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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.

LobeHub is a self-hostable platform for organizing teams of AI agents, presented as a chief agent operator. It treats agents as units of work and provides tools to create and configure agents, schedule and report on their operations, coordinate them in agent groups, and monitor shared workspaces and memory. The platform provides access to multiple models and modalities, an agent builder, a library of skills and MCP-compatible plugins, and an IM gateway for interacting with agents through existing chat services. It can be deployed using Docker or listed cloud deployment options, and is described as being under active development.

ODS is a self-hosted local AI server stack developed by Osmantic for Linux, Windows with WSL2 and Docker Desktop, and Apple Silicon macOS. Its installers detect the host hardware, select an installable model, generate credentials, and launch a preconfigured stack containing local LLM inference, Open WebUI, a management dashboard, LiteLLM, embeddings, speech-to-text, text-to-speech, agents, n8n workflows, Qdrant-based RAG, search, ComfyUI image generation, and operational and privacy tools. Local mode is the default; cloud and hybrid modes can route through OpenAI, Anthropic, or Together APIs. The stack uses a bootstrap model so chat can begin while the hardware-selected full model downloads in the background. A manifest-based extension system discovers service folders and merges their Docker Compose definitions into the stack, while the `ods` CLI manages services, models, modes, configuration, presets, and lifecycle operations. The repository documents GPU and unified-memory paths for NVIDIA, AMD, Intel Arc, and Apple Silicon hardware, along with model selection, recovery, validation, and operator workflows. ODS is distributed as an Apache-2.0-licensed open-source repository and can be installed with shell or PowerShell installers. The repository identifies version 2.6.0 as its stable release and states that no cloud account or subscription is required for local operation.

omg.dev is an open-source, self-hosted parallel coding-agent harness and control plane developed by BennyKok. It runs coding-agent sessions on a local computer or hosted Computer, keeps them running when the web interface disconnects, and provides a single web UI for parallel sessions, transcript reading, follow-up instructions, chats, bots, schedules, and notifications. The project supports agents including Claude Code, Codex, Grok, Cursor, OpenCode, Jcode, GitHub Copilot, and Pi, using the user's existing agent subscriptions or API keys. Local installations run through a Bun CLI and expose the interface on localhost; remote phone access can be provided through Tailscale. The repository is licensed 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.