API keys or supported subscriptions
The Verifiable Coding Agent Runtime.
Run verifiable engineering loops with control, alignment, and confidence.
Define stages, checks, gates, tools, artifacts, and approvals. Atomic enforces the process and leaves every run with auditable artifacts.
Runtime first. Loops on top.
Atomic is the runtime. Loops are the repeatable agent systems you build on it. Workflows are how Atomic makes loops executable: stages, tools, prompts, checks, artifacts, gates, and approvals.
Describe a loop in natural language or define it as a workflow in TypeScript. Atomic runs that loop as one controlled run and makes the work verifiable by design.
Define the process.
Name the stages, tools, prompts, checks, artifacts, gates, and approvals the agent must follow.
Run it on Atomic.
Atomic bounds each stage, scopes instructions and context, enforces checks, and pauses for human approval when required.
Inspect auditable artifacts.
Every run leaves the diff, check output, reviewer notes, logs, and artifacts needed to trust the result.
Workflows make loops executable.
Put the process in a file. Review it, version it, and run it from the repo with scoped stages, checks, gates, tools, artifacts, and approvals.
Read workflow file syntax
import { workflow } from "@bastani/workflows"; import { Type } from "typebox"; export default workflow({ name: "ship-feature", description: "Plan, build, and gate with dual reviewers.", inputs: { task: Type.String({ description: "Feature or fix to ship." }), }, outputs: { result: Type.String({ description: "Implementation summary." }), }, run: async (ctx) => { const planPath = ".atomic/workflows/runs/ship-feature/plan.md"; await ctx.task("planner", { prompt: `Create a concise plan for: ${String(ctx.inputs.task)}`, output: planPath, }); const result = await ctx.task("build", { prompt: [ `Plan artifact: ${planPath}`, "Read it, implement it, then run tests and lint.", ].join("\n"), reads: [planPath], }); await ctx.parallel([ { name: "review-gpt-5.5", prompt: "Review the final diff before PR handoff.", model: "openai/gpt-5.5:xhigh", }, { name: "review-opus-4.8", prompt: "Review the final diff before PR handoff.", model: "github-copilot/claude-opus-4.8 (1m):xhigh", }, ], { concurrency: 2, failFast: false }); if (await ctx.ui.confirm(`Open PR?\n\n${result.text}`)) { await ctx.task("ship", { prompt: "Open a draft PR" }); } return { result: result.text }; }, });
Verifiability is enforced runtime structure plus auditable artifacts.
Ask Atomic chat for status during a run, or inspect the artifacts and gates when it stops.
A run can use the tools your repo already has.
Atomic is not a closed integration catalog. Runtime-enforced workflows can use CLIs, MCP servers, APIs, scripts, skills, sub-agents, and TypeScript extensions.
CLIs, MCP, web access, or custom tools
Pull issues, route follow-ups, post summaries
Use the CLIs already installed in your workspace
Investigate incidents with traces, logs, and state
Drive browsers, record proof, and check flows
Use gh, docker, kubectl, test runners, and project scripts.
Attach authenticated systems without baking them into the core runtime.
Load focused expertise for research, debugging, tests, UI work, and review.
Drop TypeScript under .atomic/extensions/ to add tools, providers, commands, and UI.
Use Atomic for repeatable agent systems with real done criteria.
These are the loops teams run on Atomic when they need control, alignment, confidence, and proof from every run.
Coding loops
/workflow ralph Research, plan, implement, test, review, and ship with scoped stages, enforced checks, and auditable artifacts.
Auto-research loops
deep-research-codebase Gather context, fan out analysis, synthesize findings, and write reports that can be inspected later.
Developer assistant loops
team assistant Run recurring tasks with memory, tools, checkpoints, and approval instead of re-prompting the same process.
Issue triage loops
triage workflow Classify, reproduce, deduplicate, route, prioritize, and draft fixes with review gates before handoff.
Content and research pipelines
publish workflow Collect sources, analyze, draft, review, and publish while preserving artifacts and approvals.
Internal ops agents
ops workflow Run repeatable internal processes with controlled tools, approvals, logs, and a clear audit trail.
Engineering automation
automation workflow Automate migrations, release prep, QA, docs, incidents, and compliance with runtime-enforced process.
Custom agent products
atomic SDK Build products on Atomic’s runtime, SDK, tools, and workflows when your agent needs verifiable execution.
Define the process. Run verifiable agent work.
Install once, run atomic in a repo, then sign in with /login or an API key. Use /atomic for setup, or /workflow ralph for feature work that needs a spec, checks, auditable artifacts, and a review gate.
Frequently asked questions.
Atomic is the verifiable coding agent runtime. It runs controlled, instruction-following agent work with scoped stages, checks, artifacts, checkpoints, subagents, review gates, and human approvals. Quick interactive tools are still the right fit for one-off edits.
Use those for quick interactive sessions. Use Atomic when the work needs a runtime-enforced process: repeatable stages, saved artifacts, tests, lint, reviewer passes, approvals, and a review gate before handoff.
Markdown documents the process. Atomic runs it: stages, inputs, tools, prompts, checks, artifacts, gates, approvals, and handoffs are part of the run instead of another checklist the agent has to remember.
Atomic makes the workflow structure explicit and repeatable. The selected model still generates the code and text, so model output itself can vary; trust comes from enforced structure, evidence, and review.
Open Atomic chat and ask for the workflow status. Atomic can summarize the current stage, progress so far, artifacts, token usage, estimated cost, logs, failures, and anything waiting on you.
Atomic is built around repo workflows: specs, research, plans, branches, diffs, tests, lint, auditable artifacts, reviewers, gates, and workflow files instead of a generic agent graph you have to adapt to coding work.