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@sandbaseai

SandBase AI

Open-source agent runtimes, sandboxes, MCP tooling, and installable Agent Skills.

SandBase AI

The safe runtime layer for enterprise AI agents.

SandBase helps teams move agents from demos to production with runtime infrastructure for sessions, tools, approvals, sandboxed execution, memory, audit trails, replay, and operational visibility.

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📣 Latest open-source updates: SandBase CLI v0.1.17 connects 25 AI client targets to 2,000+ models and APIs · DSH Plugin Store v0.1.0 Preview 2 adds GitHub-installable Host and Web client artifacts for DeepSeek Harness · SandBase Harness v0.3.4 is active in the official MCP Registry · SandBase Skills v0.3.4 ships 88 installable Skills as a native DeepSeek Harness bundle

Connect your coding agent

SandBase CLI detects your installed clients and configures the MCP bridge for Codex, Claude Code, Cursor, Windsurf, Gemini CLI, OpenCode, and more:

npx -y https://github.com/sandbaseai/cli/releases/download/v0.1.17/sandbaseai-cli-0.1.17.tgz connect

Preview all 25 supported client targets without signing in or changing files:

npx -y https://github.com/sandbaseai/cli/releases/download/v0.1.17/sandbaseai-cli-0.1.17.tgz catalog --json

Source · v0.1.17 release · Report an issue · Star SandBase CLI

Try it in DeepSeek Harness

Install all 88 Skills as a native DSH bundle directly from GitHub source:

dsh plugin --profile web add github:sandbaseai/sandbase-skills
dsh web

The flagship multi-source-search Skill works with host-provided search tools and needs no SandBase account. Need durable managed-agent sessions as native DSH MCP tools? See SandBase Harness v0.3.4, its official MCP Registry entry, and the DeepSeek Harness showcase.

Explore Harness · Independent self-hosting guide · Build an auditable research agent · Star Harness · Browse Skills · Star Skills

Discover DSH plugins

Browse more than 2,900 community plugins from a native Store inside DeepSeek Harness:

dsh plugin --profile web add github:sandbaseai/dsh-plugin-store

Restart DSH Web, open Settings, and select Store.

Open the project site · View source · Try Preview 2 · Star DSH Plugin Store

Operate DeepSeek Harness from evidence

When a DSH install, Session, tool call, sandbox, or plugin fails, use the independent DeepSeek Harness Handbook to find the first broken boundary. It currently provides 80 English-canonical, source-backed guides plus local browser tools that do not upload diagnostic input.

Run Install Doctor · Route a failure · Browse all guides · Star the Handbook

Why SandBase

Modern agents are no longer just chat interfaces. They call tools, run code, inspect files, browse the web, trigger workflows, and act on behalf of users.

That creates a new infrastructure problem:

  • where does generated code run?
  • which tools can the agent call?
  • who is the agent acting for?
  • what happens before a sensitive action runs?
  • how do teams observe, replay, and debug agent behavior?

SandBase is built around those runtime questions. The open-source path starts with local-first managed agents; the hosted SandBase platform adds managed sandboxes, team controls, observability, connectors, and production support.

What We Build

Area Focus
Agent runtime Sessions, event logs, replay, memory, and resumable agent execution
Tool governance MCP/tools, permissions, approval patterns, and action policies
Sandboxed execution Safer code, shell, file, browser, and workspace operations
Multi-executor support Runtime patterns that can work across Claude, OpenAI, local models, and custom executors
Observability Logs, audit trails, status, and operational surfaces for agent runs
Open resources Ecosystem maps, cookbooks, labs, and growth playbooks for builders

Featured Projects

Project What it is for
SandBase Harness Local-first TypeScript agent runtime with sandboxed execution, MCP integration, approvals, event streams, replay, DeepSeek V4 support, and a containerized MCP bridge.
SandBase Skills 88 installable Agent Skills across Codex, Claude Code, Cursor, and Gemini CLI; the flagship multi-source research workflow runs with host search tools and no SandBase account.
SandBase CLI One-command MCP onboarding for Cursor, Claude Code, Codex, Windsurf, Gemini CLI, OpenCode, and other agents, with access to 2,000+ AI models.
managed-agents Open-source, local-first managed-agent runtime with a Console, Claude Managed Agents-style resource APIs, skills, files, credential vaults, memory stores, environments, and resumable session events.
deepseek-harness-handbook Independent, agent-first field guide to DeepSeek Harness with source-backed quickstarts, architecture maps, safety boundaries, runnable examples, troubleshooting, and multilingual navigation.
DSH Plugin Store Native Community and Installed experience for discovering, filtering, installing, and managing more than 2,900 DeepSeek Harness plugin repositories.
awesome-native-agent-platforms A curated list of infrastructure, runtimes, sandboxes, browsers, model routers, and protocols for building production AI agents.
sandbase-lab-sitecheck "Can AI Get It?", a SandBase-powered website AI personality test where an agent visits a site, scores it, writes feedback, assigns personality tags, and generates a shareable card.
awesome-agent-runtime A 500-project landscape of agent runtimes, sandboxes, browser agents, MCP/tool protocols, memory layers, observability, and compute platforms.
agent-sandbox-cookbook Examples, compatibility checks, and field notes for running AI agent tools across sandboxed runtimes.
global-ai-cold-start A public case study on turning SandBase.ai from an invisible early AI infrastructure product into a searchable, developer-facing trust surface.

Start Here

Builder Topics

We care about infrastructure that helps agents act safely and reliably:

  • agent runtime and execution boundaries
  • MCP servers, tool protocols, and action schemas
  • sandboxed compute for code, shell, browser, and file operations
  • model gateways and multi-model routing
  • evals, tracing, replay, and observability
  • authorization, approvals, and pre-action policy checks
  • long-running workflows and distributed execution for agents

If you are building in this direction, we would love to learn from you.

Pinned Loading

  1. sandbase-harness sandbase-harness Public

    Local-first AI agent runtime with sandboxed sessions, MCP tools, memory, credentials, audit/replay, and a built-in console. Run OpenAI, Anthropic, MiniMax, DeepSeek V4, and OpenAI-compatible models…

    TypeScript 623 59

  2. sandbase-lab-sitecheck sandbase-lab-sitecheck Public

    TypeScript

  3. global-ai-cold-start global-ai-cold-start Public

    Python 2

  4. awesome-agent-runtime awesome-agent-runtime Public

    2

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