llms.txt · git:20260830.765d540 · 2026-08-30 · sha256 22ae226cb8d17c00
llms.txt git:20260830.765d540B
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# SandBase Harness > Local-first, self-hosted runtime for durable and auditable AI agent execution. - Project: https://github.com/sandbaseai/sandbase-harness - Documentation: https://github.com/sandbaseai/sandbase-harness/blob/main/docs/README.md - Installation: https://github.com/sandbaseai/sandbase-harness/blob/main/llms-install.md - Showcase: https://github.com/sandbaseai/sandbase-harness/blob/main/docs/showcase.md - Official MCP Registry: https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.sandbaseai%2Fsandbase-harness - Latest tagged release: v0.3.8 - Official DeepSeek Harness Showcase: https://github.com/deepseek-ai/deepseek-harness/discussions/1918 - Verified dshbase listing: https://dshbase.com/plugins/sandbase-harness/ - Independent self-hosting guide (SSD Nodes): https://www.ssdnodes.com/learn/self-host-sandbase-agent-runtime - Agent Runtime landscape: https://github.com/sandbaseai/awesome-agent-runtime - Verified community references: dshbase, Awesome Agents, abordage/awesome-mcp, and merged entries in awesome-agent-runtime, Awesome Agent Cortex, and Awesome AI Devtools. ## Discovery - MCP Market: https://mcpmarket.com/server/sandbase-harness - deepseek-plugin.org: https://deepseek-plugin.org/plugins/sandbaseai/sandbase-harness - DeepseekPlugin: https://deepseekplugin.org/en/plugins/sandbaseai-sandbase-harness - DSH Plugin Directory: https://dshplugin.app/plugins/sandbase-harness - DSH Plugin Hub: https://dshpluginhub.dev/en/plugins/sandbaseai/sandbase-harness - DSH Directory: https://dsh.directory/plugins/sandbaseai/sandbase-harness - DSH Harness: https://dsharness.io/en/plugins?search=sandbase-harness - DSH Plugin: https://dshplugin.me/?q=sandbase-harness - DSH Plugin: https://dsh-plugin.org/plugins/sandbaseai/sandbase-harness - Awesome repository index: https://awesome.lvtd.dev/repos/?topic=dsh-plugin - Awesome DSH Plugin: https://github.com/awesome-dsh-plugin/awesome-dsh-plugin - Awesome DeepSeek Harness: https://github.com/0xsline/awesome-deepseek-harness - Awesome DeepSeek Harness — ecosystem list: https://github.com/fendouai/awesome-deepseek-harness - DSHarness 101 Plugin Radar: https://dsharness101.com/plugins/ - DeepSeekDocs Ecosystem: https://deepseekdocs.com/en/ecosystem - Awesome Agents: https://github.com/kyrolabs/awesome-agents - Sifted Awesome AI Agents — Agent Runtime Top 100: https://github.com/sifted-network/sifted-awesome-ai-agents/blob/main/top100/Agent%20Runtime.md - Arnon-hs Open Source — MCP projects: https://github.com/Arnon-hs/open-source/blob/main/mcp/README.md - SandBase Awesome Agent Runtime: https://github.com/sandbaseai/awesome-agent-runtime - abordage/awesome-mcp: https://github.com/abordage/awesome-mcp - cccakeee/awesome-dsh-plugins: https://github.com/cccakeee/awesome-dsh-plugins - anbeime/skill — Skills index: https://github.com/anbeime/skill - Awesome DeepSeek Harness Plugins: https://github.com/Zhiyuan-Fan/Awesome-DeepSeek-Harness-Plugins - Hermes Ecosystem — SandBase stack: https://github.com/ksimback/hermes-ecosystem/blob/main/projects/sandbaseai/cli.html - AgentStack: https://www.agentstack.live/mcp/io.github.sandbaseai/sandbase-harness - MCP Servers Live: https://linny006.github.io/mcp-servers-live/r/sandbaseai/sandbase-harness/ - DSH X-Ray: https://unstone.github.io/dsh-xray/p/sandbaseai__sandbase-harness.html - DSH Plugins: https://github.com/HackSing/dsh-plugins - Awesome DSH Plugins 2026: https://github.com/Herdeny/awesome-dsh-plugins-2026 - MCP Repository: https://mcprepository.com/sandbaseai/sandbase-harness - OpenAgentSkill (code-review): https://www.openagentskill.com/skills/sandbaseai-sandbase-harness-code-review - PluginBench: https://pluginbench.com/mcp/io.github.sandbaseai/sandbase-harness - DSH Hub: https://dshhub.dev/plugins/sandbase-harness - DSH Packs: https://www.dshpacks.com/plugins/sandbaseai-sandbase-harness/ - dshbase: https://dshbase.com/plugins/sandbase-harness/ - FindHarness: https://findharness.com/plugins/sandbaseai-sandbase-harness - DSH Plugin Directory: https://dsh-plugin.github.io/directory.html - DSH Plugin Registry: https://github.com/dshplugin-app/deepseek-harness-plugins - dsh-market: https://dshmarket.com/p/sandbaseai/sandbase-harness/ - dshplugin.dev: https://dshplugin.dev/plugins/sandbaseai-sandbase-harness These independent directory pages are discovery mirrors; this repository and its release metadata remain the source of truth. ## Capabilities - Persistent agent sessions, event streams, artifacts, memory, and resumable work - Local, Docker, Kubernetes, and self-hosted worker sandbox providers - MCP toolsets and a six-tool stdio MCP bridge - Managed credentials, permission policies, approvals, audit logs, and replay - Built-in local Console and `/v1` HTTP API - OpenAI, Anthropic, MiniMax, and OpenAI-compatible model providers, including DeepSeek V4 - SQLite and file-backed local-first storage with no required hosted control plane ## MCP bridge - Docker image: `ghcr.io/sandbaseai/sandbase-harness-mcp:0.3.8` - Tools: `list_agents`, `create_session`, `run_session`, `get_session`, `list_artifacts`, `stop_session` - Runtime endpoint: `MANAGED_AGENTS_URL` (default `http://127.0.0.1:3000`) - Optional authentication: `MANAGED_AGENTS_API_KEY` ## Limits and safety - The MCP image is a bridge to a running Harness API; it is not a standalone model provider. - The local sandbox shares the host OS user boundary; use Docker or Kubernetes for stronger isolation. - Configure model-provider credentials through the runtime's environment or secret-management path; do not commit keys. ## Repository guides - Usage: https://github.com/sandbaseai/sandbase-harness/blob/main/docs/usage.md - Deployment: https://github.com/sandbaseai/sandbase-harness/blob/main/docs/deployment.md - MCP source: https://github.com/sandbaseai/sandbase-harness/blob/main/src/mcp/server.ts