Two Engineering Claude Code skills, side by side. Pick the right skill for your workflow with a side-by-side look at metadata, sample code, and install commands.
| Name | always-on-agent-architecture | episodic-memory-algorithms |
|---|---|---|
| Description | Architecture and systems design for building always-on AI agents with episodic memory. Covers the memory hierarchy (core/recall/archival), persistence layers, agent server infrastructure, vector stores, and framework… | 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,… |
| Category | Engineering | Engineering |
| Sub-category | architecture | ml-ai-eng |
| Tags | ai:agent | — |
| Author | curiositech | curiositech |
| License | — | — |
| Install | /add-skill always-on-agent-architecture | /add-skill episodic-memory-algorithms |
Q1: Do you want a full agent runtime (server, APIs, tools)?
├─ Yes → Use Letta (most complete, production-ready)
└─ No, I have my own agent loop
├─ Q2: Do you need temporal/relationship tracking?
│ ├─ Yes → Use Zep/Graphiti (best temporal knowledge graph)
│ └─ No → Go to Q3
│ ├─ Q3: Do you need graph + vector hybrid?
│ │ ├─ Yes → Use Mem0 (graph mode)
│ │ └─ No → Go to Q4
│ │ ├─ Q4: Already on LangGraph?
│ │ │ ├─ Yes → Use LangMem
│…What type of facts does your agent need to remember?
│
├─ User identity + preferences ONLY
│ └─ Use: Core memory (always in context) + simple vector store
│ Algorithm: Flat search or small HNSW (<10K entries)
│ Reasoning: Static facts don't need complex temporal tracking
│
├─ Past conversations + events
│ ├─ Need fact change tracking over time?
│ │ ├─ YES → Bi-temporal knowledge graph (Zep/Graphiti approach)
│ │ │ Algorithm: Triple store with (validFrom, ingestedAt) timestamps…always-on-agent-architecture — Architecture and systems design for building always-on AI agents with episodic memory. Covers the memory hierarchy (core/recall/archival), persistence layers, agent server infrastructure, vector stores, and framework…
episodic-memory-algorithms — 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,…
Both are free to install. If you're unsure, install both — Claude Code skills are isolated by filename and only collide if their trigger phrases overlap (rare). The richest signal is the SKILL.md body itself — open both skill pages and read the first paragraph of each.
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