13.8KUpdated 1 month agoApache-2.0
Browser Extension#Multi-agent workflows#Ollama integration#OpenAI-compatible API
Nanobrowser is an open-source AI agent that automates web tasks inside Chrome or Edge. It's for people who want to delegate repetitive browsing or research while choosing which models handle the work. The extension runs in your browser and is an alternative to OpenAI Operator, with an Apache 2.0 license.
41.2KUpdated 1 day agoAGPL-3.0
macOS · Docker · Web#Code execution#Hybrid search#LM Studio integration
AstrBot brings AI assistants into messaging apps such as Telegram, Discord, Slack, QQ and WeCom. It's an open source platform under AGPL-3.0 for people building personal companions, customer support bots or team automation. You can run it on your own computer or server, including through Docker, or use its desktop app for browser-style chat.
272.1KUpdated 1 day agoMIT
#Agent Skills#Git integration#Multi-agent workflows
Skills (mattpocock) is an MIT-licensed collection of engineering workflows for developers using Claude Code, Codex and other AI coding agents. Its small, separate skills work with any model and can be combined or adapted to your project, so you can choose specific practices without adopting an entire development process.
3.1KUpdated 2 months agoGPL-3.0
Web#MCP#Multi-agent workflows#Ollama integration
Cheshire Cat is a self-hosted Python framework for people learning how AI agents work or building custom assistants for research and creative projects. It pairs a local web chat interface with an API, so you can test an agent in conversation and use it inside another application. It's open source under GPL-3.0.
5KUpdated 1 day agoApache-2.0
#Code execution#Human approval#MCP
AG2 is an open-source Python framework for developers and researchers building systems where AI agents share work. The code uses the Apache 2.0 license.
28.2KUpdated 1 hour agoApache-2.0
macOS · Windows · Linux · Web · VS Code · JetBrains#Code execution#Git integration#MCP
Qwen Code is an Apache 2.0 licensed AI coding agent for developers who want help working through a codebase, changing code and checking the result. It runs on macOS, Windows and Linux, with a terminal interface and a desktop app. It builds on Google Gemini CLI and has developed into an agent that can use Qwen models alongside other model providers.
21.7KUpdated 22 hours agoApache-2.0
Docker · Web#Human approval#MCP#Multi-agent workflows
Google ADK is an open-source AI agent framework for developers building applications that carry out multi-step tasks. You can run agents locally in Docker or on your own infrastructure, and connect them to locally running models through adapters. The framework is optimized for Gemini but supports other models and providers. Its Python repository uses the Apache 2.0 license.
23.1KUpdated 1 hour agoAGPL-3.0
#Code execution#MCP#Multi-agent workflows
Skyvern uses vision models to carry out tasks in a browser, such as filling forms, collecting data, and working through logins. It's for teams automating websites whose layouts change, as well as developers who want AI actions alongside Playwright. Instead of depending on fixed page selectors, it identifies visible elements and decides how to interact with them.
28.6KUpdated 1 day agoMIT
macOS · Windows · Linux#LM Studio integration#MCP#Multi-agent workflows
Semantic Kernel is an MIT-licensed SDK for developers adding AI agents to their applications. It supports local models through Ollama, LMStudio and ONNX, alongside cloud services such as OpenAI and Azure OpenAI. You choose the model backend. The SDK runs on Windows, macOS and Linux and supports C#, Python and Java.
2.9KUpdated 24 hours agoMIT
Web · VS Code#Code execution#Hugging Face integration#MCP
Inspect AI is a Python framework for researchers and developers testing language models and AI agents. Developed by the UK AI Security Institute and Meridian Labs, it evaluates coding, reasoning, knowledge, behavior and multimodal understanding, including tasks where agents must take actions to succeed.
7.8KUpdated 2 days agoAGPL-3.0
#LM Studio integration#Multi-agent workflows#Ollama integration
Obsidian Copilot brings AI agents into your vault to find notes by meaning, edit drafts and organize research. It's for writers, researchers and other Obsidian users who want AI to work directly with their existing notes. Agents create Markdown files, wikilinks and canvases that remain in your vault.
13KUpdated 23 hours agoApache-2.0
Docker#Agent Skills#Hugging Face integration#Knowledge graphs
txtai is a Python framework for developers building search applications, chat with their data, and AI agents on their own hardware or servers. Its embeddings database combines sparse and dense vector search with graphs and relational data, so the same system can find related content and supply context to language models. It's open source under Apache 2.0.
322Updated 2 weeks agoMIT
iOS · Android · Docker · Web#Batch processing#Code execution#Guardrails
Tiledesk is a self-hosted platform for building AI agents and connecting them to human support teams. It's aimed at businesses automating customer conversations, internal information searches and workflows through a visual builder. You can run it on your own server with Docker or Kubernetes, or use its hosted cloud service.
29.6KUpdated 1 week agoApache-2.0
#Code execution#Hugging Face integration#MCP
smolagents is an open-source Python library for developers building AI agents that carry out tasks by writing and executing Python. Its CodeAgent can combine tool calls with loops, conditionals, and calculations in one action. This approach suits tasks that need several operations, rather than a single model response.
59.2KUpdated 1 day agoMIT
#MCP#Multi-agent workflows#Ollama integration
CrewAI is an open-source Python framework for developers building workflows with multiple AI agents on their own hardware or servers. It supports local models through Ollama and defaults to the OpenAI API for model requests. The framework uses the MIT license; a separate commercial platform provides managed deployment and governance, with on-premise and cloud options.
4.4KUpdated 1 day agoMIT
#Human approval#Multi-agent workflows#Multimodal input
RubyLLM is an MIT-licensed AI framework for developers building Ruby and Rails applications with local or hosted models. Its shared API lets an application switch between Ollama, cloud providers such as Anthropic and OpenAI, and OpenAI-compatible endpoints without rewriting its model integration. The framework runs in your application; model processing happens at the local or hosted backend you choose.
29.8KUpdated 1 day agoMIT
macOS · Windows · Linux#Code execution#Guardrails#Human approval
OpenAI Agents SDK is an open-source Python framework for developers building AI apps that need to use tools, delegate tasks, or work across multiple steps. Its runtime manages agent turns and conversation state while letting developers express workflows in ordinary Python. It uses the MIT license.
5.1KUpdated 22 hours ago
macOS · Windows · Linux#Git integration#MCP#Multi-agent workflows
Kiln is a desktop workbench for teams building AI applications on macOS, Windows and Linux. It keeps a task and its dataset together across evaluation, prompt optimization, RAG and fine-tuning, so teams can compare changes against the same examples. Engineers, data scientists, QA staff and subject matter experts can contribute through the app.
82.9KUpdated 4 hours ago
Linux · Docker · Web#MCP#Multi-agent workflows#Multi-user access
LobeHub is an AI agent workspace for people who want to assign work to several assistants and keep that work organized. It offers a hosted service and a Docker-based self-hosted version for a private device or server. A Linux download is also available.
89.6KUpdated 4 hours agoMIT
macOS · Windows · Linux · Docker#Agent Client Protocol#Git integration#Human approval
OpenHands is a coding agent platform for developers and teams that want agents to make changes across a codebase and handle recurring engineering work. You can run it on your own computer or self-host it on a server. Its core is open source under the MIT license, and a separate OpenHands Cloud service offers hosted execution.
886Updated 2 weeks agoMIT
macOS · Windows · Linux · Docker · Web#Agent Skills#Code execution#Guardrails
PocketPaw is a self-hosted AI agent for people who want a personal assistant that can work with files, write code and use a browser on their own computer or server. It runs on macOS, Windows and Linux, with a web dashboard and access through messaging apps. It is open source under the MIT license.
42Updated 14 hours ago
macOS · Windows · Linux · Docker#Agent Skills#Code execution#Distributed execution
Code Buddy is an AI coding assistant for developers who want a terminal agent running on their own machine, with a choice of local or cloud models. It reads repositories, edits code and runs commands on Linux, macOS and Windows. Ollama keeps model inference local without an API key or account; cloud providers send model requests off the machine. Routing includes automatic provider failover.