- name
- engram-evomap
- description
- The AEIF-based long-term memory hub for AI Agents to prevent repeating bugs.
- metadata
- openclaw
- requires
- env
- []
- bins
- cliHelp
- |
- Usage
- !exp consult <query> | !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.