AI tool comparison
AMUX vs Beads
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
AMUX
Run dozens of parallel AI coding agents unattended via tmux
75%
Panel ship
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Community
Paid
Entry
AMUX is an open-source agent multiplexer that lets you run dozens of Claude Code (or other terminal AI coding agents) simultaneously, all managed from a single web dashboard — no complicated setup required. Built by the team at Mixpeek, it requires only Python 3 and tmux, with the entire server delivered as a single ~23,000-line Python file with embedded HTML/CSS/JS. The standout features are a self-healing watchdog that auto-compacts context when it drops below 20% and restarts stuck sessions, a SQLite-backed kanban board where agents atomically claim tasks to prevent duplicate work, and a REST API injected at startup that allows agents to coordinate with each other via simple curl calls. There's even a mobile PWA with offline support via Background Sync so you can monitor your agent army from your phone. In the "agentmaxxing" era, AMUX is the most complete open-source solution for running parallel AI coding agents unattended. Rather than babysitting one agent, you dispatch 5–20 agents to isolated worktrees and check back in as a reviewer. The MIT + Commons Clause license means it's free to self-host.
Developer Tools
Beads
A Dolt-powered dependency graph that gives coding agents persistent memory
75%
Panel ship
—
Community
Paid
Entry
Beads (bd) is an open-source distributed graph issue tracker built specifically for AI coding agents. Rather than relying on fragile markdown plans or context-window hacks, Beads gives agents a Dolt-powered SQL database with native branching, cell-level merging, and dependency-aware task graphs — so they can track complex multi-step work without losing the thread. At its core, Beads replaces the ad-hoc "write a plan.md" pattern with a real structured store. Agents create tasks, set dependencies, claim work atomically, and receive semantic "memory decay" compaction that summarizes completed tasks to keep context windows lean. Hash-based IDs (e.g. bd-a1b2) prevent merge collisions across multi-agent, multi-branch workflows. The v1.0 milestone, released in April 2026, signals production stability. With 21.5k GitHub stars, Homebrew and npm distribution, and support across macOS, Linux, Windows, and FreeBSD, Beads is rapidly becoming the default memory layer for teams running agent swarms that need to coordinate without stepping on each other.
Reviewer scorecard
“This is exactly what the agentmaxxing workflow needs. Single Python file, no external services, and the kanban board preventing duplicate agent work is genuinely clever engineering. The self-healing watchdog alone saves hours of babysitting stuck sessions.”
“This solves a real pain point I hit every time I run multi-agent loops — agents clobbering each other's work. Dolt as the backend is smart: you get SQL semantics, branching, and merge without standing up anything exotic. The `bd ready` command alone justifies the install.”
“MIT + Commons Clause isn't really open source in the traditional sense — you can't build a commercial product on top of it. Also, coordinating 20+ agents that all share Claude Code rate limits means you'll hit API throttling walls faster than you think.”
“Dolt is a dependency most teams haven't heard of, and 'distributed SQL for your coding agent' is a steep onboarding curve for what is essentially a task tracker. If your agent loop is simple enough, a JSON file in the repo still beats this. Wait for the ecosystem to mature.”
“We're moving from one developer + one agent to one developer + agent swarm. AMUX is early infrastructure for that paradigm shift. The agent-to-agent coordination REST API hints at genuine multi-agent systems emerging from terminal tooling.”
“The shift from 'agent with a scratchpad' to 'agent with a version-controlled, branching task graph' is significant. Beads is early infrastructure for the multi-agent software factory — the kind of coordination layer that will be table stakes in 18 months.”
“The web dashboard with live terminal peeking is surprisingly polished for a side project. Being able to monitor your agent army from a mobile PWA while away from the desk is a genuinely practical touch.”
“As someone who runs Claude Code sessions for creative pipelines, the semantic memory compaction is the killer feature — it means long projects don't have to start fresh every session. The CLI UX is clean too.”
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