| name | memory-consolidate |
| version | 1.0.0 |
| description | Persistent memory system for OpenClaw agents: reads session logs, extracts facts/decisions/solutions, manages temperature-based lifecycle, and generates MEMORY_SNAPSHOT.md injected into every session. ALWAYS use this skill when the user mentions: memory consolidation, 记忆整理, agent memory, MEMORY_SNAPSHOT, memory health, SNR, signal noise ratio, semantic pipeline, memory cron, session log extraction, facts not being saved, memory stale or missing, 内存优化, optimize agent memory, install memory, memory not working, memory consolidate 报错, cron 怎么配 (when related to memory), 每天自动整理记忆, or any question about why the agent forgets things between sessions. Also activate when user says memory is stale, missing, or broken.
|
memory-consolidate
Scripts live in the directory containing this SKILL.md. No copying needed.
OPENCLAW_WORKSPACE (default: ~/.openclaw/workspace) tells scripts where to read/write.
Install
Create required directories:
mkdir -p $OPENCLAW_WORKSPACE/memory/structured/{archive,candidates,semantic}
Patch OpenClaw config to inject snapshot into agent sessions:
gateway config.patch path="hooks.internal" raw='{"enabled":true,"entries":{"bootstrap-extra-files":{"enabled":true,"paths":["MEMORY_SNAPSHOT.md"]}}}'
Add daily cron (read timezone from USER.md, default UTC):
cron add job={
"name": "Memory Consolidation (daily)",
"schedule": {"kind": "cron", "expr": "0 3 * * *", "tz": "<tz_from_USER.md>"},
"payload": {
"kind": "agentTurn",
"message": "bash $OPENCLAW_WORKSPACE/scripts/memory_consolidate_report.sh",
"thinking": "off",
"timeoutSeconds": 300
},
"sessionTarget": "isolated",
"delivery": {"mode": "announce"}
}
Run initial consolidation and verify:
bash $OPENCLAW_WORKSPACE/scripts/memory_consolidate_report.sh
Semantic Pipeline (LLM-powered)
memory_consolidate_report.sh runs the full pipeline including a semantic consolidation step powered by claude-haiku-4-5-20251001 via the tui provider. This is auto-configured from openclaw.json — no manual API key setup needed. The LLM step clusters related memories, deduplicates, and improves signal quality in MEMORY_SNAPSHOT.md.
Identity
Auto-detected from IDENTITY.md (assistant name) and USER.md (owner name, timezone, language). No config needed if these files exist with - **Key:** Value format.
Config
Edit config.yaml in the directory containing this SKILL.md:
ingest.agent_ids — which agents to scan (default: "main", or ["main", "worker"])ingest.session_hours — lookback window (default: 24)tag_rules — project keyword → tag mappingtemperature.age_lambda — decay speed (default: 0.07)
Health check
python3 $OPENCLAW_WORKSPACE/scripts/memory_consolidate_observe.py
🟢 healthy / 🟡 watch / 🔴 needs tuning
Troubleshooting
| Symptom | Fix |
|---|
| Snapshot shows "Assistant"/"User" | Ensure IDENTITY.md/USER.md have **Name:** format |
| LLM semantic step fails | Check tui provider config in openclaw.json has baseUrl and apiKey |
| Semantic pipeline degraded | Run memory_candidate_extract.py, check import errors |
| SNR too low | Increase temperature.age_lambda in config.yaml |
| No cold items after 2 weeks | Increase age_lambda (0.07 default should work) |
| Memory not updating | Verify OPENCLAW_WORKSPACE env var is set and cron job is active |
