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🧠 |
Semantic Memory |
AI remembers by meaning, not keywords. Local ONNX embeddings (768d) with usearch persistent HNSW index. Hybrid search (FTS5 + RRF) with fusion as the default strategy since 0.16.0. |
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📦 |
Single Binary |
Zero dependencies. No Docker, no database server, no Python, no API keys. |
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🏷️ |
Tags + Namespaces + Metadata |
Multi-agent isolation built-in. Entity, category, and key:value metadata enrichment. Tag management with list/rename/delete. |
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🕰️ |
Memory Aging |
Hot/Warm/Cold tier tracking. Auto-cleanup stale memories. |
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🐚 |
Shell Hooks |
Auto-load project context. bash/zsh/fish support. |
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🔒 |
Fully Offline |
Local ONNX embeddings. No telemetry, no cloud, no API calls. |
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🏠 |
Rooms |
Group memories by context (meetings, projects). Author attribution, semantic room recall, structured document generation. |
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⏳ |
Time-Travel Queries |
Recall memories as they existed at any point in time. Temporal validity with valid_from/valid_until. |
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🔗 |
Relationship Graph |
Link memories with typed edges. Supersedes, contradicts, references. BFS traversal with --related --depth. |
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📉 |
Smart Decay |
Composite importance scoring. Pin critical memories. Auto-recalculate on access patterns. |
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🔌 |
MCP Server |
Model Context Protocol server for AI tool integration. Expose memories to Claude, GPT, and other MCP clients. |
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📊 |
Benchmarks |
Built-in uteke bench for performance testing. LongMemEval retrieval harness for accuracy evaluation. |
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