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Sandbase Harness
Sandbase Harness is an AI agent runtime providing persistent sessions, sandboxed tool execution, and a console for managing LLM interactions locally.
SandBase Harness is a local-first runtime for AI agents designed to handle the infrastructure layers outside of the model loop. It manages persistent sessions, sandboxed tool execution, credential handling, and memory while providing an audit trail for all agent activity. The system supports various model providers including OpenAI, Anthropic, MiniMax, and OpenAI-compatible endpoints. Users can run the runtime on their local machine, inside Docker containers, or on Kubernetes clusters. The platform offers a built-in console for human inspection and interaction, and developers can integrate it via the provided /v1 API or the official TypeScript SDK. It provides specific governance through MCP toolsets and permission policies.
Sandbase Harness at a glance
Key features
- Supports OpenAI, Anthropic, MiniMax, and compatible model providers
- Provides persistent, resumable sessions with event streaming
- Enables secure code execution via Docker, Kubernetes, or local sandboxes
- Offers a local console for agent inspection and session management
- Includes a built-in credential vault and memory storage
- Implements MCP toolsets with configurable permission policies
- Features a /v1 API compatible with standard LLM clients
Use it for
- Running auditable coding agents for software development
- Executing code within isolated Docker or Kubernetes sandboxes
- Managing interactive sessions with DeepSeek Harness
- Developing AI agents with persistent memory and tool access
Alternatives to Sandbase Harness
- HarnessRouter — One API to manage agent runtimes, sandboxes, and execution lifecycles.
- Exo Harness — Separates trusted state and security from agent logic for safe execution.
- LongHorizon Harness — Maintains durable task state and executes reliable, verifiable workflows over many hours.
- DeepSeek Harness — Builds on a plugin architecture to organize documents, analyze tables, and write code.
- Browser Harness — Agents edit their own helper scripts mid-task to improve task completion.
- Sandcastle — Orchestrates AI coding agents in isolated Docker, Podman, or Vercel sandboxes.
- Composio — Equips AI agents with tools, managed user auth, and sandboxes across 1,500+ apps
- Penguin Harness — It builds complete agent applications autonomously from scratch with recursive self-improvement.
- Agent Sandbox — Provides a secure and isolated execution layer for autonomous AI agents.
- Harness Meta-Skill — Generates specialized agent teams and skills for Claude Code from a single prompt.
- Daytona — It provisions sandboxes in under 90 milliseconds with full security isolation.
- Fusion Harness — Run 2 to 5 models simultaneously against the same working directory with a single-writer invariant.
All Sandbase Harness alternatives