Deterministic • Stateful • Auditable • MCP-native

Reliable execution for
unreliable agents.

AI agents decide well and execute badly — they drift, lose state, and never run a multi-step task the same way twice. ControlForge is the deterministic runtime they call to actually do the work: reproducible, bounded, and recorded.

Whatever your agent decides — write the book, build the site, run the workflow — ControlForge runs it for real.

The brain is brilliant — and unreliable.

Agents reason, plan, and adapt. They also hallucinate, drift, lose the thread on step four, and never reproduce a run. That's fine in a chat window. It's not fine when something actually has to happen — reliably, twice.

So give it a runtime that isn't.

ControlForge executes deterministically: the same steps run the same way every time, state survives, every action is recorded, and bad logic is rejected before it runs. The agent decides what; ControlForge guarantees how it runs.

Propose. Verify. Bound. Execute. Audit.

A closed loop where the non-deterministic part never executes anything directly.

01

Propose

The agent introspects a typed tool surface — every capability it can call — and proposes the steps. No guessing what exists.

02

Verify

Proposed logic is validated against the runtime before it runs. Bad or unsupported steps are rejected, not executed.

03

Bound

Scheduling, permissions, and limits constrain what any step is allowed to do, and when.

04

Execute

A deterministic engine runs it — the same way every time. State persists across steps and restarts.

05

Audit

Every action is recorded and time-stamped. Any run can be replayed and proven after the fact.

WHAT YOUR AGENT GETS

A tool surface it can actually trust.

ControlForge exposes execution as a typed, MCP-native tool surface. Your agent calls it the way it calls any tool — except this one introspects, validates, and comes back with a result it can rely on.

  • 2,000+ built-in capabilities to call
  • Introspect first — never hallucinate an API
  • Validation before execution
  • Results it can replay and verify
WHAT YOU GET

Production behavior, not demo behavior.

The difference between an agent that works in a screenshot and one you'd put in front of real work: determinism, durable state, and a record of everything that happened.

  • Reproducible runs — same in, same out
  • Durable state + full history
  • One static binary, runs anywhere
  • Can even reach the physical world when you need it

The part that's actually hard.

Wrapping a model in a loop is easy. Making execution deterministic, stateful, and provable is the part everyone skips — and the part that decides whether your agent survives contact with real work.

Deterministic execution

The same steps run the same way every time — not best-effort.

Durable state + audit

State survives across steps and restarts; every action is recorded.

2,000+ capabilities

Files, HTTP, data, code, comms — callable from one tool surface.

MCP-native

Plugs into your agent as a tool server. The product is its own integration.

Validate before execute

Bad logic is rejected at the door, never run against real systems.

Reaches the real world

When a task leaves the screen, it can drive actual hardware and devices.

Point an agent at something
that actually matters.

ControlForge is in private access. Tell us what you're building.

hello@controlforge.tools