01
Preserve
Keep upstream execution that remains valid instead of automatically replaying it.
Recovery intelligence for autonomous execution
Preserve valid work.
Repair failure.
Continue.
Consistency is a runtime recovery system for autonomous software and AI agents. It helps workflows recover from partial execution failure without automatically restarting everything that already worked.
Don’t restart the agent. Repair the execution.
12 / 12
successful controlled recovery trials
33.3%
fewer model calls in the benchmark
66.7%
fewer tool calls in the benchmark
Agents SDK
OpenAI framework integration verified
OpenAI Agents SDK is referenced only to describe compatibility. Consistency is an independent project and is not affiliated with or endorsed by OpenAI.
The problem
Failure often arrives late.
Autonomous workflows can spend model calls, tool calls, API requests, and time building useful state before one later operation becomes invalid. A broad restart can discard that valid execution and pay for it again.
Example executionSelective recovery
ObjectiveVALID
PlanVALID
ToolsFAILED
AnalysisINVALID
ResponseINVALID
Consistency
ObjectivePRESERVE
PlanPRESERVE
ToolsREPAIR
AnalysisRERUN
ResponseRERUN
The approach
Validity-aware recovery.
Consistency is not a persistence engine and it is not just another retry loop. The host application supplies validity evidence; Consistency uses that evidence to preserve trustworthy execution and orchestrate targeted recovery.
02
Repair
Recover the justified failure boundary using application-defined repair behavior.
03
Continue
Invalidate dependent state, regenerate only what is affected, and resume from there.
Evidence
Measured against restart.
In a controlled 12-trial tool-failure benchmark using a local autonomous agent, Consistency recovered successfully in every trial while repeating fewer model and tool operations than full workflow restart.
Recovery success12 / 12
Model-call reduction33.3%
Tool-call reduction66.7%
Mean recovery time26.6 s
Full restart mean40.5 s
Current status
Technical alpha. Pilot evaluations open.
Consistency has a packaged Python runtime, third-party agent binding, an OpenAI Agents SDK integration, automated recovery tests, and pilot reporting for comparing selective recovery with restart behavior.
Design-partner pilots open
The next milestone is external proof: an existing agent or autonomous workflow fails after meaningful upstream work, and Consistency demonstrates whether that work can be preserved safely instead of repeated.
Pilot with Consistency
Does your workflow restart work that was already valid?
We are looking for tool-using agents and ordered autonomous workflows where partial failures trigger broad retries, restarts, or manual recovery.
Oluseyi Christopher Olusola · Founder, Consistency