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At a glance

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The philosophical difference

The Hermes Agent architecture (developed by Nous Research) organizes agent memory into a pragmatic four-layer stack:
  1. Prompt Memory: a static snapshot of MEMORY.md and USER.md injected into system prompts.
  2. Session Archive: historical interaction logs indexed via SQLite FTS5 (state.db) for episodic keyword recall.
  3. Procedural Memory: extracted task procedures saved as executable markdown skills.
  4. Pluggable Memory Providers: hooks to external memory stores (e.g. Mem0, Supermemory).
Hermes optimizes for agent self-curation and episodic session history within a local agent CLI runtime. Worlds approaches context from an open-standard, graph-first stance. Rather than relying on flat markdown files or SQLite FTS search alone, Worlds enforces RDF triples where every fact has explicit relationships, temporal validity, and deterministic SPARQL queryability. Where Hermes is an agent runtime managing its own prompt files and SQLite session database, Worlds is a dedicated context engine that Hermes agents (or any other agent runtime) can query as a verifiable memory provider.

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When Worlds fits

  • You need deterministic graph querying (SPARQL) to traverse relationships across complex domain facts.
  • You require fact-level chronological provenance and auditability across all asserted data.
  • You want an open, standards-based RDF memory layer shared across multiple agent runtimes (Claude Code, Letta, Hermes).
  • Your application demands strict compliance, safety, and deterministic filtering where keyword or similarity search alone is insufficient.

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When Worlds does not fit

  • You want an all-in-one local agent CLI framework that manages prompt context files (MEMORY.md) and session history out of the box.
  • You prefer simple FTS5 text search over episodic agent conversations without establishing a formal knowledge graph vocabulary.

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Coexistence

Hermes agents support pluggable memory provider plugins. Hermes can use its internal MEMORY.md for local prompt conventions while connecting Worlds as an external memory provider tool to query authoritative RDF facts via SPARQL during complex multi-step reasoning.