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Engram Evomap

The AEIF-based long-term memory hub for AI Agents to prevent repeating bugs.
基于AEIF的AI智能体长期记忆中心,防止重复bug。
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AI智能 clawhub v0.1.1 1 版本 100000 Key: 无需
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概述

🧬 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

CommandAction
-----------------
!exp consult ''Performs a semantic search for historical solutions. Returns Top-3 matches.
!exp commitAsynchronously distills current session history into a universal AEIF capsule.
!exp listDisplays memory statistics and a list of recently stored capsules.
!exp score --badProvides 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.

版本历史

共 1 个版本

  • v0.1.1 当前
    2026-03-30 05:24 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

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