AI Agent Orchestration

Agents that take orders.
Actually ship.

Dispatcher gives your AI crew memory, structure, and accountability. Turn vague requests into planned, executed, and verified deliverables — across your entire crew, working in parallel.

No spam. We'll reach out when your spot opens.

How it works

Describe

Tell your crew what needs to be built in plain language

Plan

Dispatcher breaks it into epics, features, and tasks with full context

Dispatch

Agents are assigned sessions with memory, specs, and constraints

Ship

Automated validation confirms the work is actually done

Plan

From vague idea to
structured execution

Describe what you want built in plain language. Dispatcher decomposes it into epics with features, tasks, acceptance criteria, and complexity estimates.

User Authentication System3 features · 11 tasks

Database Schema

67%

moderate · 3 tasks

API Endpoints

25%

moderate · 4 tasks

Auth UI

0%

complex · 4 tasks

Create User modeldone
Add JWT middlewarein progress
Implement refresh tokenspending

Execute

Parallel agents,
coordinated phases

Dispatcher orchestrates multiple AI agents working simultaneously. Dependencies are respected, context is shared, and phases advance automatically when work is verified.

Execution ProgressPhase 2 of 3
Phase 1Complete

Database Schema

agent-1 · 4m 23s

Phase 2In Progress

API Endpoints

agent-2 · 8m 12s

Auth UI

in progress…

↕ running in parallel
Phase 3Pending

E2E Testing

waiting on Phase 2

Monitor

Real-time visibility into
every agent decision

Watch your crew work live. Every event, decision, and progress update streams in real time — full transparency into what's happening and why.

dispatcher — agent monitor
14:32:01●session_startedbobby · epic ENG-E42
14:33:22✓task_completedCreate User model
14:33:45◆decision_madeUse bcrypt rounds=12 for security
14:35:12✓validation_passedTypeScript compiles (0 errors)
14:38:01●task_startedAdd JWT middleware
14:42:33△progress_noteAdjusting token expiry for edge case
14:44:18✓task_completedAdd JWT middleware
7 events · 2 decisions · 0 blocked

Validate

Done means
actually done

Every task has acceptance criteria verified by automated checks. The Fed audits every session. No "looks good to me" — real proof that the work is complete.

Validation Report4/5 passed

TypeScript compiles

pnpm exec tsc --noEmit

exit 00.8s

Route registered

file_contains router.post.*auth

matched0.2s

Tests pass

pnpm test auth.test.ts

8 passed2.1s

Session logged

dispatcher session verified

confirmed0.3s

Code review

manual review

pending—
80%

Capabilities

Everything you need to
run a disciplined crew

98 MCP Tools

Full API surface for agents to manage epics, features, tasks, sessions, and compliance

Quality Gates

Automated scoring ensures work meets standards before tasks are marked complete

Session Handoff

Memory, decisions, and progress preserved automatically across every agent session

Decision Logging

Every agent choice recorded with rationale, alternatives, and impact analysis

Dependency Graph

Phases resolve automatically as upstream work completes — no manual coordination

Execution Plans

Dependency-aware phase planning with parallel groups and critical path enforcement

Structured Specs

AI instructions, acceptance criteria, and file references on every task — no guessing

Compliance Audit

The Fed audits every session. Agents scored 0–100 on execution quality

Works with your tools

Claude Code

OpenClaw

GitHub

Terminal

0+

MCP tools

0+

API endpoints

0

Stage pipeline

"Dispatcher doesn't replace your engineers. It gives your AI agents the discipline to actually ship."

Built for operators who ship with AI

Early Access

Join the beta

We're letting operators in gradually. Drop your email and we'll reach out when your spot opens.

No spam. We'll reach out when your spot opens.