by sandbaseai · MCP Server · ★ 263
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managed-agents SandBase managed-agents is the safe, local-first runtime layer for enterprise AI agents. helps teams move AI agents from demos to production with runtime infrastructure for sessions, tools, approvals, sandboxed execution, memory, credential vaults, audit trails, replayable events, and operational visibility. It exposes a Claude Managed Agents-compatible Console and resource API while keeping runtime metadata in SQLite outside your project by default. Use it to build and operate self-hosted AI agents, local developer agents, desktop agent runtimes, MCP-enabled workflows, and enterprise proofs of concept without locking your runtime layer to a single model provider. Why managed-agents? Agent SDKs are great for writing an agent loop. Production agents need more: state, session history, tool governance, sandbox boundaries, credential handling, memory, auditability, and a Console for humans to inspect what happened. focuses on that runtime layer. It is not a visual workflow builder and it is not another model SDK. It is an open-source control plane for running, observing, and governing AI agents locally or in self-hosted environments.
| Stars | 263 |
| Forks | 20 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 71.2773728944644/100 |
| Last Updated | 2026-07-24 |
| Created | 2026-07-11 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~17k |
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managed-agents is Open-source CMA-compatible agent runtime. Run multi-agent systems locally with any model (Ollama/vLLM/Claude/GPT), MCP tools, scenario templates, and a beautiful dashboard. One command start. Built fo. It is categorized as a MCP Server with 263 GitHub stars.
managed-agents is primarily written in TypeScript.
You can find installation instructions and usage details in the managed-agents GitHub repository at github.com/sandbaseai/managed-agents. The project has 263 stars and 20 forks, indicating an active community.