holaOS vs deepchat
Local-first AI agent desktop workspaces compared
holaOS and deepchat are Electron-based desktop projects for working with AI agents and models locally alongside connected tools. holaOS centers on a shared workspace for agents, apps, and team context, while deepchat brings models, agent runtimes, and recoverable sessions into a desktop client with remote messaging control.
holaOS: Build a Local-First Workspace for AI Agents
holaOS is an Electron desktop workspace that puts agents beside apps, chat tools, files, and integrations, with shared local memory. It suits teams that want to customize how agents work across their existing systems while keeping workspace data on their machines.
deepchat: Local-First AI Agent Desktop Client with Electron
DeepChat is a local-first AI agent desktop client built with Electron and Vue for Windows, macOS, and Linux. It brings model providers, agent tools, Skills, MCP, ACP agents, and remote messaging control into one app.
| holaOS | deepchat | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | — | Apache-2.0 |
| Stars | 11.4k | 6.4k |
| Forks | 728 | 756 |
| Last analyzed | Oct 10, 2026 | Oct 18, 2026 |
Key differences
- holaOS is designed to place agents beside interactive apps and shared workspace memory; deepchat focuses on model access, agent sessions, and inspectable Tape history.
- holaOS supports sharing tools, skills, apps, and memory across agent choices; deepchat emphasizes installing reusable Skills and connecting ACP-compatible agents.
- holaOS describes local workspace files and memory, while deepchat highlights local and cloud models, session traces, and remote control through messaging apps.
- holaOS is built with TypeScript and Electron; deepchat uses TypeScript, Electron, and Vue and is available for Windows, macOS, and Linux.
- holaOS uses a modified Apache 2.0 license with additional commercial-distribution and branding conditions; deepchat uses Apache-2.0.
- holaOS has 11.4k stars and 728 forks; deepchat has 6.4k stars and 756 forks.
Choose holaOS if you…
- need agents to work alongside your existing apps, chat tools, and systems in a shared workspace.
- want workspace memory stored as local files that you can inspect and edit.
- want to customize agent workflows and share tools and memory across supported agents.
Choose deepchat if you…
- want to manage cloud and local Ollama models in one desktop client.
- need inspectable session history, tool traces, and support for resuming long-running work.
- want to control desktop sessions remotely through supported messaging apps.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.