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Session History
Search and browse past conversation history across all sessions. Use when recalling prior work, finding old discussions, resuming dropped threads, or when th...
安全通过
⚙️脚本
技能说明
name: session-history description: Search and browse past conversation history across all sessions. Use when recalling prior work, finding old discussions, resuming dropped threads, or when the user references something from a previous conversation that isn't in memory files. Also use when asked to "remember" something discussed before, find "that conversation about X", or continue work from a past session.
Session History
Search through past OpenClaw session transcripts (JSONL files in ~/.openclaw/agents/*/sessions/).
Quick Reference
# Search for conversations about a topic
python3 scripts/search_sessions.py "gclid pipeline error"
# List recent sessions
python3 scripts/search_sessions.py --list --days 3
# Search specific agent's history
python3 scripts/search_sessions.py "flight monitor" --agent main
# Wider time range
python3 scripts/search_sessions.py "quantum encryption" --days 30 --max-results 5
Workflow
- Run
search_sessions.pywith the user's query terms to find relevant sessions - Use
sessions_historytool with thesessionKeyto pull full context from a match - If
sessions_historydoesn't work (old/closed sessions), read the JSONL file directly withread - Summarize what was found — don't dump raw transcripts
When to Use
- User says "remember when we discussed X?" or "we talked about Y last week"
- Resuming a thread that isn't captured in memory files
- Finding a decision, code snippet, or error from a past session
- Cross-referencing what was said vs what's in MEMORY.md
Tips
- Also check
memory_searchfirst — it indexes session transcripts too - Combine both:
memory_searchfor semantic matching,search_sessions.pyfor keyword/exact matching - The script searches user AND assistant messages
- JSONL path format:
~/.openclaw/agents/{agent_id}/sessions/{session_uuid}.jsonl
如何使用「Session History」?
- 打开小龙虾AI(Web 或 iOS App)
- 点击上方「立即使用」按钮,或在对话框中输入任务描述
- 小龙虾AI 会自动匹配并调用「Session History」技能完成任务
- 结果即时呈现,支持继续对话优化