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.

npx managed-agents init
npx managed-agents start
# open http://127.0.0.1:3000/dashboard

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. managed-agents is that runtime layer — not a visual workflow builder and not another model SDK.

Features

• Claude Managed Agents-style /v1 API and local Console
• SQLite-backed agents, sessions, environments, credential vaults, memory stores, files, skills, and API keys — SQLite metadata by default
• local file/skill bytes stored in the workspace state directory
• Resumable Server-Sent Events for session replay and debugging
• One active model provider boundary configured through Settings V2
• Sandbox backends: local process, Docker (per-session containers), Kubernetes (kubectl exec/cp), self-hosted worker queue
• Settings V2: one workspace model vendor, loop engine, storage, memory, sandbox — with validation, form/JSON modes, and restart flow
• MCP toolsets, permission policies, built-in tools, and skill packages
• DeepSeek Harness bridge over MCP stdio for agents, sessions, streamed turns, artifacts, and cancellation
• TypeScript SDK at managed-agents/sdk
• Release gate: npm run release:check

Screenshots

Console overview	Settings	API reference