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Features: - with_fast_memory(): Zero-latency inline extraction (Letta-style) - Memory extracted as part of LLM response, no extra API calls - Semantic retrieval with local embeddings (sub-50ms) - with_memory(): Background extraction for non-blocking memory - SQLite + FTS5 storage with vector similarity search - Multi-user isolation by user_id Memory enables temporal compression - extract key facts instead of carrying full conversation history (4000 tokens → 50 tokens). Includes: - Comprehensive test suite (71 new tests) - Documentation (docs/memory.md) - Benchmark examples comparing approaches - E2E test with LLM-as-judge evaluation
1 line
33 B
Python
1 line
33 B
Python
"""Tests for Headroom Memory."""
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