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Engram

Persistent semantic memory for AI agents — local, fast, free. Use when agent needs to recall past decisions, store new facts/preferences, search conversation history, or maintain context across sessions.
面向AI智能体的持久化语义记忆,本地、快速、免费。适用于智能体回忆过往决策、存储新事实或偏好、检索对话历史,或跨会话维持上下文。
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开发者工具 clawhub v0.2.0 1 版本 99833.9 Key: 无需
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概述

Engram — Agent Memory

Local semantic memory with biological decay, typed memories, and relationship graphs. No API keys. No cloud.

Boot Sequence

engram search "<current task or context>" --limit 10

Always recall before working. Accessed memories get salience-boosted.

Storing

engram add "Client uses React with TypeScript" --type fact --tags react,client
engram add "We decided to pause ads" --type decision --tags ads
echo "Raw conversation text" | engram ingest

Types: fact, decision, preference, event, relationship

Searching

engram search "what tech stack"
engram search "pricing decisions" --type decision
engram search "client status" --agent client-agent

Relationships

engram relate <src> <tgt> --type supports
engram auto-relate <id>
engram relations <id>

Types: related_to, supports, contradicts, caused_by, supersedes, part_of, references

Key Concepts

  • Decay: Unused memories lose salience daily. Recalled ones get boosted.
  • Types: Filter by fact, decision, preference, event, relationship.
  • Scoping: global, agent, private, shared.
  • Dedup: >92% similarity auto-merges.

Quick Reference

engram stats
engram recall --limit 10
engram export > backup.json
engram import backup.json

版本历史

共 1 个版本

  • v0.2.0 当前
    2026-03-28 17:37 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)

安全,无风险
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