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Conversation Memory Sync

Name: Conversation Memory Sync
Author: harvnk

作者 Harvnk · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

214

总下载

当前安装

版本数

在 OpenClaw 中安装

/install conversation-memory-sync

功能描述

Automatically syncs and maintains detailed conversation logs and activity digests across agent sessions for persistent memory and context recall.

使用说明 (SKILL.md)

Conversation Memory Sync

Never forget a conversation again. Auto-generates CONVERSATION_LOG.md and ACTIVITY_DIGEST.md from all agent session transcripts.

Use when: you want persistent conversation memory across agent sessions, or when agents keep forgetting past decisions and promises.

What it does

Solves the #1 problem with AI agents: they forget everything between sessions.

This skill includes two Python scripts that run via cron:

sync_conversation_logs.py — Extracts the last 300 messages from every agent session and writes them to CONVERSATION_LOG.md in each agent's workspace. Full messages with timestamps.
sync_activity_digest.py — Creates a compact 1-line-per-action summary in ACTIVITY_DIGEST.md. Ultra-lightweight (~10-20KB per agent).

Setup

Copy the scripts to your workspace
Add a cron job: */30 * * * * python3 /path/to/sync_conversation_logs.py && python3 /path/to/sync_activity_digest.py

Add to each agent's SOUL.md or AGENTS.md:

At EVERY session start, read CONVERSATION_LOG.md and ACTIVITY_DIGEST.md before doing anything else.

What gets captured

All user ↔ agent messages (Telegram, Discord, etc.)
Cron job outputs and results
Decisions, promises, task assignments
Timestamps for everything

What gets filtered

Heartbeat noise (HEARTBEAT_OK)
Empty messages
System metadata

File sizes

CONVERSATION_LOG.md: ~15-20KB per agent (300 messages)
ACTIVITY_DIGEST.md: ~5-20KB per agent (150 entries, 1 line each)
Total for 12 agents: ~110KB — zero performance impact

Requirements

Python 3.8+
OpenClaw with session transcripts (default location: ~/.openclaw/agents//sessions/.jsonl)

Tags

memory, persistence, conversation, logging, multi-agent, session, context, recall

安全使用建议

Do not install or deploy this as-is. The SKILL.md promises two Python scripts but none are included — you would need to obtain those scripts from an external source before anything runs. Before proceeding, ask the publisher for the exact script sources and review their code for data exfiltration, network calls, and unsafe file handling. Consider these specific checks: 1) Inspect the scripts for any network transmission (HTTP, SMTP, etc.) or secret-reading behavior; 2) Verify filtering and redaction of sensitive content (credentials, PII) before logs are written; 3) Avoid blindly editing SOUL.md/AGENTS.md for all agents — prefer a limited pilot and explicit opt-in per agent; 4) Run the scripts in a sandboxed account with strict file permissions and no outbound network when first testing; 5) Prefer encrypted, access-controlled storage for logs and set retention policies; 6) If you cannot obtain or audit the scripts, do not add the cron job or change agent start-up configs. These steps will reduce risk before trusting persistent conversation logs.

功能分析

Type: OpenClaw Skill Name: conversation-memory-sync Version: 1.0.0 The skill bundle is missing the core Python scripts (sync_conversation_logs.py and sync_activity_digest.py) described in SKILL.md, which is a significant red flag for a software package. The documentation instructs the agent to prioritize reading these generated logs at the start of every session, creating a persistent indirect prompt injection vector where malicious content from past transcripts could hijack future agent behavior. Additionally, the skill requires broad access to sensitive session data located in ~/.openclaw/agents/*/sessions/*.jsonl and suggests background execution via cron without providing the underlying code for review.

能力评估

⚠ Purpose & Capability

The description promises two Python scripts that auto-generate CONVERSATION_LOG.md and ACTIVITY_DIGEST.md, but the skill bundle contains no code files. That is a core mismatch: the claimed capability depends on scripts that aren't included. The declared requirements (no env vars, no binaries) don't acknowledge the need to obtain or trust external scripts.

⚠ Instruction Scope

The runtime instructions tell operators to write files into every agent workspace, add cron jobs that run every 30 minutes, and update each agent's SOUL.md/AGENTS.md so agents read the logs at startup. These actions modify other agents' behavior and require access to session transcript files (~/.openclaw/agents/*/sessions/*.jsonl). Instructions also claim to capture all user↔agent messages (Telegram, Discord, etc.). The SKILL.md does not show how sensitive data is filtered, protected, or transmitted — or where to get the missing scripts — granting broad, persistent access to conversation data.

✓ Install Mechanism

This is instruction-only and has no install spec — lowest risk from automatic code download. However, because it depends on external Python scripts that are not bundled, the operator would need to obtain them from elsewhere, which introduces manual-install risk not covered here.

ℹ Credentials

No environment variables, credentials, or special binaries are requested, which aligns with a logging/formatting task. However, the instructions reference reading OpenClaw session files at ~/.openclaw/agents/*/sessions/*.jsonl and writing per-agent CONVERSATION_LOG.md and SOUL.md changes; that implies access to potentially sensitive files and agent config, which should be explicitly acknowledged and justified.

⚠ Persistence & Privilege

The skill recommends adding cron jobs and editing each agent's SOUL.md/AGENTS.md to make agents always read the produced logs at session start. While always:false (not force-installed), these recommended changes give the skill lasting influence over agent behavior across sessions and agents. The skill asks operators to make system-wide or multi-agent configuration changes without providing the actual scripts or safeguards.

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 conversation-memory-sync
安装完成后，直接呼叫该 Skill 的名称或使用 /conversation-memory-sync 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

v1.0.0

- Initial release of Conversation Memory Sync. - Automatically generates persistent conversation logs and action digests for each agent. - Includes two cron-driven scripts: sync_conversation_logs.py for detailed logs, and sync_activity_digest.py for lightweight summaries. - Filters out heartbeat, empty, and system messages to maintain clean logs. - Easy setup with clear file size guidelines and cron job instructions. - Ensures agents recall past sessions, decisions, and promises without performance impact.

元数据

Slug conversation-memory-sync

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题