llm-wiki

name	llm-wiki
description	LLM-wiki is a curated, living knowledge base about LLM systems programming, prompt engineering, and long-term memory strategies. Registered as a reference skill to lift OctoCode's systems-programming and memory design.
source	https://github.com/rasbt/LLMs-from-scratch
integration	external-knowledge
status	descriptor-only

llm-wiki

Descriptor-only registration (P12 batch). Used as a reference body of knowledge for:

• Systems programming uplift — tokenization, attention, KV-cache, batching, quantization, and how each interacts with coordinator latency budgets.
• Memory uplift — session store layering (OctoCode's FileSessionStore + SQLite persistence), context-window budgeting, and semantic vs. episodic memory separation.

Why registered

OctoCode's runtime already separates SessionStore, ConversationStore, and TurnStateStore; the llm-wiki material is a rigorous reference for extending those stores with:

1. Episodic memory — per-session event journal (already partially present via event_feed_json).
2. Semantic memory — embeddings-backed retrieval layered above the P9 token index (crates/octocode-cli/src/index.rs).
3. Procedural memory — skill index itself (this directory).

Integration plan (deferred to P13+)

1. Add a crates/octocode-runtime/src/memory.rs module that unifies the three stores behind a MemoryLayer trait.
2. Expose octocode-cli memory-stats subcommand emitting counts and byte sizes per layer.
3. Wire semantic retrieval through a pluggable embedding provider (reuses ProviderFactory).

Safety notes

Embedding calls are outbound network traffic — gate by the same allowlist governance as skills-install.