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agent-interchange-formats vs episodic-memory-algorithms

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.

Side-by-side

Nameagent-interchange-formatsepisodic-memory-algorithms
DescriptionData structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context…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,…
CategoryEngineeringEngineering
Sub-categoryworkflow-orchestrationml-ai-eng
Tagsai:agent
Authorcuriositechcuriositech
License
Install/add-skill agent-interchange-formats/add-skill episodic-memory-algorithms

Tag overlap

Shared

Only in agent-interchange-formats ai:agent

Only in episodic-memory-algorithms

Sample code from each SKILL.md

agent-interchange-formats

Agent communication scenario?
├── Single agent calling tools?
│   ├── Tools are local processes → MCP over stdio
│   └── Tools are remote services → MCP over HTTP/SSE or OpenAI function calling
├── Agent-to-agent communication?
│   ├── Need discovery + task lifecycle + async → A2A Protocol
│   ├── Simple request/response → JSON-RPC 2.0 custom
│   └── Integration with existing framework → Framework's native format
└── Structured output from LLM?
    ├── Machine-readable payload (APIs, schemas) →…

episodic-memory-algorithms

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…

When to choose each

agent-interchange-formats — Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context…

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.

Open agent-interchange-formats → Open episodic-memory-algorithms →

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