The source changed after the plan was made.
Agents often keep using old context because nobody forces them to re-check the facts.
Context Correctness Runtime
KyroDB sits between your AI agents and changing knowledge stores,enforcing freshness, scope isolation, provenance, and proofon every retrieval.KyroDB sits between your AI agents andchanging knowledge stores, enforcingfreshness, scope isolation, provenance,and proof on every retrieval.
# Initializing context runtime
ctx = run_kyrodb_tool(
'VECTOR_SEARCH',
namespace='support/billing'
)
for doc in ctx.results:
proof = validate_freshness(
doc,
policy='strict'
)# Enforcing boundaries
bounds = run_kyrodb_tool(
'CHECK_SCOPE',
tenant='acme-corp'
)
if bounds.safe:
# context packet assembled
# proceed to generationMost stacks can search. Fewer can prove the result is still true, still allowed, and still useful at the moment the agent acts.
Agents often keep using old context because nobody forces them to re-check the facts.
Fast cache hits are dangerous when tenant, namespace, policy, or role scope is not part of the key.
Long context windows still fail when stale, irrelevant, or conflicting material is mixed with live truth.
Keep your existing stores. KyroDB adds the missing correctness layer: freshness checks, scope-safe reuse, and evidence you can inspect.
Query, tenant, namespace, auth scope, and freshness mode enter one runtime boundary.
KyroDB compares source watermarks, invalidations, connector proof, and cache eligibility.
Fresh context returns. Unsafe context is omitted, degraded, or stale-blocked.
The response includes status, omissions, warnings, trace id, and proof counters.
KyroDB turns retrieval into a decision your agent can trust. The agent gets context, the reason it was safe, and the evidence needed to debug it.
The packet records the source generation KyroDB trusted before returning context.
Tenant, namespace, auth scope, filters, and policy are part of the reuse boundary.
Every answer carries a trace id, warnings, omissions, and proof counters.
Relevance checks and feedback loops show when fresh context was not enough.
When a customer asks why an agent was wrong, KyroDB links the answer to trace evidence, source freshness, invalidation ownership, and replay diffs.
OK matched 1,024 captured retrievals
OK zero scope incidents
OK stale baseline blocked by candidate
! 4 relevance regressions require review
For developers validating context correctness with one KyroDB-managed pgvector runtime.
For individual developers shipping production agents that need managed freshness, replay, and root-cause evidence.
For custom deployments that need dedicated regions, private networking, and custom retention.
And refuse to guess when context is stale, unsafe, or unprovable.