recall
SolidRun explicit Signet recall through the canonical scoped recall path, preserving scores, sources, provenance, supplementary context, and session dedupe metadata.
AI & Automation 277 stars
40 forks Updated yesterday NOASSERTION
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Skill Content
# /recall
Use this skill for targeted explicit recall. It is not the same surface as
prompt-submit context injection.
Signet's canonical explicit recall endpoint is `POST /api/memory/recall`.
The CLI, MCP, and hook recall surfaces should stay thin wrappers around that
contract. Recall combines FTS5, prospective hints, vector similarity,
structured path evidence, graph traversal, optional reranking, source-backed
fallbacks, currentness shaping, and session context dedupe where configured.
Do not describe it as a fixed 70/30 vector/BM25 search.
## When To Use
Use `/recall` when:
- the user asks what Signet remembers or asks for a targeted memory search
- current context is missing an old decision, preference, project fact, or
prior source
- you need provenance, source labels, scores, ids, or no-hit metadata
- you need aggregate recall to synthesize a bounded answer from evidence
- you are debugging recall quality, scoping, or session-dedupe behavior
Do not use `/recall` as a ritual before every task. Session-start and
prompt-submit injection already provide lightweight context. Use explicit
recall when there is a concrete retrieval question.
## CLI
```bash
signet recall "<query>"
```
Useful options:
```bash
signet recall "Signet ontology policy" --agent codex --limit 10
signet recall "vim keybindings" --type preference --tags editor
signet recall "OpenMarketUI evaluator health" --project /mnt/work/openmarketui
signet recall "what did we decide about source truth" --...
Details
- Author
- Signet-AI
- Repository
- Signet-AI/signetai
- Created
- 7 months ago
- Last Updated
- yesterday
- Language
- TypeScript
- License
- NOASSERTION
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