neuron-explorer
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
Multi-frontend dashboard for AI coding agents — TUI, web, and remote OpenShell sandboxes. Discover, trace, annotate, and manage Claude and Codex sessions.
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Multi-frontend dashboard for AI coding agents — TUI, web, and remote OpenShell sandboxes. Discover, trace, annotate, and manage Claude, Codex, and Gemini sessions.
Taken from the repository README
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aimux
Tame the agent sprawl.
See all your agents. Trace what they did. Judge if it was good.
One agent just silently deleted your auth config. Another rewrote 47 files. aimux shows you exactly what happened, and lets you judge if it was good.
Requires tmux. Auto-discovers running Claude and Codex agents.
See everything. Live trace of every prompt, response, and tool call as agents work. Watch file edits, bash commands, and API calls turn by turn.
Judge quality. Label turns GOOD, BAD, or WASTE. Add notes. Build eval datasets from real production sessions, not synthetic benchmarks.Read the full README ↗One agent just silently deleted your auth config. Another rewrote 47 files. aimux shows you exactly what happened, and lets you judge if it was good.
brew install zanetworker/aimux/aimux
aimux # terminal dashboard
aimux web # browser dashboard at localhost:9090
Requires tmux. Auto-discovers running Claude and Codex agents.
See everything. Live trace of every prompt, response, and tool call as agents work. Watch file edits, bash commands, and API calls turn by turn.
Judge quality. Label turns GOOD, BAD, or WASTE. Add notes. Build eval datasets from real production sessions, not synthetic benchmarks.
Export anywhere. OTEL to MLflow or Jaeger for evaluation pipelines. JSONL to disk for offline analysis. Your annotations become feedback assessments.
Zero setup. No config, no instrumentation, no SDK. Run aimux and it finds every running agent on your machine.
Discovery & Monitoring
Tracing & Code Review
Two Interfaces
Agent Management
aimux is built for AI agents. Commands support --json for structured output (the mcp proxy commands and remote serve print text, and chat --json streams JSON lines), errors include valid values, and agent-context dumps the full CLI contract.
aimux agents --json # discover running agents
aimux sessions --list --json --limit 5 # search past sessions
aimux spawn claude --dir ./proj --wait --json # start and wait for completion
aimux agent-context # full CLI schema for agents
aimux profile save work --provider claude # save reusable config
aimux feedback "the X flag doesn't work" # report friction
aimux chat <session-id> "next step?" # continue an idle Claude session
aimux mcp proxy serve # lazy, shared MCP servers for all sessions
aimux remote serve # your sessions from other devices (API, phone web client at /app/, approval notifications), via tailscale serve
See Agent Usage for the full guide and SKILL.md for agent workflow recipes. The remote API's contract, for building clients, is api/remote-v1.openapi.yaml (each server also serves it at /v1/openapi.yaml).
Full documentation at zanetworker.github.io/aimux
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