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Clawhub Memory Tiers

by @dirtyrootsstudio

Tiered memory system for OpenClaw agents. Gives agents instant context on startup with a 4-line state snapshot (L0) and 7-day rolling context (L1). Eliminate...

Versionv1.0.0
βš™οΈ Configuration

Step 1: Create L0.md in your agent's workspace

# L0 β€” [AGENT_NAME] Quick State

You are [AGENT_NAME]. [One sentence describing role and purpose.] Current focus: [Top priority right now β€” what matters most this week.] Last run: [Date and one-line summary of last activity, or "No runs yet."] Flags: [Critical state warnings β€” cron status, credit limits, blockers. "None" if clear.]

Example β€” a content agent:

# L0 β€” WRITER Quick State

You are WRITER. Content engine for the company blog and social accounts. Current focus: Draft 3 LinkedIn posts promoting the new pricing page. Last run: 2026-03-15 β€” Generated 2 blog teasers and 1 thought leadership post. Flags: Publishing queue has 8 posts loaded through Mar 22. No blockers.

Example β€” a monitoring agent:

# L0 β€” WATCHDOG Quick State

You are WATCHDOG. Security monitor for the production environment. Current focus: Track error rates after the v2.4 deploy. Last run: 2026-03-16 β€” Scanned logs, no anomalies. Alert threshold at 2% error rate. Flags: Grafana dashboard unreachable intermittently. Investigate if persists.

Step 2: Create L1.md in your agent's workspace

```markdown

L1 β€” [AGENT_NAME] Rolling Context

View on ClawHub
TERMINAL
clawhub install clawhub-memory-tiers

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