A minimalist MVP demonstrating a simple yet profound insight: aligning AI memory with human episodic memory granularity. Shows how this single principle enables simple methods to rival complex memory frameworks for conversational tasks.
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fix: use vector search for semantic memory recall in prediction-correction
ea40320View on GitHubfix: resolve merger timezone bug, semantic FK race condition, and add comprehensive multimodal tests
9cc74c8View on GitHubrefactor: resolve DSN, base URLs, and Qdrant config from environment variables
3c04e23View on GitHubdocs: add Docker Compose deployment + update README for new architecture
9555187View on GitHubfix: add 'json' keyword to extract prompt for response_format compatibility
e3ce431View on GitHubfix: don't use json_object response_format for prediction prompt (free-form text)
5a4ee4fView on GitHubfeat: use JSON mode for all LLM generators + clean segmenter
5d0977bView on GitHubfix: improve segmenter JSON parsing with multi-strategy extraction and retry
7bca38bView on GitHubfix: remove DROP EXTENSION vector from migration (privilege issue)
e12fa4fView on GitHub