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context-persistence上下文持久化

Agent Skill

context-persistence 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

8,924

周安装

361

GitHub Stars

1

下载量

2,801
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:context-persistence(上下文持久化)
来源仓库:https://github.com/lgy2020/context-persistence
安装命令:
openclaw skills install context-persistence
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install context-persistence

简介

context-persistence 解决跨会话上下文存储与同步问题,支持隔离会话补全。

  • 适用于 cron、子代理或心跳等独立进程缺乏主会话上下文的情况。
  • 可处理长时间运行任务中的上下文持久化与恢复需求。
  • 安装前需确认共享存储机制与并发访问控制,避免数据竞争。
  • 适合分布式代理架构与多实例协同工作的复杂系统。

SKILL.md

name
context-persistence
description
Solve cross-session context storage and sync problems. Use when (1) isolated sessions (cron/subagent/heartbeat) lack context from main session, (2) long-running tasks need progress tracking across sessions, (3) multiple sessions need shared state, (4) users report "agent doesn't remember what happened", (5) designing memory/progress systems for AI agents. Triggers on "context sync", "session memory", "progress tracking", "cross-session state", "memory mechanism", "persist progress".

Context Persistence & Cross-Session Sync

Design and implement persistent context systems that survive session boundaries.

Core Problem

OpenClaw has multiple session types with different context access:

SessionMemory FilesHistoryCron Context
Main DM✅ All injected✅ FullN/A
Group Chat❌ Not loaded✅ PartialN/A
Cron (isolated)❌ None❌ None✅ Payload only
Heartbeat❌ None✅ PartialN/A
Subagent❌ None❌ None✅ Task only

Result: State created in one session is invisible to others unless persisted to files.

Architecture: Three-Layer Memory System

Layer 1: Long-Term Memory (MEMORY.md)

  • What: Curated facts, decisions, lessons, key state
  • Who writes: Main session only
  • Who reads: Main session only (injected via AGENTS.md)
  • Update frequency: On significant events, periodic review during heartbeats
  • Size limit: < 200 lines (context budget)

Layer 2: Daily Logs (memory/YYYY-MM-DD.md)

  • What: Raw chronological notes, conversations, decisions
  • Who writes: Any session that has something to record
  • Who reads: Main session (at startup), heartbeats (for review)
  • Update frequency: Real-time as events happen
  • Size limit: Unbounded (not injected into context)

Layer 3: Task Progress Files (memory/<task>-progress.md)

  • What: Structured progress for long-running work
  • Who writes: Any session doing the task
  • Who reads: Any session continuing the task
  • Update frequency: At task boundaries (session end, checkpoints)
  • Size limit: < 300 lines

The Key Insight

Files are the only cross-session communication channel. In-memory state dies with the session. Files survive.

Pattern 1: Progress Tracking

For tasks spanning multiple sessions (source code reading, data analysis, etc.)

See references/progress-tracking.md for full template.

Essential elements:

# <Task> Progress
- Total: X items
- Completed: Y items  
- Progress: Z%
## Completed List (dedup)
## Current Position / Next Steps
## Key Findings

Pattern 2: Cron Job Context Injection

Isolated cron sessions have NO access to workspace memory. Solutions:

  1. Embed context in payload message (for <1KB state)
  2. Read from progress files (task loads its own context)
  3. Shared state file (coordination between sessions)

See references/cross-session-sync.md for patterns.

Pattern 3: Main Session Initialization

The AGENTS.md startup sequence ensures context loading:

1. Read SOUL.md (persona)
2. Read USER.md (who you help)
3. Read memory/YYYY-MM-DD.md (today + yesterday)
4. If main session: also read MEMORY.md

This is the ONLY automated context loading. Everything else must be explicit.

Quick Checklist

When designing context for a new task:

  • [ ] Can this span multiple sessions? → Create progress file
  • [ ] Does cron/subagent need this? → Embed in payload or file
  • [ ] Is this a fact to remember? → Update MEMORY.md
  • [ ] Is this a raw event? → Append to daily log
  • [ ] Should future sessions know this? → Write it DOWN, never rely on memory

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.4%
按下载量换算2,028

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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