Every agent memory system publishes its own numbers. Almost none of them are comparable. Different datasets, different answer models, different judges. When a score moves, you can’t tell whether the memory got better or the setup got kinder. The Agent Memory Challenge has been open since Wednesday. Submissions close August 7. The design, briefly: You expose two endpoints — add and search. That’s the entire integration. Answer generation, judging, aggregation and orchestration run on our side, identically for every entry, and we pay for that compute. Your internals stay closed. Text track 10+ datasets consolidated (PersonaMem, LoCoMo-Refined, CLBench, BEAM, LongMemEval, ScriptMem and others). ~150M characters of history, ~5,000 questions, scored across seven capability dimensions rather than collapsed into one number. Code track — the part we think doesn’t exist yet: 12 repos, 150 base tasks, and 1,290 historical PRs annotated as strongly related, weakly related or unrelated to the task at hand. Strict temporal constraints, so nothing from the future leaks backward. It measures whether a system can retrieve and reuse engineering experience, not whether it can solve an issue cold. Two boards Open-source methods — ranked and eligible for rewards Commercial products — ranked separately for procurement reference Organized by 20+ universities and research institutions. Enter → https://agentmemories.ai/competition/ Protocol, submission guide, reference integrations → https://github.com/AML-memory/agent-memory-leaderboard Results go up mid-August. Logs, retrieved evidence and judge records stay public.