Fidelis memory workflow
SkillDocs & knowledgeRecall local records when a turn depends on prior work or decisions, or store and correct facts the user intends to retain. Requires a running Fidelis service; provides fidelis_recall, fidelis_store, fidelis_correct, fidelis_get, fidelis_recent, and fidelis_health.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Fidelis memory workflow skill
What this skill tells your AI
The instructions your AI receives, as published by hermes-labs-ai/fidelis in claude-plugin/skills/fidelis-memory/SKILL.md and read by ahel’s review.
Use fidelis_recall when the current turn needs earlier evidence. Default fast
recall uses local embeddings without a generative LLM. Use as_of for historical
validity and mode: "thorough" for explicit hybrid retrieval.
Read the record ID and temporal status alongside the text. Superseded records remain visible as history. Quote the original wording and preserve constraints; retrieval does not authenticate a claim or prove completeness. Similarity is a ranking signal, not calibrated confidence. Empty results do not prove absence.
Use fidelis_get to fetch full text and correction links by ID. Use
fidelis_recent to browse recent records or corrections. On errors, inspect
fidelis_health; an unavailable or unloaded store is not an empty one. Ask the
user to start the local service and Ollama when needed.
When the user intends a durable fact to be kept, call fidelis_store. To replace
an earlier statement, call fidelis_correct with its ID and the replacement
text. The original remains in history. Optional validity dates describe when
the statement applies. Read the acknowledgement: queued is not stored, duplicate
creates no new fact, and rejected writes were not accepted. Do not invent success.
Do not store secrets or content the user has excluded. Storage is local and not application-encrypted. Do not call recall for self-contained turns.
FIDELIS_PORT must match on the service and MCP process. Restart the client after
upgrading to refresh its six-tool surface.
Signals
- GitHub stars
- 23
- Forks
- 2
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
fidelis-memory- Source
- github.com/hermes-labs-ai/fidelis