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sandbase-harness

Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.

Actively maintained
100/100
last commit 7 days ago
last release about 1 month ago
releases 9
open issues 6
// star history

Install with your AI

Paste into Claude Code, Cursor, or any agent — it reads the repo and wires the tool into your project.

Install and set up sandbase-harness (git-clone project) into my current project.
Found on https://claudeers.com/sandbase-harness
Repo: https://github.com/sandbaseai/sandbase-harness
Homepage/docs: https://github.com/sandbaseai/sandbase-harness/blob/main/docs/installation.md
Detected install method: git-clone → git clone https://github.com/sandbaseai/sandbase-harness
Category: mcp-servers. Platforms: cli, api, web.
Read the repo's README for exact setup and env vars, then install it and wire it into my project.

Claudeers Health Verdict:
active; community-verified: false. Confirm the source before running anything.
// or clone
git clone https://github.com/sandbaseai/sandbase-harness

// compatibility

Platformscli, api, web
Operating systems—
AI compatibilityclaude
LicenseApache-2.0
Pricingopen-source
LanguageTypeScript

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SandBase Harness

English | 中文

AI-readable project metadata: llms.txt · installation guide

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.

Building with DeepSeek Harness? The independent DeepSeek Harness Handbook provides source-backed runtime guides, multilingual troubleshooting, and a regularly updated Agent-first resource map.

SandBase Harness architecture

Looking for a lightweight bridge instead of a full runtime? SandBase CLI connects 25 AI client targets to 2,000+ models and APIs through a local stdio MCP bridge. If it fits your workflow, star SandBase CLI so other agent users can discover it.

Need hosted model and media APIs instead? SandBase provides one interface for LLM, image, and video generation APIs, with the API quickstart covering keys and first calls.

git clone --branch v0.3.8 --depth 1 https://github.com/sandbaseai/sandbase-harness.git
cd sandbase-harness
npm ci
npm run build
mkdir ../my-agents && cd ../my-agents
node ../sandbase-harness/dist/index.js init
node ../sandbase-harness/dist/index.js start
# open http://127.0.0.1:3000/dashboard

Choose SandBase Harness when you need more than a model loop:

NeedWhat Harness provides
Run generated code safelyLocal, Docker, Kubernetes, and self-hosted worker sandboxes
Inspect long-running agentsPersistent sessions, resumable event streams, audit, and replay
Control tool accessMCP toolsets, credential vaults, permission policies, and approvals
Operate any modelOpenAI, Anthropic, MiniMax, and OpenAI-compatible providers, including DeepSeek V4
Keep infrastructure yoursLocal-first SQLite and file storage with no required hosted control plane

If this runtime solves a real agent-infrastructure problem for you, star the repository so other builders can find it.

Find SandBase Harness

The project is also discoverable through these independent ecosystem directories:

Recently verified community references:

Pending community review:

…view the full README on GitHub.

// faq

What is sandbase-harness?

Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.. It is open-source on GitHub.

Is sandbase-harness free to use?

sandbase-harness is open-source under the Apache-2.0 license, so it is free to use.

What category does sandbase-harness belong to?

sandbase-harness is listed under mcp-servers in the Claudeers registry of Claude-compatible tools.

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