Autonomous AI hierarchy
AI agents
that run themselves.
FORCE runs today as a 44-agent triad, but the fleet itself is configurable: council shape, squadron count, worker lanes, specialist roles, and provider mix can all be tailored to the mission.
44 agents running in the production triad
3 squadrons forming the main command geometry
YAML-configurable fleet depth, lanes, and provider mix
The actual product surface: hierarchy, live terminals, progress rollups, intervention controls, and the production triad in flight.
What makes FORCE different
This is not a flat team of helpers.
The point of FORCE is not “more agents.” It is a real autonomous structure where AI manages AI, work decomposes cleanly, and execution stays visible as the hierarchy moves.
Most agent systems stay flat.
One lead, one queue, and a handful of helpers is not the same thing as AI managing AI. FORCE runs a real chain of command where delegation and oversight are structural.
- five tiers instead of one shallow team
- agents supervising other agents
- parallel work that rolls back up cleanly
FORCE is configurable, not hard-coded.
The live triad proves the system, but the deeper advantage is that fleet composition lives in configuration. You can change hierarchy depth, role mix, worker lanes, and provider mix to match the mission.
- triad is the current production default
- custom fleets can expand or contract by mission
- vendor-neutral by design
The fleet remembers what it learns.
FORCE carries project context, task state, and operational memory across sessions, teams, and longer-running work. The result is continuity, not disposable chat threads.
- persistent memory across the fleet
- live progress rollups and roadmaps
- replayable execution when you need to inspect it
How the fleet moves
Delegation, execution, and oversight in one loop.
FORCE behaves like an organization, not a script. Intent moves down the chain, specialized work happens in parallel, and results roll back up without losing context.
Council frames the problem
High-level reasoning agents establish intent, challenge assumptions, and shape the work before it fans out.
APEX delegates the mission
The fleet overseer turns intent into concrete directives, allocates work, and manages the hierarchy in motion.
Three squadrons break it down
The triad of squadron leads divides the mission into teams, coordinates handoffs, and keeps parallel workstreams moving without losing structure.
Workers execute and report
Specialized agents build, test, search, edit, verify, and continuously roll status and results back up the chain.
What the fleet has already built
The proof is in the output.
FORCE is already past the demo stage. It has produced mission systems, scientific software, internal platform infrastructure, proposals, and long-form strategic output under real operating pressure.
Defense and autonomy systems
The fleet has already produced a portfolio of defense-grade systems including mission command, intelligence fusion, autonomous testing, and space-weather operations.
- ARCHON command-and-control surface
- WATCHMAN intelligence fusion engine
- AURORA space-weather and orbital decision support
Scientific and safety-critical software
FORCE has built DOE-focused systems, mission-analysis software, and safety-oriented infrastructure where correctness and continuity matter more than novelty.
- 7 Genesis systems across national-lab style problems
- spacecraft encryption and protocol work in Rust
- persistent memory and durable execution for long-running builds
A fleet operating at founder speed
One founder running FORCE has already used it to build projects, produce strategy artifacts, draft proposals, and push whole programs forward at a pace a normal team could not match.
- 66 autonomous builds
- 40+ federal submissions drafted with fleet support
- 550,000-word naval doctrine manuscript produced through the system
Why the system holds up
Operational depth, not just pretty orchestration.
The hierarchy gets the attention first. Underneath it is the runtime depth needed to make that hierarchy usable in the real world.
Live operator surface
See the hierarchy, current workloads, terminal traces, and progress as the fleet runs. The UI is not a mockup. It is the product surface.
Persistent fleet memory
Agents retain context across sessions and can work with accumulated knowledge instead of starting cold every time.
Typed tool execution
The fleet can read, edit, search, run, inspect, and validate work through structured tools instead of one giant text prompt.
Replay and intervention
Operational control exists because the system is real, but it supports the hierarchy rather than defining the entire product story.
See the system live
The UI is the proof.
If you understand the surface, you understand the company: live terminals, chain-of-command, parallel execution, memory, and operator visibility in one place.