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Agent Harness

Agent harnesses are the runtime scaffolding around AI agents. They usually combine context delivery, tool interfaces, planning state, memory, sandboxes, permissions, evaluation, and observability so agents can complete longer tasks reliably. Agent harnesses are especially common in coding agents, research agents, and multi-agent workflows where repeatability, safety, and traceability matter.

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HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.

  • Updated Oct 2, 2026
  • Python

ViNote(视记AI)|DeepSeek Harness SDK 驱动的开源视频知识 Agent。以工具编排、SQLite 会话恢复和流式交互,串联 YouTube / Bilibili 检索、下载、转写与笔记生成,支持视频问答、知识卡片和思维导图。FastAPI + React,支持 OpenAI 兼容接口模型。

  • Updated Sep 5, 2026
  • Python

Veldra — talk an agent into existence, then watch it grow. A self-hostable, local-first agent platform: describe what you need in plain language and it compiles a working agent tools, MCP, RAG, teams. The more you use it, the better it gets agents learn from your feedback and reshape as you talk.

  • Updated Jun 18, 2026
  • Python