Agent repo memory
Most AI coding agents can read the current repo. That is not the same as remembering proven patterns across sessions, projects and prior fixes. Moresq Corpus turns reusable implementation knowledge into searchable cards with receipts.
Chat history preserves conversation context. Repo memory preserves implementation decisions: how auth was wired, how webhooks were verified, how deployment scripts were structured and which snippets passed review.
A terminal agent should ask for a known pattern before producing hundreds of tokens of new code. The right memory layer returns compact matches first, then the full card only when retrieval beats regeneration.
Moresq Corpus is positioned for Claude Code, Codex, Cursor, Windsurf, Cline, MCP clients and CI agents because the retrieval contract is independent from the chat surface.
Start with a short intent query. Search is cheap and returns compact metadata before the agent spends tokens on a full retrieval.
Open the strongest match only when provenance, license, review state and project fit justify reuse.
Adapt the known pattern, record the outcome and turn misses or corrections into better future retrieval signals.
Corpus is not a promise that every retrieved snippet is correct, a replacement for code review, or a silent training dump of private chats. It is a governed reuse layer: the process verifies provenance and review evidence, while the developer remains responsible for fit, testing and the final change.
Most AI coding agents can read the current repo. That is not the same as remembering proven patterns across sessions, projects and prior fixes. Moresq Corpus turns reusable implementation knowledge into searchable cards with receipts.
Moresq Corpus lets coding agents search reusable implementation cards, retrieve relevant snippets with proof receipts, and learn from misses, applies and corrections.
No. Retrieval can reduce repeated work and expose provenance, but developers still need to check project fit, security implications and test results before shipping.
Related guides
Why AI coding assistants lose context, repeat code and forget repo decisions — and how retrieval-first repo memory fixes the workflow.
Verified code snippets with source metadata, review status, proof receipts and revocation for AI coding agents.
A retrieval-first coding workflow where agents search known patterns, retrieve compact context and generate only the project-specific adaptation.
An MCP corpus for AI coding agents: search reusable implementation cards, retrieve snippets and attach proof receipts.