A team of coding agents,
working in parallel on your machine.
NeuralCode runs many agents at once — each in its own isolated git worktree. They build; you review the diff, let it self-review and test, then merge.
Fixed GitHub issue #1 (“Add a section called ‘Cipher’ for the landing page”). Added a blank section-shell with id="cipher"so it's anchor-linkable.
How NeuralCode compares
Other tools run agents in parallel. NeuralCode is the only one that chains specialists, reviews and tests its own work, and gates the merge — end to end.
| NeuralCode | Conductor | Nimblast | Vibe Kanban | Sculptor | Claude Code | Codex | |
|---|---|---|---|---|---|---|---|
| Parallel agents, isolated workspaces | |||||||
| Chained specialist agent pipeline | — | — | — | — | |||
| Auto diff review by a 2nd agent | — | — | — | ||||
| Auto-run tests + traffic-light grade | — | — | — | — | |||
| Auto-fix loop on failure | — | — | — | — | |||
| Pre-merge combined test (Preflight) | — | — | — | — | — | ||
| GitHub issue → agent | — | — | |||||
| MCP server support | |||||||
| Usage tracking + spend budgets | — | — | — | — | — | ||
| Multi-provider agents (Codex / Gemini) | — | — | — | ||||
| Enterprise (billing, org limits) | — | — | — | — |
Comparison reflects our understanding of each tool’s built-in features as of June 2026, based on publicly available information. Capabilities change quickly and “partial” means a feature is available only via a workaround or with limitations. Product names and trademarks belong to their respective owners; please verify current capabilities with each vendor.
Specialist agents, chained into a pipeline
Built-ins like /plan, /review, /test, and /pr each carry their own model, thinking budget, and permission mode. Pick a few from the picker — or type their names — and your task runs through them in order, each stage handing off to the next. You can also create your own specialized agents and add them to the pipeline.
Save a pipeline once, run it in one click
A workflow is a saved, named pipeline of agents — like /plan → /review → /test → /pr. Build it once in Settings, then apply it from the composer in a single click: it selects each agent step in order, so your next message runs straight through them. Built-ins ship ready to use, or create your own.
Read the docsWorkflows
Settings → WorkflowsMany agents, zero collisions
Every workspace is its own git worktree on its own branch, so agents run side by side without stepping on each other. Start a fix, a feature, and a refactor at once and watch them all progress.
Read the docsReviewed, graded, and auto-fixed
When an agent finishes, a second agent reviews the diff and your tests run automatically. You get a plain traffic-light verdict — green, amber, or red — and on anything but green, the issues are sent straight back to the agent to fix, up to two loops.
Read the docsTurn a GitHub issue into a working agent
Open the issues for any repo, pick one, and NeuralCode creates a workspace and starts an agent with a prompt generated from the issue — title, body, and a plan to fix it.
Read the docsCatch “breaks together” before you merge
When two or more workspaces are done, Preflight ✈ spins up isolated merges, detects conflicts, runs your tests, and does a combined run to catch changes that are fine alone but break together. You get streaming traffic-light verdicts — then merge clean branches, send a failure back to an agent, or review the overlap, all in one click.
Read the docsKnow what you’re spending, as you spend it
Set a budget per day, week, or month and NeuralCode keeps a running tally across every workspace. A live bar turns amber at 80% and red when you go over — with an over-budget banner right at the top of the app — so the cost of a long run never surprises you.
Read the docsWire in any MCP server
Add local stdio servers (command, args, env) or remote SSE/HTTP servers right in Settings, then enable the ones you want. NeuralCode writes them to a config and passes it to Claude Code with --mcp-config, so every agent gets those tools automatically.
Read the docsSee every token, set a budget
Track token usage and cost by model and by day. Set a spend budget per day, week, or month — an orange bar warns you at 80% and turns red when you go over.
Usage & spending
Built for the way you actually ship
Run agents across your whole team
Centralized billing, token-usage limits for your teams, and full visibility into usage across your organization. Talk to us about rolling NeuralCode out at scale.
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