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OpenSwarm is a free AI desktop for Mac that places multiple AI agents on an infinite canvas. Each agent can have its own browser, apps, and tools for delegated multi-step research, outreach, and operations. It supports bringing your own models and API keys; the website says the product is available through a free early-access waitlist.

OpenHuman is a local-first personal AI system from tinyhumansai that combines persistent memory, agent orchestration, and research tools. It stores a user's data as scored Markdown trees in SQLite on the local machine and mirrors the result to an editable Obsidian vault; its TokenJuice component compresses tool output before it reaches the language model. Its orchestration layer runs checkpointed, durable agent workflows and worker fleets on graphs, with triggers, approvals, steering, halting, and replay support. The system also provides web search, scraping, coding tools, a browser, native voice through in-process Whisper, model routing, messaging integrations, and support for provider keys or fully local Ollama models. The repository describes it as an early beta under active development.

PandaCode is a free, open-source desktop workspace for running coding-agent CLIs alongside projects, Git, a terminal, and a browser in one window. It supports harnesses including Claude Code, Codex, Kimi Code, OpenCode, GitHub Copilot CLI, Cline, Kilo Code, Pi, Devin CLI, and others, with per-task harness, model, and reasoning selection. The app provides task boards, parallel agent teams, project worktrees, diffs and approvals, bot access through Telegram, Slack, Discord, WhatsApp, or a local web chat, cloud and local sandbox runs, deployment tasks, GitHub issue and pull-request workflows, and simulator integrations. It communicates with providers through their coding CLIs or documented protocols, including ACP, Pi RPC, and Muse's MSP, while storing projects, conversations, and settings locally in SQLite. PandaCode is built with Tauri 2, Rust, SQLite, and plain TypeScript, using the operating system's webview rather than bundled Chromium or an embedded editor engine. The repository states that it has no account requirement, telemetry, or analytics; provider prompts and credentials are sent only to services selected by the user. It distributes builds for macOS, Windows, and Linux and is licensed under the PandaCode License, an MIT license with an attribution requirement for public or commercial forks.

LLM Space v4 is a local-first desktop workbench for prototyping and developing AI agents. It lets users version prompts, system messages, tools, and model settings; trace each model call and tool run in an agent loop; replay historical runs to debug failures; and evaluate agent performance across runs. It can generate prompts and tools with AI and turn a thread into a runnable LangGraph agent. Threads, project files, and API keys remain on the user's computer, while the project describes the app as cloud-ready for managed agents. The desktop application uses Electrobun with a React, Tailwind CSS, and shadcn/ui interface, and is built as a Bun monorepo around Pi Agent Core.

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.