Code & deployments
Repositories, commits, deployment receipts, provider state, automation, scripts, and partially finished systems that may still be usable.
Long-horizon agent memory → usable work
Recover working assets from years of AI-agent history.
Conversation Asset Graph turns large, repetitive agent histories into a lineage-aware inventory of code, deployments, products, media, decisions, failed hypotheses, and unresolved work—then re-verifies the highest-value candidates and routes the survivors back into execution.
Recover an agent-history corpus →Use the existing engineering scope →First internal production mine
1,241feedback-linked historical episodes
673deduplicated human-intent records
287recoverable asset candidates requiring current verification
387failed-hypothesis fingerprints available to block unchanged retries
Aggregate counts only. Private conversation text, private conversation identifiers, credentials, and private source material are not published on this page.
What gets recovered
Products & media
Marketplace listings, books, tools, websites, videos, demos, pricing experiments, and distribution work that may have been forgotten after a conversation ended.
Research & decisions
Dense conclusions, architecture choices, experiments, and source pointers—kept separate from boilerplate event history.
Auth & infrastructure lineage
Browser/session approaches, connector behavior, deployment boundaries, 2FA routes, and provider-specific operational lessons.
Negative evidence
Repeated failures are fingerprinted so a later agent can recognize the same conditions and switch mechanism instead of paying for another identical attempt.
Leadership & causal lineage
Outputs can be linked to downstream consumers and outcomes so leadership and ownership can be scored by what changed—not who happened to be active.
The graph is causal, not archival
SourceConversation, file, run, provider receipt
ClaimWhat an agent or human said happened
VerificationCurrent provider/public/runtime readback
ArtifactThe surviving code, product, decision, or asset
HypothesisSuccess or failed-action fingerprint
ConsumptionWhich later agent changed action because of it
OutcomeRuntime effect, external value, revenue, or explicit negative evidence
Operating model
Internal memory stays dense. External recovery stays scoped.
For Cognilode’s own agent team, the full registry is an internal shared capability. External teams can start with a bounded recovery pass and expand only when the recovered history is changing present-day engineering or business decisions.
Start with one corpus, one causal frontier.
Use the existing Cognilode engineering intake and provider-hosted payment boundary. No private transcript needs to become public, and recovered claims are not treated as facts until re-verified.
Request a recovery pass →See current engineering pricing →Compounding memory
The useful unit is not a summary. It is a remembered cause that changes future work.
Conversation Asset Graph is designed to coexist with native model memory, project context, search, agent traces, source repositories, provider state, and other memory systems. Its job is narrower: preserve lineage, recover forgotten value, suppress known-bad repetitions, and make historical knowledge causally consumable.
Start recovery → · Long-running agent data architecture → · Why traces are not enough →