into a Wikipedia-style report with citations. You can run its Python software on your own machine or host it on a server; Stanford also offers a hosted research preview. It's aimed at people gathering background material and writers preparing an article draft.

Flowise is a visual builder for AI agents and chatbots that can run locally or on your own server, including through Docker. It's for developers and teams building LLM applications with connected workflow blocks. The project is archived and no longer maintained.

GPT Pilot is a self-hosted AI coding assistant for developers who want an agent to build applications under their supervision. The project is no longer maintained. It uses the FSL-1.1-MIT source-available license, with restrictions on competing uses. It runs locally as a Python CLI and is the core technology behind the Pythagora VS Code extension.

Wingman-AI is a self-hosted AI agent platform for work that needs ongoing context and several agents with different roles. It suits developers and teams handling research, support, or recurring operations alongside coding tasks. A lead agent can delegate work to specialized subagents, each with its own workspace and session history.

BrainSoup is a proprietary native Windows app for people who want custom AI agents to handle work on their desktop. You can give agents distinct roles and access to different data, then have them collaborate in shared chat rooms. Natural-language conversations guide their tasks and automations.

AutoGPT is an AI agent platform for teams handling recurring business work, with a hosted service and a self-hosted option. Its coordinator, Otto, assigns work to specialists for content, sales, research and operations. You can describe an outcome in plain English or talk directly to the specialist responsible for it.

AutoGen is a framework for developers building AI agents that work together or alongside people. Its agent runtime can run locally or across distributed systems, while model integrations such as OpenAI and Azure OpenAI send requests to external services. It's community-managed and in maintenance mode, with no further features or enhancements planned.

BotSharp is a self-hosted framework for .NET developers building AI agents into business applications. Written in C#, it runs on Windows, Linux and macOS and is open source software under Apache 2.0. Its plugin design lets teams choose their model provider, storage and interface while keeping agent coordination in the same framework.

Plano, formerly Arch Gateway, is a self-hosted AI gateway for developers building applications with multiple agents or model providers. It puts routing, guardrails and request tracing in a separate service, so each agent doesn't need its own implementation of that infrastructure. It's open source under Apache 2.0.

GLaDOS is a local AI voice assistant modeled on the sarcastic character from Valve's Portal games. It's for people who want a conversational companion on their own hardware, with camera awareness and connections to home automation. The Python project is open source under the MIT license and runs on Linux and Windows. macOS support is experimental.

gptme is a self-hosted AI agent that works directly in your terminal, with access to your files and installed tools. It's for developers who want a coding assistant in their own environment, and people who want an agent for data analysis or other knowledge work. The software is free under the MIT license and doesn't require a gptme account.

ChatDev is a self-hosted platform for building teams of AI agents through a visual workflow editor. It's for people who want agents to collaborate on research, data analysis or software projects without writing the orchestration code themselves. You define each agent's role and how information passes between them.

MetaGPT organizes AI agents into a software development team, with roles for product management, architecture, project management and engineering. It's a self-hosted Python framework for developers who want to generate software projects from plain-language requirements or build their own collaborative agents.

LiveKit Agents is a framework for developers building voice assistants, phone agents, and apps that combine speech with video or text. Agents join LiveKit rooms as participants, so they can interact with people through web and mobile apps or telephone calls. The Apache 2.0 project lets you run the entire stack on your own servers, including the LiveKit media server.

CAMEL is an open-source Python framework for developers and researchers building systems where AI agents work together. Its focus is on agent roles, communication, and behavior across extended tasks, with applications in synthetic training data, task automation, and simulated societies. It uses the Apache 2.0 license.

ECC is a free, MIT-licensed open source toolkit that adds repeatable engineering workflows to coding assistants. It runs alongside your chosen agent and works with self-hosted models or cloud providers through that agent's supported endpoints. It's for developers who want planning, testing and review to follow a consistent process across coding sessions.