Enterprise-ready AI memory layer

Your team’s shared memory for AI coding agents.

CodeMemory captures the decisions, fixes, runbooks, patterns, and hard-won lessons created by humans and AI coding agents — then makes them reusable across engineers, repos, sessions, and teams.

Memory-first, not code-search-first
Provenance-aware retrieval
Built for org and team sharing
Example shared memories
Fix · Postgres pool exhaustion on background workers Increase worker idle timeout and cap concurrency at 8. The incident only surfaced under weekend re-index loads.
infra incident team-visible
Decision · Keep deployment runbooks separate from product docs Agents performed better when operational runbooks were stored as first-class memories with provenance instead of buried in repo markdown.
decision runbook source-linked
Pattern · Safe staged migration workflow Use branch-first validation, smoke checks, and explicit post-change verification before promoting org-wide guidance.
pattern platform org-visible

Capture

Store the learnings created by humans and agents during real engineering work: fixes, decisions, gotchas, runbooks, incidents, and architecture context.

Retrieve

Give engineers and agents access to relevant prior knowledge without forcing them to re-learn the same painful lessons from scratch.

Compound

Turn one-off agent output into durable organizational memory that gets stronger over time instead of disappearing into isolated sessions.

Why it matters

  • AI agents already generate valuable engineering knowledge every day.
  • Most of that knowledge is lost in chat threads, PRs, incident notes, and private transcripts.
  • Teams repeat the same debugging work because the org has no durable memory layer.
  • CodeMemory preserves the why behind the work, not just the final output.

Built for serious teams

  • Memory-first model, not generic repo indexing.
  • Typed memories: decision, fix, gotcha, runbook, pattern, incident, architecture.
  • Provenance links back to sessions, issues, PRs, incidents, repos, and projects.
  • Team/org visibility controls to keep knowledge shareable without becoming chaos.

Turn one-off agent work into lasting engineering memory.

CodeMemory is currently in early development. If you're building with AI coding agents and want stronger organizational memory, request early access and we’ll share progress as the platform takes shape.

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