Add file-based memory pattern and skill injection key idea#1
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a692570 wants to merge 1 commit intoygwyg:mainfrom
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Add file-based memory pattern and skill injection key idea#1a692570 wants to merge 1 commit intoygwyg:mainfrom
a692570 wants to merge 1 commit intoygwyg:mainfrom
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- Memory Patterns: Add 'File-based memory with semantic search' as a key idea and 'File-Based Memory (MEMORY.md Pattern)' as an example. This pattern is used by OpenClaw, Claude Code, and other CLI agents where plain markdown files + semantic search replace external databases. - Skills: Add 'Skill injection for delegated agents' as a key idea. In multi-agent systems, child agents don't inherit parent context, so skills must be explicitly inlined in delegation prompts.
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Two small additions based on production experience running long-lived AI agents:
Memory Patterns
New key idea: "File-based memory with semantic search"
New example: File-Based Memory (MEMORY.md Pattern) — Plain markdown files with semantic search, used by OpenClaw, Claude Code, and other CLI agents. An index file tracks core facts, daily journals capture session context, and a learnings log records mistakes and discoveries. No database required — just files, git, and embeddings.
The current examples are all dedicated memory services (Mem0, Letta, Zep). This adds the simpler file-based approach that many CLI agents and personal assistants use in practice.
Skills
New key idea: "Skill injection for delegated agents"
In multi-agent systems, child agents don't inherit parent context. When an orchestrator delegates a task to a sub-agent, any relevant skills must be explicitly inlined in the delegation prompt — referencing a file path isn't enough because the child agent may not have access. This is a common gotcha that applies across frameworks (OpenAI Agents SDK, LangGraph, CrewAI, OpenClaw).