memory-debug

Solid

Diagnose Signet memory, recall, source, session, embedding, and graph issues from runtime truth without bypassing scope or provenance.

AI & Automation 226 stars 39 forks Updated today NOASSERTION

Install

View on GitHub

Quality Score: 81/100

Stars 20%
78
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# /memory-debug Use this skill when Signet memory behavior looks wrong: recall is empty, results are stale, a saved memory is missing, source-backed results are not appearing, prompt-submit context is missing, embeddings are unhealthy, or a session is bypassed. Debug from runtime truth. Do not infer from `MEMORY.md` alone; it is generated working context, not the database or the full source of truth. ## Triage Model Classify the symptom before running broad checks: - **Daemon/runtime**: CLI cannot reach Signet, dashboard/API is down, hooks fail. - **Session path**: prompt-submit context is empty, bypass is enabled, runtime path conflict, session dedupe suppresses repeats. - **Write path**: explicit remember fails, dedupes unexpectedly, or writes under the wrong `agentId` / `visibility`. - **Recall path**: explicit recall has no hits, weak ranking, missing source labels, aggregate synthesis fails, or scoped recall looks too broad/thin. - **Embeddings**: semantic recall is weak, embedding coverage is low, provider or dimension config changed. - **Sources**: Obsidian/source results are missing, stale, disconnected, or lack provenance. - **Ontology/graph**: graph traversal, entity linking, assertions, or hygiene is wrong. - **Transcript fallback**: the evidence exists in transcripts but not in memory or source recall. ## 1. Runtime And Scope Start with the live daemon and workspace: ```bash signet status signet daemon status --json curl -s http://localhost:3...

Details

Author
Signet-AI
Repository
Signet-AI/signetai
Created
5 months ago
Last Updated
today
Language
TypeScript
License
NOASSERTION

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

Code & Development Solid

debug-memory

Reproduce observational-memory bugs (reflection, recall, observer, freshness, eviction) by dumping the live `~/.duet/memory.db` into a fixture and driving an eval against it. Use whenever the agent's memory misbehaves — wrong observations, bad reflections, missing recall, runaway tokens — or whenever the user asks to debug, repro, audit, or tune memory.

41 Updated 2 days ago
dzhng
AI & Automation Solid

signet

Operate Signet as the local source-backed substrate for agent identity, scoped memory, provenance, ontology, skills, secrets, sources, and harness integrations.

226 Updated today
Signet-AI
AI & Automation Listed

memory-search

Searches the project's recorded memory (core-memory-kit) — decisions, conventions, architecture, the reasoning behind choices, and where things live — and returns a curated, cited summary. Fire whenever the answer might be something the project already established in past work, HOWEVER the question is phrased — any prior decision, convention, rationale, or "how/where/why is it this way" question, including oblique or roundabout asks ("why is everything so spread out?", "remind me what we settled on for X", "how come these files are tiny?"). Also fire when a "[core-memory-kit] Memory available" hint appears on the prompt. The examples are illustrative, not a checklist — prefer recalling over re-deriving an answer from the code. The session-start snapshot is a bounded index; this skill reaches the rest. Skip only when the question is purely about uncommitted or just-edited live code that memory cannot know, concerns this conversation only, or the user asked to ignore memory.

4 Updated today
LH8PPL