KyroDB

Context Correctness Runtime

Fresh context for agents thatcannot afford to be wrong.Fresh contextfor agents that cannotafford to be wrong.

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.

WATCH KYRODB IN ACTIONINTEGRATE RUNTIME
+Can this tenant receive a refund?
KyroDB Runtime >
RUNTIME_CONFIG
TENANTacme-corp
NAMESPACEsupport/billing
FRESHNESSstrict
CONTEXT_RETRIEVAL_PIPELINEstatus: PROCESSING
FETCH & VALIDATE CONTEXTpid:1024
# Initializing context runtime
ctx = run_kyrodb_tool(
  'VECTOR_SEARCH',
  namespace='support/billing'
)
for doc in ctx.results:
  proof = validate_freshness(
    doc,
    policy='strict'
  )
INSTANCE-1processing
# Enforcing boundaries
bounds = run_kyrodb_tool(
  'CHECK_SCOPE',
  tenant='acme-corp'
)
if bounds.safe:
  # context packet assembled
  # proceed to generation

Retrieval breaks when knowledge keeps moving.

Most stacks can search. Fewer can prove the result is still true, still allowed, and still useful at the moment the agent acts.

The source changed after the plan was made.

Agents often keep using old context because nobody forces them to re-check the facts.

A reusable answer crossed the wrong boundary.

Fast cache hits are dangerous when tenant, namespace, policy, or role scope is not part of the key.

Memory junk polluted the prompt.

Long context windows still fail when stale, irrelevant, or conflicting material is mixed with live truth.

One runtime boundary between agents and changing data.

Keep your existing stores. KyroDB adds the missing correctness layer: freshness checks, scope-safe reuse, and evidence you can inspect.

Agent
KyroDB Runtime
Knowledge stores
Proof plane
01Request arrives

Query, tenant, namespace, auth scope, and freshness mode enter one runtime boundary.

02Facts are checked

KyroDB compares source watermarks, invalidations, connector proof, and cache eligibility.

03Context is served or refused

Fresh context returns. Unsafe context is omitted, degraded, or stale-blocked.

04Evidence leaves with it

The response includes status, omissions, warnings, trace id, and proof counters.

A packet, not a pile of chunks.

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.

KyroDBcontext plane
freshgeneration ok
scopetenant locked
source5 docs
prooftrace bound

Still true

The packet records the source generation KyroDB trusted before returning context.

Still allowed

Tenant, namespace, auth scope, filters, and policy are part of the reuse boundary.

Still explainable

Every answer carries a trace id, warnings, omissions, and proof counters.

Still useful

Relevance checks and feedback loops show when fresh context was not enough.

packet contract

Serve context only when the runtime can defend it.

See product

Debug stale responses in minutes.

When a customer asks why an agent was wrong, KyroDB links the answer to trace evidence, source freshness, invalidation ownership, and replay diffs.

Which source changed?
Was the candidate fresher than the baseline?
Was the context blocked, degraded, or served?
View evidence workflows
shadow-run / candidatehealthy

OK matched 1,024 captured retrievals

OK zero scope incidents

OK stale baseline blocked by candidate

! 4 relevance regressions require review

proof_bundle.jsonredacted

Usage based Pricing

Free

Starter

$0

For developers validating context correctness with one KyroDB-managed pgvector runtime.

1 project1 managed runtime7-day evidence
  • 2k retrievals and 500 change events / month
  • 5 proof exports and 2 replay exports / month
  • Python and TypeScript SDKs
  • Trace lookup and proof preview
Production scale

Pro

$17/month

For individual developers shipping production agents that need managed freshness, replay, and root-cause evidence.

3 projects1 managed runtime30-day evidence
  • 100k retrievals / month
  • 25k change events / month
  • 50 proof exports and 20 replay exports / month
  • Root-cause reports, replay diff, and email support
Security and scale

Enterprise

Custom

For custom deployments that need dedicated regions, private networking, and custom retention.

Custom cellsPrivate regionSecurity review
  • Dedicated runtime cells
  • SSO and fine-grained RBAC
  • Custom backups and recovery
  • Founder-led rollout support

Built for agents where stale context becomes a product incident.

Support agentsEnterprise copilotsRAG hallucination preventionContext pollution controlContext rot preventionAI coding contextVoice and realtime agentsProduction support agentsSupport agentsEnterprise copilotsRAG hallucination preventionContext pollution controlContext rot preventionAI coding contextVoice and realtime agentsProduction support agents

Your agent should know when it knows.

And refuse to guess when context is stale, unsafe, or unprovable.

Start Building