Tools tagged with "Human approval"

Pooled runs a single open model across browser tabs on laptops, desktops and phones, combining their memory when the model won't fit on one device. It's for people who want local AI chat or a coding assistant using hardware they already have. It's open source under the MIT license and requires no account or per-device installation.

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.

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.

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.

Activepieces brings AI agents and workflow automation into one workspace for teams that need to connect their apps and internal data. It runs on your own servers with Docker or Kubernetes, or as a managed cloud service. An isolated deployment can keep platform data on its own infrastructure; connected apps and model providers may still require external access. Its core and app integration pieces are MIT-licensed.

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.

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.

Open WebUI gives individuals and teams a self-hosted place to chat with local LLMs and cloud models. It runs on your own computer or server, including through Docker, and can work entirely offline with local models.

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.

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.

Off Grid AI runs language models on iOS, Android, macOS, Windows and Linux. You can chat, analyze documents and generate images on your own hardware. The mobile app uses the MIT license, while the desktop app uses AGPL.

ScribeDog is a Markdown editor for writers and note-takers who want AI assistance while keeping their documents on their own hardware. It displays formatted text, tables and images instead of Markdown syntax, but saves ordinary .md files that work with Git and other editors. It has a native desktop app and a self-hosted Server Edition available through Docker.

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.

Bolna is a voice AI agent platform for businesses handling customer support, lead qualification, reminders, and recruitment calls. Its focus is Indian languages and accents, including Hindi, Hinglish, Tamil, and Telugu, alongside English. Developers can self-host its MIT-licensed Python orchestration core, while business teams can use a hosted dashboard to build agents without code.

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.

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.

CodeGPT is an AI coding assistant for VS Code, JetBrains and Visual Studio that lets developers choose between models running locally through Ollama or LM Studio and cloud models such as Claude, GPT, Gemini and Grok. It's for people who want help writing and debugging code inside their editor while keeping control over which model handles each task.

ShellGPT is an AI terminal assistant for developers and people who work with shell commands. It runs on Linux, macOS and Windows, turning plain-language requests into commands suited to your operating system and shell. You can review, explain or execute its suggestions, and its Bash and Zsh integrations put generated commands into the terminal input line for editing.

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.

SuperAGI is a self-hosted AI agent framework for developers who want to build task automation and manage agents through a browser interface. It runs locally in Docker and can use local LLMs with a GPU. The Python project uses the MIT license, so you can modify it for your own applications.

Plandex is an open source, terminal-based AI coding agent for developers working on changes that span many files. Its review sandbox holds generated edits apart from your project files so you can inspect the accumulated changes before applying them. You can run its server locally through Docker or host it on your own server. The code uses the MIT license.

CopilotKit is a self-hostable SDK for developers building AI agents into web and mobile apps, Slack, or Microsoft Teams. Agents can display interactive charts and forms using an app's own components, read shared app state, and take actions through frontend tools, APIs, or MCP tools.

Paperless-GPT adds AI text extraction and document organization to an existing paperless-ngx library. It runs in Docker on your own server and suits people who want less manual sorting of scanned paperwork. The project is open source under the MIT license.

SimpleTuner is an open-source toolkit for fine-tuning image, video and audio generation models on your own hardware or GPU servers. It's for creators and researchers adapting models to their datasets, and teams sharing training infrastructure. A web dashboard manages training jobs.

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.

Open Interpreter is a terminal coding assistant built around open-weight models, with model-specific behavior for Kimi, Qwen and DeepSeek. It's a fork of OpenAI's Codex for developers who want to choose their model provider while keeping a familiar agent interface. The project uses the Apache 2.0 license.

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.

BoltAI is a native Mac app for people who want local LLMs and cloud AI services in the same workspace. It runs on Intel and Apple Silicon Macs and suits coding, writing, research and document analysis. The interface uses SwiftUI and AppKit.

Mattermost Agents brings AI assistants into a self-hosted Mattermost workspace, with a choice of local models or cloud providers. It's for teams that want help with long discussions and meeting recordings while controlling where their collaboration data goes. The plugin is open source under Apache 2.0.

OpenAdapt turns a demonstrated task into a repeatable program for browser, desktop, and remote applications. Its local, MIT-licensed open-source engine is for teams and AI agent builders who need to automate work in interfaces their APIs can't reach. It checks the outcome independently before reporting success and stops when verification fails.

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.