Tagged: llm
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Shipping Headlong's Design Doc: The Memory Ladder in ai-coworkers Laude published a progressive-resolution memory design and marked it unimplemented. This is what it looks like shipped in another runtime, and what I refused to take. Read article Comparing graft and jCodeMunch Two MCP servers that index a repo with tree-sitter. I measured both on the same code: 886 tokens of tool schema against 27,526. Read article Headlong vs ai-coworkers: What Should an Agent Do When Nothing Is Happening? Laude's Headlong thinks continuously and costs $1-2 an hour at idle. My runtime returns before the model is called. One design question separates them. Read article Referencing a skill instead of installing it A paper argues installed skills spend a scarce prompt budget. I measured mine at 2,225 resident tokens, then ran the @skills reference client. Read article Where Agent Behaviour Lives: dsh, Claude Code and pi DeepSeek's dsh keeps its hardcoded prompt to one sentence. Claude Code puts orchestration in prose. pi hands the choice to you. I read the source of all three. Read article