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11x Token Cut for Agent Memory

11x Token Cut for Agent Memory

Structured distillation compresses personalized AI agent conversation histories into compact retrieval structures, achieving 11x token reduction from 371 to 38 tokens per exchange. Evaluated on 14k exchanges, it preserves 96% of verbatim recall and exceeds baselines in cross-layer search. Open-source implementation released.

TideSurf: 30x Token Reduction for Web Agents

TideSurf: 30x Token Reduction for Web Agents

TideSurf compresses rendered DOM into markdown-like format for LLM web agents, achieving 32x token reduction on GitHub pages and 12x TTFT drop (106s to 8s) with Qwen 3.5 9B on M1 Pro MacBook. It provides 18 interactive tools, works via CLI/MCP, and parses DOM in ~30ms. Early v0.3 open-source project available on npm.

Reddit r/LocalLLaMACommunityMar 28#web-agents#token-compression#dom-parsing