Not a flat agent swarm
Most multi-agent systems put agents side-by-side. FORCE runs a five-tier hierarchy where agents delegate to, oversee, and correct other agents.
AI that manages AI.
Autonomous hierarchies where agents delegate, execute, and verify — with you in command. Production-proven across defense, science, and high-stakes operations.
44 Active Agents
5-tier Hierarchy
66 Builds Shipped
<5% Failure Rate
7+ Months in Production
5 AI Providers
What makes FORCE different
This is not another agent framework.
Not a coding harness
FORCE builds defense systems, scientific software, strategy documents, and federal submissions — not just code completions.
Not just governance
Replay, memory, kill switches, and auditability are built into the execution runtime — not bolted on after the fact.
1.0 Intake
Describe the mission. The fleet takes it from there.
A single prompt enters the system. Council-level agents frame the problem, challenge assumptions, and shape the work before anything fans out.
1.1
Council reasoning
Four oracle-class agents deliberate on intent and approach
1.2
Mission shaping
Ambiguity is resolved before delegation begins
1.3
Operator override
You can intervene, redirect, or refine at any point
2.0 Delegate
Work decomposes through a real chain of command.
The APEX admiral turns intent into directives. Three squadron leads divide the mission into teams. Twenty-seven workers execute in parallel.
2.1
APEX coordination
One admiral manages the entire fleet geometry
2.2
Squadron decomposition
Three leads split work into concurrent streams
2.3
Worker execution
Specialized agents build, search, test, verify, and report
3.0 Execute
Parallel work with multi-model coordination.
Workers operate across five AI providers simultaneously. The hierarchy manages context, handoffs, and quality without central bottlenecks.
3.1
Multi-model fleet
Claude, GPT, Gemini, Grok, and more in one hierarchy
3.2
Typed tool execution
Read, edit, search, run, inspect, validate — structured actions, not prompt soup
3.3
Persistent memory
Fleet retains context across sessions and missions
4.0 Verify
Results roll up. The operator stays in control.
Supervisors review work before it surfaces. Every action is replayable. Kill switches, escalation paths, and full audit trails are built into the runtime.
4.1
Replay & audit
Inspect any decision, any agent, any moment
4.2
Escalation paths
Bad outputs get caught and corrected structurally
4.3
Live operator surface
Terminals, progress, hierarchy view, intervention controls
What the fleet has built
The proof is in the output.
FORCE is past the demo stage. These systems were built autonomously under real operating pressure.
ARCHON Defense C2
Mission command-and-control surface for autonomous systems coordination.
WATCHMAN Intelligence Fusion
Multi-source intelligence processing and threat analysis engine.
AURORA Space Weather
Orbital decision support and space-weather operations system.
GENESIS Scientific Computing
Seven national-lab-grade systems across physics, materials, and energy.
DOCTRINE Strategic Output
550,000-word naval doctrine manuscript produced through the fleet.
SUBMISSIONS Federal Programs
40+ federal proposals drafted with fleet support across DoD and DOE.
See the fleet in action.
The UI is the proof. Live terminals, chain of command, parallel execution, memory, and full operator visibility in one surface.