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An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.
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Tensorlake is a serverless runtime for sandboxes and deploying background agentic applications
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A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scalable deployment, full-stack observability, and broad framework compatibility.
Security Governance for Agentic AI
local multi-agent harness
A coding agent and general agent harness for building and orchestrating agentic applications.
🤖 MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.
Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.
The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.
🛡️The governance runtime for AI agents. Intercept actions, enforce guard policies, require approvals, and produce audit-ready decision trails.
Tandem is the authority layer between AI agents and company tools: runtime policy for tools, memory, approvals, and audit trails.