OpenBot

OpenBot is an open-source AI agent platform from CopilotKit that gives each agent its own computer with a browser, logins, files, tools, and a dedicated interaction channel. It runs in the user's infrastructure and accepts agents that speak the AG-UI protocol, including agents built with LangGraph, Mastra, CrewAI, Pydantic AI, Google ADK, or custom code. A single gateway mediates actions involving the computer, files, MCP servers, and UI components: it decides whether an action is permitted before execution and records it afterward. Agents can operate their own browser screen, hand control to a human for restricted actions, and return component-based responses. Docker Compose runs the application components and PostgreSQL, while the administrator supplies the model credentials; the repository describes the project as alpha software under active development.

OpenMausBot is an open-source, local-first chat application for managing a team of AI bots as separate contacts. Each bot can have its own personality, model, conversation thread, computer, and connected applications, using agents launched through locally installed Claude, Codex, or Grok command-line tools and existing user logins. A local harness server on 127.0.0.1 manages agent processes, transcripts, keys, and events in the user's local OpenMausBot data directory. Bots can work through a cloud Linux desktop, an isolated local virtual machine, or—where supported—the host computer. Shell commands, file edits, and questions are routed through a permission broker and shown as approval or response cards. The application includes model selection, bot and conversation management, browser-accessible desktop takeover, and connected applications through Composio, including services such as Gmail, Slack, GitHub, Notion, and Linear. The repository provides desktop distributions for macOS, Windows, and Ubuntu, with Ubuntu Wayland host control disabled according to the README while a stated issue is resolved.

OpenDots is an open-source, self-hostable template for building persistent AI coworkers, called Dots, each with its own role, instructions, permitted tools, browser profile, files, and workspace. It provides a web and mobile workspace with Spaces, searchable pages, visual editing, page-specific conversations, and specialist Dots. Its workflow connects agents to interfaces through AG-UI and uses CopilotKit components, TanStack AI for model streaming and server-side tool execution, Intelligence for durable conversation Threads, and Channels SDK for Slack. Dots can perform browser and workspace actions through OpenBot computers, with permissions, activity records, human takeover, and persistent browser profiles and files. Drafts can be paused for human approval before being saved as pages; the template also includes text conversations, configurable voice calls, background work, research, memory, and automatic-learning flows. OpenDots is a starting point rather than a hosted product: operators clone and run the application, configure its model, conversation, channel, speech, browser, and computer services, and customize the workflows. The repository describes the project as early-stage, with some connected-service behavior still requiring verification. It is distributed under the MIT license.

OpenWorker is an open-source desktop AI coworker that produces finished deliverables from everyday tasks, including code-security reviews with proposed fixes, cloud-configuration audits, incident reports, documents, spreadsheets, drafted messages, and scheduled briefs. It runs on the user's machine through a native desktop app and a local Python agent server built on aisuite, working across local files, the terminal, connected applications, and more than 25 connectors. Specialist coworkers cover security review, cloud posture, incident triage, everyday work, and recurring automations; security review combines deterministic scanners such as Semgrep with model reasoning, then re-scans and diff-reviews proposed fixes before approval. The agent breaks requested outcomes into steps and uses models from providers such as OpenAI, Anthropic, and Google, open-weight providers, or a local Ollama deployment, with the user supplying model access. Consequential actions—including sending messages, changing calendars, and running commands—are approval-gated. Its governance design includes human-only floors for dangerous or irreversible operations, explicitly granted and revocable autonomy rules, circuit-breaker escalation for uncertain or repeatedly denied actions, and an audit trail recording tool calls, approval provenance, and reviewer reasoning; unattended runs cannot self-approve. The project is in open beta and provides downloads for macOS on Apple Silicon and Windows on x64.

OpenHands is an open-source AI coding-agent platform for building and running software-development agents locally, in cloud sandboxes, or in controlled enterprise environments, using closed or open-weight models and supporting parallel execution. Its Agent Canvas connects to local, remote, or cloud agent backends, including Docker containers, virtual machines, OpenHands Cloud or Enterprise infrastructure, and ACP-compatible agents such as Claude Code, Codex, Gemini CLI, Pi, and OpenCode. Automation workflows run on schedules or webhook events and integrate with services including GitHub, Slack, Jira, Linear, Notion, and Datadog for tasks such as pull-request review, CI-failure remediation, issue triage, QA checks, incident investigation, documentation updates, and recurring engineering work. OpenHands supports MCP connections to internal tools, APIs, and data sources, along with enterprise controls for execution isolation, access permissions, auditing, usage, budgets, and organizational policies. The repository includes the Agent Canvas frontend, backend selection, local-stack orchestration, and an Agent Server REST API for running multiple agents on a host; related repositories provide the SDK, TypeScript client, and automation services.