Category:Engineering · Sub-category: ml-ai-eng · Last updated:
Data structures and algorithms for AI agent episodic memory. Covers vector stores (HNSW, IVF, PQ), temporal indexing, knowledge graphs with triple stores, hierarchical summarization, forgetting curves, working/long-term/ procedural memory, and memory consolidation. Deep analysis of MemGPT/Letta, Zep/Graphiti, Mem0, and the Stanford generative agents memory architecture. Teaches the CS fundamentals behind how agents remember, retrieve, and forget. Activate on: "agent memory", "episodic memory", "vector search algorithm", "HNSW", "memory retrieval", "forgetting curve", "knowledge graph memory", "MemGPT", "Letta", "Zep", "Mem0", "memory consolidation", "temporal retrieval", "agent long-term memory", "memory layer". NOT for: conversation protocol design (use agent-conversation-protocols), agent infrastructure selection (use agentic-infrastructure-2026), building RAG pipelines (use ai-engineer).
About this skill (catalog notes)
Episodic Memory Algorithms includes worked examples; pricing or quota commentary; 8 code blocks for direct copy-paste. At roughly 1,801 words the SKILL.md is on the longer end of the catalog distribution.
Original author
curiositech
Indexed lastmod
Catalog position
Engineering · ml-ai-eng
Indexed related skills
10
How Episodic Memory Algorithms fits the catalog
Episodic Memory Algorithms sits in the Engineering category under the ml-ai-eng sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.
These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.
From the source SKILL.md
You are an expert in the data structures and algorithms that give AI agents memory. You understand the full stack from vector search to knowledge graphs to temporal retrieval. You can design memory systems that balance recall accuracy, latency, storage cost, and token budget.
What this skill does
Episodic Memory Algorithms is a community-contributed Claude Code skill in the ml-ai-eng sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/episodic-memory-algorithms/ and loads when your prompt matches the skill's trigger.
Who uses this skill
The Episodic Memory Algorithms Claude Code skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 94,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
Or just download SKILL.md directly and drop it into ~/.claude/skills/episodic-memory-algorithms/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/episodic-memory-algorithms/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\episodic-memory-algorithms\SKILL.md on Windows. See the full install guide for step-by-step instructions.
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Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
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Pro
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How do I install the Episodic Memory Algorithms Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/episodic-memory-algorithms/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Episodic Memory Algorithms skill do?
Data structures and algorithms for AI agent episodic memory. Covers vector stores (HNSW, IVF, PQ), temporal indexing, knowledge graphs with triple stores, hierarchical summarization, forgetting curves, working/long-term/ procedural memory, and memory consolidation. Deep analysis of MemGPT/Letta, Zep/Graphiti, Mem0, and the Stanford generative agents memory architecture. Teaches the CS fundamentals behind how agents remember, retrieve, and forget. Activate on: "agent memory", "episodic memory", "vector search algorithm", "HNSW", "memory retrieval", "forgetting curve", "knowledge graph memory", "MemGPT", "Letta", "Zep", "Mem0", "memory consolidation", "temporal retrieval", "agent long-term memory", "memory layer". NOT for: conversation protocol design (use agent-conversation-protocols), agent infrastructure selection (use agentic-infrastructure-2026), building RAG pipelines (use ai-engineer).
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Episodic Memory Algorithms skill?
Use Episodic Memory Algorithms when your Claude Code task falls under the Engineering category — specifically in the ml ai eng area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Episodic Memory Algorithms" or describe the task and let Claude pick). Browse related skills at /category/engineering/.
What is a Claude Code skill and how does the Episodic Memory Algorithms skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Episodic Memory Algorithms is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Engineering category. Learn more at /learn/what-is-a-claude-skill/.
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