sandbase-harness vs deepchat
AI agent runtime and desktop workspace compared
sandbase-harness provides a self-hosted runtime for persistent AI agent sessions, governed tools, and sandboxed execution. deepchat is a cross-platform desktop app for chatting with cloud or local models and using agents; the main difference is runtime infrastructure versus an end-user workspace.
sandbase-harness: Run Self-Hosted AI Agents with Sandboxed Tools
SandBase Harness is a local-first AI agent runtime and MCP bridge, with a built-in Console and Anthropic Claude Managed Agents-style API. It provides sessions, sandboxed tools, memory, credential controls, and audit and replay on your own machine or infrastructure.
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.
| sandbase-harness | deepchat | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 639 | 6.4k |
| Forks | 80 | 756 |
| Last analyzed | Oct 19, 2026 | Oct 18, 2026 |
Key differences
- sandbase-harness focuses on managing agent sessions, tool permissions, credentials, execution environments, and audit history; deepchat brings conversations, agent tools, and session history together in a desktop app.
- sandbase-harness offers a local Console, `/v1` API, and MCP bridge; deepchat offers a graphical workspace with Skills, compatible ACP agents, and messaging-based session control.
- sandbase-harness can run locally or in Docker, Kubernetes, or self-hosted worker sandboxes; deepchat runs on Windows, macOS, and Linux and connects to cloud providers or local Ollama models.
- sandbase-harness is aimed at developers and platform or security teams operating agents; deepchat is aimed at people who want model and agent workflows in a desktop workspace.
- Both projects use TypeScript and Apache-2.0 licensing. sandbase-harness has 681 stars and 76 forks, while deepchat has 6.4k stars and 747 forks.
Choose sandbase-harness if you…
- need a persistent agent runtime with event replay and audit history.
- want to govern tool access with policies, credentials, and approvals.
- need to run agents in local or self-hosted execution environments.
Choose deepchat if you…
- want a desktop app for cloud and local Ollama models.
- need a workspace with MCP tools, reusable Skills, or compatible ACP agents.
- want to inspect or resume sessions from the app or configured messaging channels.
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.