by sandbaseai · MCP Server · ★ 649
managed-agents A local-first runtime for AI agents. Sessions, sandboxed tools, memory, credentials, audit trails, and a built-in Console — all running on your machine or in your own infrastructure. Why Agent SDKs handle the model loop. Production agents need more: persistent sessions, tool governance, sandbox boundaries, credential handling, memory, auditability, and a UI for humans to inspect what happened. is that runtime layer — not a visual workflow builder and not another model SDK.
| Stars | 649 |
| Forks | 69 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 76.0138638780136/100 |
| Open Issues | 22 |
| Last Updated | 2026-09-22 |
| Created | 2026-07-11 |
| Platforms | docker, k8s, mcp, node |
| Est. Tokens | ~16k |
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sandbase-harness is Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.. It is categorized as a MCP Server with 649 GitHub stars.
sandbase-harness is primarily written in TypeScript. It covers topics such as agent-harness, agent-observability, agent-plugin.
You can find installation instructions and usage details in the sandbase-harness GitHub repository at github.com/sandbaseai/sandbase-harness. The project has 649 stars and 69 forks, indicating an active community.
sandbase-harness is released under the Apache-2.0 license, making it free to use and modify according to the license terms.