neuron-explorer
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
Write a spec once, launch competing implementations, let one agent judge another, and merge the diff that survives review.
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Aigon is a local, open-source, spec-first software-delivery orchestrator for coding agents. It takes a Git-backed feature spec through isolated implementation, cross-agent review, and merge—using the agents and subscriptions you already have.
Taken from the repository README
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Aigon is a spec-driven multi-agent harness — orchestrate Claude Code, Antigravity CLI, Codex CLI, and GitHub Copilot CLI from one Kanban board, one CLI, or one slash command.
One Kanban for many agents — on real branches, in real worktrees, against real specs.
▶ Watch the 3-minute intro on YouTube
Beta: Aigon is early-access software. APIs and config formats may change between releases. Use it, file issues, and expect rough edges. Stable release coming soon.
Aigon is an open source project by Sen Labs. Follow aigon.build for updates.Read the full README ↗Beta: Aigon is early-access software. APIs and config formats may change between releases. Use it, file issues, and expect rough edges. Stable release coming soon.
Aigon is an open source project by Sen Labs. Follow aigon.build for updates.
Aigon is a spec-driven harness for orchestrating multiple AI coding agents on the same codebase. Each feature is a Markdown spec in git; each agent runs in its own git worktree under tmux; the lifecycle moves through inbox → backlog → in-progress → review → done on a local Kanban board. Aigon doesn't try to be a model — it orchestrates a growing list of agent CLIs as engines.
You work with Aigon from wherever you already are: a web dashboard on localhost, slash commands inside your agent (Claude Code, Antigravity CLI, Codex CLI, Cursor, OpenCode, Kimi, Amp, GitHub Copilot CLI), or direct CLI commands in your terminal. All three surfaces read and write the same Markdown specs in your repo — no SaaS account, no vendor lock-in, no proprietary state.
It works with the AI coding tools you already use:
cc)ag)cx)cu)op)km)am)cp)Mix and match. Aigon doesn't care which model writes the code — it just manages the workflow around them.
Prerequisites: Node.js 18+, Git 2.20+, and tmux (for Fleet/worktree mode). See the Getting Started guide for platform-specific install instructions.
# Install aigon globally (beta)
npm install -g @senlabsai/aigon@next
# First-time setup — installs agent CLIs, configures terminal,
# starts the dashboard. Auto-launches on first aigon command, or
# run it explicitly:
aigon setup
# Bring aigon into your project
cd /path/to/your/project
aigon apply # Bootstraps .aigon/, kanban folders, hooks
aigon install-agent cc # Install the Claude Code agent (others: ag, cx, cu, op, km, am, cp)
aigon doctor # Verify environment
Aigon gives you three surfaces over the same Markdown specs in your repo. Pick the one that fits the moment — the state is identical across all three.
The dashboard is the daily command center. It's always-on after aigon setup and gives you the Kanban view of every feature, research topic, and piece of feedback across its lifecycle:
aigon server start # Starts at http://localhost:4100
Open the dashboard, click "New Feature", write a one-line description, and drag the card from inbox → backlog → in-progress. Click an agent button (cc, cx, cu, …) and a worktree spins up with a live tmux session you can attach to. Watch progress in the Monitor tab, review the diff in the in-evaluation column, and merge with one click. No commands to memorise.
The Reports tab shows cycle time, commits per feature, and rework ratio across your whole pipeline. Telemetry breaks down token spend per agent and activity. Open it on your phone over LAN or Tailscale to check in from the couch.
If you're already in Claude Code, Antigravity CLI, Codex, Cursor, OpenCode, Kimi, Amp, or GitHub Copilot CLI, drive Aigon from where you are. The fastest path is /aigon:feature-now:
/aigon:feature-now dark-mode
Add a dark mode toggle with system preference detection, persist
the choice in localStorage, and default to the system preference.
That one command creates the spec, assigns an ID, creates a feature branch, and starts implementing — all in your current repo, using your default agent. You stay in the agent the whole time.
For terminal-first workflows or scripting, drive Aigon by command. feature-create writes a bare spec from your description and launches Claude Code (cc) interactively with the drafting context pre-loaded:
aigon feature-create dark-mode --agent cc "dark mode toggle with system preference detection, persisted in localStorage"
You have a real conversation with the agent — it asks clarifying questions, proposes user stories and acceptance criteria, you push back and iterate, and when you're satisfied you exit the session. The drafted spec lands in docs/specs/features/01-inbox/ for a final review. When you're happy with the draft, move it forward:
aigon feature-prioritise dark-mode # Assigns an ID, moves to backlog
aigon feature-start dark-mode cc # Single-agent Drive mode in a worktree
# or
aigon feature-start dark-mode cc cx # Fleet mode — Claude and Codex race the implementation
aigon feature-eval dark-mode # Compare results, pick the winner
The Aigon dashboard shows features across their full lifecycle — inbox → backlog → in-progress → in-evaluation → done — with live agent session status, commit activity, telemetry, and the repo-wide All Items index for features, research, and feedback.
Full documentation lives at aigon.build/docs:
Apache License 2.0 — Copyright 2025–2026 Sen Labs