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AutoDream Memory

Name: AutoDream Memory
Author: bigkingcn

作者 Bigkingcn · GitHub ↗ · v1.0.1 · MIT-0

cross-platform ⚠ suspicious

108

总下载

当前安装

版本数

在 OpenClaw 中安装

/install autodream-memory

功能描述

AutoDream - Automatic memory consolidation sub-agent. Periodically (24h +5 sessions) organizes MEMORY.md and memory files, deduplicates, merges, removes stal...

使用说明 (SKILL.md)

AutoDream Skill - 自动记忆整理

核心理念

像 REM 睡眠一样整理记忆。

AutoDream 是一个后台运行的记忆整理子代理，解决长期记忆衰减问题：

记忆文件随时间积累变得混乱
相对日期（如"昨天"）失去意义
过时的调试方案引用已删除的文件
矛盾条目堆积

工作原理

四阶段流程

阶段	操作	输出
1. Orientation	读取当前记忆目录，建立记忆状态地图	记忆文件清单、条目统计
2. Gather Signal	窄搜索会话记录，提取用户纠正、明确保存指令、重复主题、重要决策	高价值信号列表
3. Consolidation	合并新信息，转换相对日期为绝对日期，删除矛盾/过时条目，合并重复	整理后的记忆文件
4. Prune and Index	更新 MEMORY.md 索引，保持\x3C200 行（启动加载阈值）	精简的 MEMORY.md

触发条件

自动触发（双条件）：

距上次整理 ≥ 24 小时且
自上次整理后 ≥ 5 次会话

手动触发：

运行 /dream 命令
或直接告诉智能体"运行 AutoDream 整理记忆"

安全约束

只读模式：只能写入记忆文件，不能修改项目代码
锁文件：防止并发运行
后台执行：不阻塞用户会话
MEMORY.md 限制：保持≤200 行（启动加载阈值）

快速开始

立即运行一次

python3 skills/autodream/scripts/autodream_cycle.py --workspace .

配置定时任务（默认 24 小时）

bash skills/autodream/scripts/setup_24h.sh

自定义间隔

bash skills/autodream/scripts/setup_24h.sh 12h

手动触发整理

python3 skills/autodream/scripts/autodream_cycle.py --workspace . --force

输出文件

memory/autodream/state.json - 运行状态（上次运行时间、会话计数）
memory/autodream/consolidation_report.json - 整理报告
memory/autodream/pruned_entries.json - 被删除的条目
memory/autodream/merged_entries.json - 被合并的条目
memory/autodream/cycle_report.md - 人类可读的整理报告
MEMORY.md - 更新后的记忆索引
memory/topics/*.md - 更新后的主题记忆文件

与 memory-mesh-core 的关系

特性	memory-mesh-core	autodream
主要目标	跨工作区记忆共享	单工作区记忆整理
整理频率	12 小时	24 小时 +5 次会话
记忆范围	本地 + 全局共享	本地记忆文件
输出格式	JSON + GitHub Issue	Markdown + JSON
适合场景	多智能体协作	个人工作区维护

推荐组合使用：

autodream 负责日常记忆整理
memory-mesh-core 负责跨工作区记忆共享

安全规则

绝不删除用户明确标注"重要"的记忆
绝不修改项目源代码
绝不泄露敏感信息（API 密钥、密码等）
删除操作前备份到 memory/autodream/backup/

配置选项

在 skills/autodream/config/config.json 中配置：

{
  "interval_hours": 24,
  "min_sessions": 5,
  "max_memory_lines": 200,
  "backup_enabled": true,
  "dry_run": false,
  "verbose": false
}

版本历史

1.0.0: 初始版本，实现四阶段整理流程
1.0.1: 添加手动触发支持和备份功能
1.0.2: 优化相对日期转换逻辑

社区

问题反馈：https://github.com/wanng-ide/autodream/issues
技能安装：skillhub install autodream

安全使用建议

Before installing or running AutoDream: - Inspect the full autodream_cycle.py (the consolidation phase was truncated in the bundle review). Search that file for any network calls (requests, urllib, aiohttp, curl, subprocess posting to curl) or code that writes outside memory/skill directories. - Do an initial run with dry_run=true (or --dry-run) and/or in a copy of your workspace to see what it would change. The setup script runs the consolidation immediately — avoid running setup_24h.sh if you don't want an immediate pass. - Keep post_enabled off and leave issue_url blank unless you explicitly trust the endpoint. If you need external reporting, audit the code that performs posting. - Because the scripts read sessions/ and other workspace files, run them in a workspace that does not contain secrets or production credentials; consider running in a disposable container or VM first. - Confirm backups are being created (memory/autodream/backup/) and test restores before allowing automatic runs. If you want, provide the rest of autodream_cycle.py (the truncated consolidation/write parts) and I can re-evaluate for any code paths that send data externally or modify non-memory files.

功能分析

Type: OpenClaw Skill Name: autodream-memory Version: 1.0.1 The AutoDream skill is a memory management utility designed to consolidate, deduplicate, and prune an AI agent's long-term memory files and session logs. The code in `autodream_cycle.py` performs legitimate file system operations consistent with its stated purpose, such as reading session JSONL files to extract user corrections and updating `MEMORY.md`. While it implements persistence via a cron-like mechanism in `ensure_openclaw_cron.py` and `setup_24h.sh`, this is a documented feature of the OpenClaw platform for background tasks. No evidence of data exfiltration, malicious command execution, or prompt injection was found.

能力评估

✓ Purpose & Capability

Name/description (automatic memory consolidation) aligns with the provided code and docs. The package contains scripts to scan memory files, sessions, and update MEMORY.md; those are expected for this functionality.

ℹ Instruction Scope

SKILL.md instructs running included scripts and installing a cron. The scripts read workspace/sessions/*.jsonl, memory/*, and update MEMORY.md and memory/autodream/*. That is within the stated purpose, but the code operates over the entire workspace you point it at — so if the workspace contains sensitive files the script will read them (sessions, memory, etc.). The docs assert it 'will not modify project source code' but this is a policy in text; ensure the rest of the script doesn't write outside memory/skill paths. Also setup_24h.sh immediately runs autodream_cycle.py which causes immediate execution on your workspace when installing/setting up.

✓ Install Mechanism

There is no external install or remote-download step in the skill bundle; it's instruction + local scripts. That lowers supply-chain risk. setup_24h.sh and ensure_openclaw_cron.py write local config files under the skill folder and call the local Python script.

ℹ Credentials

The skill requests no environment variables or external credentials. However, setup_24h.sh writes an 'issue_url' and 'post_enabled' field into config.json (controlled by the user-provided arguments). The visible code does not show network exfiltration, but the presence of an issue_url/post_enabled configuration flag raises the possibility that a future or truncated part of the script could POST reports externally. Verify there are no network calls in the remainder of autodream_cycle.py before enabling posting.

✓ Persistence & Privilege

always:false and default invocation settings are used. The skill writes local state/backup files under memory/autodream and skill config under skills/autodream/config; it does not request permanent elevated platform privileges. The setup script will, however, execute the consolidation run immediately when invoked.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install autodream-memory
安装完成后，直接呼叫该 Skill 的名称或使用 /autodream-memory 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.1

v1.0.1: Privacy audit passed, no API keys or personal info included. 4-phase memory consolidation pipeline.

v1.0.0

Initial release: AutoDream memory consolidation skill for OpenClaw

元数据

Slug autodream-memory

版本 1.0.1

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 2

常见问题