Continuity
Relevant context persists across interactions instead of being rebuilt from scratch.
Continuity for intelligent systems.
The gr{Ai}Γ Harness preserves relevant context across systems, recognizes when information is fresh or stale, and limits what reaches the language model to discrete work that can be checked.
Your systems already know more than they use.
Same cards, same cloth.
In 1804 a loom took its pattern from punched cards. Same cards, same cloth, every time.
What the Harness changes.
Freshness
Information is treated according to whether it is still current or needs a refresh.
Discrete work
Only the work that needs language-model reasoning goes to the model.
Checks
Model output is evaluated as a bounded result, with a clear question to check.
Efficiency
Fewer repeated calls and less context resent, because checked work is carried forward.
Change the workload, not just the model.
When every interaction starts over
- large context
- language model
- large response
- interpret
- repeat
With the gr{Ai}Γ Harness
- known context
- harness
- discrete unresolved work
- language model
- check
- carry forward
The model is a tool, not the architecture.
Orchestration, boundaries and validators are deterministic. The model is not, and is never trusted as if it were.
The Harness sits between your systems and the models used for specific work. Pick a model for the task while the wider system stays independent of it.
apiVersion: 100monkeys.ai/v1
kind: Agent
metadata:
name: "hello-world"
spec:
security:
network:
mode: none
resources:
timeout: "120s"
execution:
mode: iterative
max_iterations: 5
validation:
- type: exit_code
expected: 0
- type: semantic
judge_agent: "output-judge"
min_score: 0.85A run, as it reads.
Iteration 1: ModuleNotFoundError
Iteration 2: Installing missing dependency...
Iteration 2: TypeError in line 47
Iteration 3: Fixing type annotation...
Iteration 3: All validators passed
Start with one expensive workflow.
Establish the baseline
Agree what the workflow does and what it costs today.
Apply the Harness
Scope the integration around the systems involved.
Measure the difference
Compare against the baseline and review the support needed.