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Discuss the next stage of Engramora
Engramora is developing long-term memory infrastructure for AI agents. If you would like to discuss the technology, development plans or potential investment, leave a message below.
Current development stage
Local Storage and Recall benchmarks have been completed from 1,000 to 10 million memory patterns, with zero correctness failures across 221,309 measured queries. These measurements exclude LLM inference time. Validation at 100 million and 1 billion patterns has not been completed. Cloud development and deployment testing are planned; public Cloud access is not yet available.
The current agent integration demonstrates how saved task background, research results and interaction records can be recalled for later tasks. This provides a reusable information base for ongoing work. The next goal is to develop and deploy the Cloud service, validate isolation and concurrent use across multiple users, and then invite external testers in batches. These Cloud capabilities are planned and have not yet been validated.
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