← All products
Products · COS

COSCapability Operating System

INVITE ONLY

The orchestration layer that lets AI agents plan, verify, remember, and improve across tasks — so multi-step autonomous work becomes reliable instead of flaky.

The problem

Agents demo well and fail in production. Without memory, verification, and a way to learn from each run, multi-step autonomous work is one bad step away from going off the rails.

What COS does

COS is a Capability Operating System — the orchestration layer beneath reliable agents. It lets an agent plan a task, verify its own work, remember what happened, and improve on the next run.

It turns a one-shot model call into a governed execution loop: register the task, do the work, check the result, and store the lesson, so reliability compounds instead of resetting every time.

It is the backbone that runs Dekrypt Labs' own products, hardened on real multi-step workloads rather than benchmarks.

Capabilities
Plan and verify
Agents break work into steps and check their own output before moving on.
Persistent memory
Outcomes and lessons carry across runs instead of vanishing each session.
Improvement loop
Every execution feeds a learning loop, so reliability compounds.
Governed execution
Tasks are registered, tracked, and closed, with telemetry on every run.
How it works
  1. 01Plan. An agent decomposes the task and registers the execution.
  2. 02Execute. It does the work with verification at each step.
  3. 03Remember. Outcomes and lessons are stored for future runs.
  4. 04Improve. The loop routes lessons back in, raising reliability over time.
Who it's for
  • AI engineers and agent builders
  • Platform teams running agents in production
  • CTOs who need autonomous work to be reliable
Frequently asked
What is COS?
COS is a capability operating system — an orchestration layer that lets AI agents plan, verify, remember, and improve across tasks, turning flaky one-shot calls into reliable multi-step autonomous work.
Why do AI agents need orchestration?
Agents fail in production when they can't verify their work, remember prior runs, or learn from mistakes. COS adds planning, verification, memory, and an improvement loop so multi-step work stays reliable.
How does COS improve agent reliability?
COS governs each execution — register, work, verify, store the lesson — and routes those lessons into future runs. Reliability compounds across tasks instead of resetting every session.

COS is available by invitation. Request access below.

More instruments