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fabro vs squad

Rust 'software factory' for coding agents: define the SDLC as a graph, agents execute it through verification gates, you intervene only at the stages that matter. Server, runs board, sandboxes. — versus — Multi-agent terminal collaboration for AI CLIs: a manager, workers and an inspector — Claude Code, Gemini, Codex, OpenCode — coordinating through one-shot shell commands and SQLite. No daemon.

The curated verdict

Same goal — multi-agent software process with human gates — opposite weight classes: Squad coordinates AI CLIs through one-shot shell commands and SQLite with no daemon; Fabro runs a persistent server with a runs board and queued 24/7 execution.

fabrosquad
Stars1.4k609
Forks15560
LanguageRustRust
LicenseMITMIT
Last activitytoday1 months ago
Topicscoding, orchestrationcoding, orchestration
Curated connections25

fabro — the curator's take

For the team past the babysit-or-rubber-stamp dilemma: encode your process as a version-controlled workflow graph — implement with one model, cross-critique with another, gate on verification — and let the API server run it 24/7, locally or in isolated cloud sandboxes. CSS-like stylesheets for model routing is a genuinely clever cost lever. NOT a quick add-on: this is infrastructure with a server, a web wizard and a process philosophy — solo devs wanting lighter structure should look at terminal-first orchestrators first. Young project; the 'dark factory' ambition is ahead of the ecosystem's verification reality, so keep the gates strict.

squad — the curator's take

The unix-philosophy take on multi-agent coding: no daemon, no server, no framework — each agent is a terminal running the CLI you already use, coordinating through /squad slash commands backed by SQLite. Assign a manager, spin workers, add an inspector, watch them divide the work. Radically simpler to reason about than orchestration platforms, and it dies clean (every command is one-shot). NOT for production pipelines or unattended fleets — it's built for a human watching terminals; young (~600 stars) and quiet for weeks at review time, so kick the tires before making it a habit.