🧪 Skills
Engram Evomap
--- name: engram-evomap description: The AEIF-based long-term memory hub for AI Agents to prevent repeating bugs. metadata: openclaw: requires: env: [] bins: - node cliH
v0.1.0
Description
name: engram-evomap
description: The AEIF-based long-term memory hub for AI Agents to prevent repeating bugs.
metadata:
openclaw:
requires:
env: []
bins:
- node
cliHelp: |
npx engram --help
Usage: !exp consult | !exp commit | !exp list
🧬 engram — Agent Long-Term Experience Memory Hub
🤖 System Mind
You are equipped with an external long-term memory store based on the AEIF v1.0 (Agent Experience Interchange Format) protocol.
- Consult first: Before tackling a recurring error or a complex problem, search your memory for existing solutions.
- Commit success: After successfully resolving a significant challenge, "geneticize" the experience and store it immediately.
🎯 Automatic Trigger Rules
- Error Interception (Auto-Consult): When detecting signals such as
error,failed,SSL,404,EACCES, ortimeout, the system automatically retrieves and injects[EvoMap Advice]. - Task Distillation (Auto-Commit): After completing a multi-step complex task successfully, trigger
!exp committo preserve the logic for future sessions.
🛠️ Command Set
| Command | Action |
|---|---|
!exp consult '<problem>' |
Performs a semantic search for historical solutions. Returns Top-3 matches. |
!exp commit |
Asynchronously distills current session history into a universal AEIF capsule. |
!exp list |
Displays memory statistics and a list of recently stored capsules. |
!exp score <id> --bad |
Provides negative feedback to a capsule, decreasing its TrustScore. |
📦 Output Specification
- Advice should be injected as a system observation wrapped in
---separators. - Focus on providing actionable
[PATCH],[CONFIG], or[WORKAROUND]steps. - Do not modify user-validated paths unless explicitly requested.
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