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An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skills and subagents, it handles different levels of tasks that could take minutes to hours.
The Ultimate Multi-Agent Harness for Google Antigravity. Orchestrate 6 specialized agents via Serena Memory. Parallel CLI execution, real-time observability, and zero-config skills.
A lightweight harness designed to be simple to use, efficient, universially compatible with any coding agent to evaluate them over a broad set of coding tasks and languages.
Production-validated SAFe multi-agent development methodology with Claude Code. Treat AI agents as specialized team members (11 roles: BSA, Architect, QAS, etc). Complete whitepaper + working template.
Loom is a harness stack, primarily for local LLMs, to finish complex tasks. It decomposes work, drives execution through a verified harness, and keeps models on track with structured state instead of chat history. It can route between thinking and acting models, verifies outputs, and exposes a TUI/API/CLI/MCP for both humans and agents.
"Extend with llm, stabilise with code" - Prompts when you're exploring, Python when you're certain. Workers and tools form one function space—refactor between them.