- name
- self-improving-openclaw
- description
- >-
- metadata
- openclaw
- emoji
- \F9E0
- homepage
- https://github.com/muhamadbasim/oktoclaw
Self-Improving OpenClaw
Structured learning loop for OpenClaw agents: capture → review → promote → maintain.
Quick Start
On first activation, run the init script to create workspace directories:
bash scripts/init-workspace.shThis creates .learnings/ and .self-improving/ in the workspace root.
Core Workflow
1. Capture
When a learning signal fires, log it to the right file in .learnings/:
| Signal | Target file | Category |
|---|---|---|
| User corrects you | LEARNINGS.md | correction |
| User says "always/never do X" | LEARNINGS.md | preference |
| You discover something non-obvious | LEARNINGS.md | insight |
| Your knowledge was outdated | LEARNINGS.md | knowledge_gap |
| Found a better approach | LEARNINGS.md | best_practice |
| Command returns non-zero | ERRORS.md | — |
| Tool/API fails unexpectedly | ERRORS.md | — |
| User wants missing capability | FEATURE_REQUESTS.md | — |
Use the entry format defined in references/logging-format.md.
2. Review
During heartbeat or manual review, scan .learnings/ and evaluate each pending item:
- Check recurrence — search for similar entries.
- If related entry exists: bump
Recurrence-Count, link withSee Also. - If
Recurrence-Count >= 3within 30 days: add to.learnings/REVIEW_QUEUE.md. - Update
.self-improving/heartbeat-state.mdwith review timestamp.
See references/heartbeat-review.md for the full review procedure.
3. Promote
Move validated patterns up the memory tiers:
| Condition | Promote to | Example |
|---|---|---|
| Pattern used 2x, context-specific | .self-improving/domains/*.md or projects/*.md | "This repo uses pnpm" |
| Pattern used 3x in 7-30 days, cross-task | .self-improving/HOT.md | "User prefers concise answers" |
| Stable, long-term applicable | SOUL.md / AGENTS.md / TOOLS.md / MEMORY.md | "Never force push" |
See references/promotion-rules.md for the full promotion/demotion rules.
4. Maintain
Periodically (every 1-2 weeks during heartbeat):
- Demote HOT entries unused for 30 days → domain/project memory.
- Archive domain/project entries unused for 90 days →
.self-improving/archive/. - Compact files exceeding size limits: merge similar entries, summarize verbose ones.
- Never delete without explicit user confirmation. Prefer archive over delete.
Detection Triggers
Log automatically when you notice these signals:
Corrections (→ LEARNINGS.md, category: correction):
- "No, that's not right..."
- "Actually, it should be..."
- "You're wrong about..."
- "I told you before..."
- "Stop doing X"
Preferences (→ LEARNINGS.md, category: preference):
- "I like when you..."
- "Always do X for me"
- "Never do Y"
- "My style is..."
Feature requests (→ FEATURE_REQUESTS.md):
- "Can you also..."
- "I wish you could..."
- "Is there a way to..."
Errors (→ ERRORS.md):
- Non-zero exit codes
- Exceptions or stack traces
- Timeout or connection failure
Ignore (don't log):
- One-time instructions ("do X now")
- Pure context ("in this file...")
- Hypotheticals ("what if...")
Memory Tiers
| Tier | Location | Size limit | Behavior |
|---|---|---|---|
| RAW | .learnings/ | Unlimited | Intake only, not auto-loaded |
| HOT | .self-improving/HOT.md | ≤80 lines | Always loaded at session start |
| WARM | .self-improving/domains/, projects/ | ≤200 lines each | Load on context match |
| COLD | .self-improving/archive/ | Unlimited | Load on explicit query |
Conflict Resolution
When patterns contradict:
- Most specific wins: project > domain > HOT/global.
- Same level: most recent wins.
- If ambiguous: ask user.
Promotion Targets
When a learning is stable enough for permanent workspace memory:
| Learning type | Promote to | Example |
|---|---|---|
| Behavioral patterns | SOUL.md | "Be concise, avoid disclaimers" |
| Workflow improvements | AGENTS.md | "Spawn sub-agents for long tasks" |
| Tool gotchas | TOOLS.md | "Git push needs auth first" |
| User preferences/decisions | MEMORY.md | "Basim prefers Indonesian for casual chat" |
Mark promoted entries as Status: promoted with Promoted-To: <file>.
Transparency
- When applying a learned pattern, cite the source:
(from HOT.md)or(from domains/coding.md:15). - On "memory stats" request, report entry counts per tier.
- On "what have you learned?" request, show recent corrections and HOT entries.
Security Boundaries
- Never store credentials, API keys, tokens, or passwords.
- Never store health data or sensitive personal information.
- Never store third-party private data.
- Redact secrets in error logs — use
[REDACTED]placeholders. - Only write to memory files in private/local workspace sessions.
Workspace Layout
See references/workspace-layout.md for the complete directory structure and file descriptions.
Resources
scripts/
init-workspace.sh— Create.learnings/and.self-improving/directories with template files.
references/
logging-format.md— Entry format for learnings, errors, and feature requests.promotion-rules.md— Full promotion, demotion, and archival rules.heartbeat-review.md— Heartbeat review procedure and state tracking.workspace-layout.md— Complete directory structure reference.
assets/
- Template files copied by
init-workspace.shinto the workspace.