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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/engramist-recall
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data
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What's inside
- Skill name
recall- Description
- None
- License
- Apache-2.0
- Instructions
- 67 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- missing YAML frontmatter
- name: missing
- description: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# Recalling Past Decisions and Context **BEFORE answering ANY question about past decisions, architecture, constraints, or project history, you MUST check the Brain's memory.** ## Quick Start Not sure which tool to use? Call `memory_decision` first: ``` memory_decision(query="<user's question>", session_id="<session>") ``` It returns a `recommended_tool` field telling you exactly which tool to call next. If confidence is low, skip the recall. ## Mandatory Recall Triggers | When You See This | You MUST Call This | |---|---| | Questions about past decisions | `current_truth(query="<decision topic>")` | | "Why did we choose X?" | `current_truth(query="decision about X")` | | Architecture or design questions | `current_truth(query="<architecture topic>")` | | Multi-entity or broad context needs | `compile_context(query="<broad topic>")` | | "Tell me everything about X" | `compile_context(query="X")` | | Not sure which tool to use | `memory_decision(query="<question>")` | | Process or procedure questions | `recall_procedures(query="<process>")` | | "What went wrong last time?" | `recall_relevant_lessons(query="<topic>")` | | "What happened this week?" | `reconstruct_timeline(limit=20)` | | "What changed since yesterday?" | `diff_since(since_iso="<ISO timestamp>")` | **Do NOT answer from your context window alone.** The Brain's graph is more reliable than your training data for project-specific facts. ## Tool Reference | Tool | When to Use | |---|---| | `current_truth` | Single-topic recall: "why did we choose X?", "what's the constraint on Y?" | | `compile_context` | Multi-entity queries: "tell me everything about the auth system", broad context needs | | `memory_decision` | Not sure which tool? Call this first — it recommends the right retrieval tool | | `recall_procedures` | "How do we deploy?", "What's the process for X?" — procedural knowledge | | `recall_relevant_lessons` | "What went wrong last time?", "Any lessons about X?" — past outcomes | | `reconstruct_timeline` | "What happened this week?", "When did we decide X?" — temporal queries | | `analogical_search` | "Have we done something like this before?" — cross-project patterns | | `explore_graph` | Browse entity connections: "What's related to X?" | | `diff_since` | "What changed since yesterday?" — recent changes | ## Scoping **ALWAYS use scope 'both' when the question involves:** - Multi-project decisions or patterns - Constraints that span multiple services or domains - When you're unsure which scope applies ## Anti-Bloat Rules - Use top 3 results unless exhaustive review is specifically needed. - Summarize compactly — memory informs your answer, it IS NOT the answer. - Do not paste raw memory output. Summarize in 2-3 sentences. - If results include a `bloat_warning`, mention to the user that the conversation is getting long. ## How to Use Results - Results are ranked by relevance and confidence - High pathway_strength = frequently accessed, well-established knowledge - Items marked `confidence_low` are tentative — flag the uncertainty to the user - The Brain's graph is more reliable than your context window for historical facts - If recall returns nothing relevant, say so — don't fabricate context
From engramist/hippocampy, Apache-2.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- May 26, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/engramist/hippocampy
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Campy-enhanced diagnosis loop for hard bugs and performance regressions.
SkillCFreshness: CClaude Code +9 - 0.474score
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engramist
Deep context briefing from Campy's knowledge graph.
SkillCFreshness: CClaude Code +9 - 0.474score
graph-expert
engramist
Graph database expertise and architectural consulting.
SkillCFreshness: CClaude Code +9 - 0.474score
learn
engramist
Teach Campy a new pattern, procedure, or lesson.
SkillCFreshness: CClaude Code +9 - 0.471score
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Cite this page
recall skill. Agent Mart. https://agentmart.dev/skills/engramist-recall (last updated 2026-10-24)