How do I install the Semantic Recall skill?

Run npx skillmds@latest add s3yed/semantic-recall in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Semantic Recall safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Semantic Recall?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Semantic Recall free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Semantic Recall?

S3YED (@s3yed) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Semantic Recall by s3yed — Agent Skill

Name: Semantic Recall
Author: S3YED

Semantic Recall

Semantic (vector) memory recall for Clark. Finds facts by MEANING, not just keywords — use when the lexical memory (holographic FTS) misses paraphrases or synonyms, or when you want the most conceptually-relevant stored facts about a topic (owner, projects, tokens, tools, business). Complements the built-in memory; does not replace it.

S3YED e2de439 1.5 KB Updated Sep 17, 2026

File contents

semantic-recall: Vector Memory Layer

Clark's holographic memory is lexical (FTS5 + Jaccard token overlap + SHA-256 hash HRR). It misses synonyms and paraphrases. This skill adds a real learned-embedding semantic layer (fastembed BAAI/bge-small-en-v1.5, ONNX, no torch) over the same memory_store.db facts.

When to use

A recall by exact words returned nothing useful but the concept is likely stored.
You want the top conceptually-similar facts about a person, project, credential, or tool.

Recall a query

/usr/local/lib/hermes-agent/venv/bin/python /root/.hermes/semantic/semantic.py recall "<your natural-language query>" 5

Returns JSON: [{fact_id, score, category, content}, ...] ranked by semantic similarity (higher score = closer).

Re-index after new memories (normally the cron does this every 6h)

/usr/local/lib/hermes-agent/venv/bin/python /root/.hermes/semantic/semantic.py index

Incremental: only embeds new/changed facts, prunes deleted ones. Output JSON: {indexed, deleted, total_facts}.

Stats / health

/usr/local/lib/hermes-agent/venv/bin/python /root/.hermes/semantic/semantic.py stats

Frequently asked questions