/install context-persistence
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:
| Session | Memory Files | History | Cron Context |
|---|---|---|---|
| Main DM | ✅ All injected | ✅ Full | N/A |
| Group Chat | ❌ Not loaded | ✅ Partial | N/A |
| Cron (isolated) | ❌ None | ❌ None | ✅ Payload only |
| Heartbeat | ❌ None | ✅ Partial | N/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: \x3C 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/\x3Ctask>-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: \x3C 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:
# \x3CTask> 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:
- Embed context in payload message (for \x3C1KB state)
- Read from progress files (task loads its own context)
- 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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install context-persistence - 安装完成后,直接呼叫该 Skill 的名称或使用
/context-persistence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
Context Persistence 是什么?
Solve cross-session context storage and sync problems. Use when (1) isolated sessions (cron/subagent/heartbeat) lack context from main session, (2) long-runn... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 282 次。
如何安装 Context Persistence?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install context-persistence」即可一键安装,无需额外配置。
Context Persistence 是免费的吗?
是的,Context Persistence 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Context Persistence 支持哪些平台?
Context Persistence 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Context Persistence?
由 lgy2020(@lgy2020)开发并维护,当前版本 v1.0.0。