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Docs · hypothesis-led

Company memory

Memory updates are proposed lessons, not automatic chat history. Only approved, retrievable memory counts as compounding. Unapproved interpretation must not silently become product truth.

Docs hubGet startedllms.txtAgent capabilities

Hypothesis-led documentation. No ranking, traffic, or outcome guarantees. Public discovery is not execution authority.

Lifecycle

Propose → approve or reject → retrieve on later missions → prove use when it influences a run.

Anti-pattern

Storing text that is never retrieved, never approved, or never bounded by claim ceilings.

How does Company memory work in an agent-first engineering harness?

Launchfiles executes this through bounded work orders, deterministic pre-commit gates, dual-ledger verification, and cryptographic approval receipts. Rather than generating unverified audit essays or soft-green theater, autonomous agents operate inside strict byte-range boundaries with verifiable unit economics, human review gates, and deterministic regression guarantees across every production change.

DimensionUnbounded AI Chat / Audit EssaysLaunchfiles Bounded Work Orders & Receipts
Execution ScopeUnbounded chat, hallucinated advice, unverified file rewritesBounded AST patches via work orders and pre-commit gates
Verification & ProofSoft-green claims without receipts or regression checksDual-ledger verification with cryptographic receipts
Opportunity DiscoveryInvented keywords and unranked suggestionsStatistical triage via Search Repair Radar
Economic ModelOpaque token burn with zero outcome guaranteeTransparent pricing with strict byte-range safety locks

Next safe action

Learn the contract, then run a bounded mission.

Prefer receipts over claims. Prefer fail-closed honesty over impressive incompleteness.