v0.2.0 — Omni-SimpleMem: Multimodal Memory

What's New

🧠 Omni-SimpleMem: Multimodal Memory

SimpleMem now supports text, image, audio & video memory.

• +411% on LoCoMo F1 over previous baselines
• +214% on Mem-Gallery F1
• 5.81 q/s retrieval throughput (3.5x faster)
• Built on three principles: Selective Ingestion, Progressive Retrieval, Knowledge Graph Augmentation

Other Changes

• README restructured with parallel SimpleMem (text) + Omni-SimpleMem (multimodal) organization
• Added Roadmap for upcoming multimodal infrastructure (cross-session, MCP, Docker)
• All 13 language READMEs updated
• Bug fixes and stability improvements

Full Changelog: v0.1.0...v0.2.0

v0.1.0 — Initial Release (Text Only)

SimpleMem v0.1.0 — Initial Release (Text Only)

An efficient memory framework based on semantic lossless compression for LLM agents.

Features

• Semantic Structured Compression — converts dialogues into compact, atomic memory units
• Online Semantic Synthesis — consolidates related memory fragments to eliminate redundancy
• Intent-Aware Retrieval Planning — dynamic search intent inference with parallel multi-view retrieval
• 43.24% F1 on LoCoMo benchmarks (26% improvement over Mem0)
• ~550 tokens per query — 30× fewer than full-context approaches
• MCP protocol support — compatible with Claude, Cursor, LM Studio, and more