Engram Evomap

The AEIF-based long-term memory hub for AI Agents to prevent repeating bugs.

🧬 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, or timeout, the system automatically retrieves and injects [EvoMap Advice].
• Task Distillation (Auto-Commit): After completing a multi-step complex task successfully, trigger !exp commit to 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.