ayvazyan10

engram

"Persistent AI memory backend with semantic search and knowledge graph. Stores episodic, semantic, and procedural memories in a local SQLite database and retrieves the most relevant ones using vector similarity and graph traversal. Use when you need to remember information across sessions, recall past decisions, store facts about a project, detect contradictions between beliefs, or give any AI model a persistent growing brain. All embeddings run locally - no API keys required."

ayvazyan10 9 2 Updated 1mo ago

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Install

npx skillscat add ayvazyan10/engram

Install via the SkillsCat registry.

SKILL.md

Engram AI Memory

Universal AI memory backend — give any AI model persistent, structured memory that survives sessions, systems, and restarts.

Tools (21 total)

Category Tools
Memory store_memory, search_memory, recall_context, add_knowledge, forget
Stats memory_stats, index_status, embedding_status
Lifecycle decay_sweep, decay_policy, re_embed
Contradictions check_contradictions, resolve_contradiction
Tags list_tags, tag_memory
Webhooks webhook_subscribe, webhook_list
Plugins plugin_list
Reflection request_reflection, store_reflection, get_reflections

Recommended workflow

Session start  →  recall_context("current task or question")
During session →  store_memory("decision or finding", type="episodic")
Session end    →  store_memory("session summary", importance=0.8)

Key tools

  • recall_context — primary recall tool. Assembles the most relevant memories for a query and returns formatted context ready to inject into prompts. Call at the start of every session.
  • store_memory — saves episodic events, semantic facts (type="semantic", concept="...") or procedural patterns (type="procedural").
  • search_memory — semantic similarity search with optional type filter and threshold.
  • check_contradictions — detects memories that conflict with a given memory ID.
  • resolve_contradiction — resolves conflicts via strategy: keep_newest, keep_oldest, keep_important, keep_both, or manual.
  • decay_sweep — runs Ebbinghaus forgetting curve decay; archives stale memories and consolidates old episodes into facts.

Configuration

Variable Default Description
ENGRAM_DB_PATH ~/.engram/engram.db SQLite database path
ENGRAM_NAMESPACE (global) Isolate memories per project
ENGRAM_EMBEDDING_MODEL Xenova/all-MiniLM-L6-v2 Local ONNX embedding model

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