Features

The agentic workspace, not just a control panel

New in v2.1 — The Multi-Agent Ops Layer

Live runs registry • File attribution per dispatch • Cross-runtime regression detection • File history modal • Honest concurrent attribution • Configuration impact ledger

Live runs panel — See every in-flight dispatch with agent slug, runtime, workspace, and elapsed time. Kill stuck dispatches with one click — no more reading every terminal buffer to find the runaway. Shows up the moment you fire something via Quick Test, the chat pane, scheduled cron, or MCP run_agent.
File attribution per dispatch — Every run captures the list of files touched in the project root via mtime-snapshot diff. Works across every runtime since it’s filesystem-level, not stream-parsing. Click any file in the dashboard to see every dispatch that ever touched it — agent, runtime, timestamp, prompt summary, sibling files.
Cross-runtime regression detection — Switch @reviewer from Sonnet 4.6 to Opus 4.7 and the dashboard flags “success rate dropped 17pp across 412 conversations.” Joins the configuration-change ledger with trace windows automatically. Severity-tagged: regressions first, improvements second, neutral hidden by default.
Honest concurrent attribution — When two agents dispatch into the same workspace, the OS gives us mtimes, not PIDs. Instead of pretending we can disambiguate, ATO tags the run as “ambiguous × N” with peer agent slugs. Truth over false confidence.
External agents — Build customer-facing chatbots in the same IDE you use for daily ops. Bundle generators for Cloudflare Worker, Vercel Edge, Docker, and standalone Node. 9 chat-LLM providers. Embed widget bundled with every deploy. Customer’s API key, customer’s infra — ATO never holds inference compute.
Dynamic prompts that adapt at fire time — Reference {user_name}, {project_root}, {recent_orders} in your system prompt. Resolvers: static, env, project path, file, database query, MCP call, computed JS.
Sequential automation pipelines — One prompt fires the whole workflow. Each child runs on its own runtime, so Claude → Codex → Gemini chains work natively. Routed groups + visual graph editor for specialist routing.
15+ providers, 6 native runtimes — Claude Code, Codex, Gemini CLI, OpenClaw, Hermes, Ollama + Anthropic, OpenAI, Google AI, Mistral, Groq, xAI, Together, Fireworks, DeepSeek, Qwen, MiniMax, Kimi, GLM, Yi via API key.

Insights · Live runs · 3 in flight

                                    @code-writer
                                    CLAUDE
                                    14s
                                

📁 ato/repo-a

                                    @security-reviewer
                                    CODEX
                                    8s
                                

📁 ato/repo-a · ⚠ ambiguous ×1

                                    @docs-summarizer
                                    GEMINI
                                    2m 04s
                                

📁 ato/docs-site

3 dispatches across 3 runtimes · 2 sharing repo-a · click any file in trace history for cross-run lineage

Multi-Runtime Context

Per-runtime context breakdown. Switch between Claude, Codex, OpenClaw, and Hermes to see what each agent has loaded. Skills shown as on-demand — not counted in the total.

Runtime tabs: Claude / Codex / OpenClaw / Hermes
"Not connected" state for uninstalled runtimes
Color warnings at 75% and 90% usage

Context Usage 67,234 / 200,000 tokens · 33.6%

System (30K) Skills (12K) MCP (8K) CLAUDE.md (5.2K) Conversation (12K) Free (132.8K)

Skills Manager + Marketplace

Manage skills across all runtimes with per-runtime tabs. Browse the marketplace, install community skills, or ask AI to create one for you.

Per-runtime tabs: Claude / Codex / OpenClaw / Hermes
AI skill creation: describe what you want, AI writes it
In-app approval dialog for file saves

code-review.md

2,340 tokens

testing-patterns.md

1,876 tokens

api-conventions.md

3,102 tokens

⚠ legacy-rules.md

conflict

Automation Builder

Visual workflow editor that auto-detects flows from your installed skills. Any skill with Step or Phase headers becomes a visual automation.

Auto-generates flows from skill content
Per-node runtime selection (mix agents)
Run workflows with one click

Today

45,230

$0.68 estimated

Burn Rate

12.4K/hr

~6.2h to limit

This Week

312K

$4.68 total

This Month

1.2M

$18.40 total

Scheduled jobs

Pick an agent (or a routed/sequential group) and a schedule. The agent’s system prompt, variables, hooks, memory, and skills all fire on every run — not just a raw prompt.

Agent / Group / Raw dispatch — agent-based by default
Friendly schedule presets (every weekday 9am, hourly, every 15 min…) or full cron expression
Wake-from-sleep on every desktop OS — launchd on macOS, systemd --user timers on Linux, Task Scheduler on Windows. Jobs fire even when ATO is closed.
Calendar view: click a day to see output or error; smart silent-failure detection

filesystem

stdio 12 tools 23ms

github

stdio 8 tools 45ms

postgres

stdio 5 tools 120ms

slack

sse — timeout

Teams & Enterprise

Production-ready for teams and companies

LLM API Key Management

Centralized dashboard to store, rotate, and scope API keys for every major LLM provider. Keys are encrypted locally — never sent to any server.

Anthropic, OpenAI, Google, Mistral, Groq, Cohere, Together, Fireworks
Plus the Chinese providers: DeepSeek, Qwen, MiniMax, Kimi, GLM, Yi (OpenAI-compatible base URLs surfaced in-app)
One-click key rotation with masked preview, per-runtime scoping
Usage tracking: see which keys are active and how often

A Anthropic Production

sk-a...4f2x

O OpenAI GPT-4

sk-p...9k3m

G Google AI Staging

AI...7xq2

G Groq Fast

gsk...r4p1

Real-time Agent Monitor

Live dashboard showing active agent sessions, token consumption rates, runtime health, and smart alerts — across all your AI coding tools at once.

Live session tracking with 3-second refresh (Pro)
Token usage timeline charts and burn rate
Smart alerts: error spikes, high token usage, offline runtimes
Basic stats and recent sessions free for everyone

Tokens/hr

24.5K

Sessions

Avg Duration

4.2s

Errors

claude code-review session 2.1K tok · 3.4s

codex test generation 1.8K tok · 2.1s

hermes documentation update 956 tok · 1.8s

Audit Log

Complete audit trail of every action across your agentic systems. Filter by action type, resource, and time range. Export to JSON for compliance.

Track skill changes, key rotations, config updates, cron triggers
Filterable by action type and resource
Stats dashboard: today, this week, top actions
One-click JSON export

skill.create — code-review.md 2m ago

config.update — claude runtime 5m ago

cron.trigger — daily-backup 1h ago

secret.delete — old-api-key 3h ago

SSO & Enterprise Auth PRO

Connect your company's identity provider. Google Workspace, Okta, Microsoft Entra, or any OIDC provider — with domain restriction and auto-provisioning.

Google Workspace, Okta, Microsoft Entra built-in
Any custom OIDC provider via URL config
Domain restriction: only @company.com can join
Auto-provision users on first SSO login

SSO Providers

Google

Active

Microsoft

Configure

Okta

Configure

MCP Server

Cross-runtime, by protocol — 17 tools

Every ATO agent is exposed as an MCP tool. Any MCP-aware runtime — Claude Code, Codex, Cursor, others — can dispatch to any ATO agent regardless of which runtime owns it.

$ npx ato-mcp # Add to ~/.claude/settings.json: { "mcpServers": { "ato": { "command": "npx", "args": ["ato-mcp"] } } } # Agent dispatch (cross-runtime) ✓ list_agents — All ATO agents + groups ✓ run_agent — Dispatch to any agent or group, transparently # Context & Usage ✓ get_context_usage — Context window breakdown ✓ get_usage_stats — Token and cost analytics ✓ get_mcp_status — MCP server health # Skills Management ✓ list_skills — All skills with token counts ✓ toggle_skill — Enable/disable skills ✓ get_skill_index_stats — Index & watcher status ✓ rescan_skills — Force full rescan # Runtime Health ✓ get_runtime_status — Check any runtime ✓ get_all_runtime_statuses — All runtimes at once ✓ get_agent_logs — Execution logs / traces ✓ get_runtime_path_cache — Cached CLI paths ✓ refresh_runtime_paths — Re-discover CLIs ✓ set_runtime_path — Manual CLI path # Cache Management ✓ get_cache_stats — Cache statistics ✓ clear_cache — Flush cache

THE OPS LAYER [FOR] MULTI-AGENT_

AI agents don’t talk to each other

Each tool is its own island

No way to chain agents

Agents run blind