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ai deep-dive Meta-Harness 與 Agent 治理

One Multi-Agent Task, Four Implementations: Omnigent YAML vs LangGraph vs CrewAI vs Goose

The same Polly task — parallel git worktrees plus cross-vendor review — implemented four ways: Omnigent YAML governs at the Server layer, LangGraph controls flow with a StateGraph, CrewAI assembles roles quickly, and Goose ships a desktop Recipe, compared on tokens, latency, and maintainability.

#multi-agent#omnigent#langgraph#crewai#goose
ai deep-dive Choosing an Agent CLI

goose: Open-Source, Cross-Platform, LLM-Agnostic Local AI Agent

goose is an open-source AI Agent maintained by the Linux Foundation's AAIF, supporting 15+ LLM providers and 70+ MCP extensions, built with Rust as a Desktop App + CLI + API. It positions itself as a vendor-neutral, self-hostable alternative to Claude Code.

#goose#ai-agent#open-source#mcp#rust#linux-foundation#aaif#claude-code#cli#desktop-app