Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Organize and classify OpenClaw knowledge entries into local folders by content type (Research, Decision, Insight, Lesson, Pattern, Project, Reference, Tutori...
Organize and classify OpenClaw knowledge entries into local folders by content type (Research, Decision, Insight, Lesson, Pattern, Project, Reference, Tutori...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Organize your OpenClaw memory files into a structured local knowledge base. Automatically parses MEMORY.md and daily memory files, classifies entries by content type, and stores each as a timestamped markdown file in the appropriate folder.
km sync [options] - Sync memory entries to local files km classify [options] - Parse and classify without storing (JSON output) km summarize [options] - Generate index files for each content type km cleanup [options] - Remove orphaned files km list_types - List all available content types
No API keys needed! The skill uses two locations: Input Workspace: Where MEMORY.md and memory/ daily files are read from. Output Directory: Where organized folders (Research/, Decision/, etc.) are written. Both are detected automatically:
OPENCLAWORKSPACE environment variable --workspace <path> CLI argument Current working directory (if it contains MEMORY.md) Default: ~/.openclaw/workspace
--output-dir <path> CLI argument (relative to workspace or absolute) Default: <workspace>/memory/KM The skill will create the output directory and all content-type folders automatically. If you want to pre-create: mkdir -p ~/.openclaw/workspace/memory/KM/{Research,Decision,Insight,Lesson,Pattern,Project,Reference,Tutorial}
# From any directory (workspace auto-detected) km sync --days_back 7 --cleanup
km sync --workspace /custom/input/workspace --output-dir /custom/output/KM --days_back 7
export OPENCLAWORKSPACE=/custom/input/workspace km sync --output-dir /custom/output/KM --days_back 7
km sync --dry_run --days_back 1
km classify --days_back 3 > entries.json
km summarize # or specify different location km summarize --output_dir ~/some/other/folder
km cleanup --dry_run
km list_types
Assuming default configuration: Input workspace: ~/.openclaw/workspace Output directory: ~/.openclaw/workspace/memory/KM ~/.openclaw/workspace/ โโโ MEMORY.md (source file - you edit this) โโโ memory/ (daily memory files) โ โโโ 2025-02-11.md โ โโโ 2025-02-12.md โ โโโ ... โโโ memory/KM/ (organized output by the skill) โโโ local-sync-state.json โโโ local-sync-log.md โโโ Research/ โ โโโ 20260215T1448_Title_Here_HASH.md โ โโโ ... โโโ Decision/ โโโ Insight/ โโโ Lesson/ โโโ Pattern/ โโโ Project/ โโโ Reference/ โโโ Tutorial/ โโโ Research_Index.md โโโ Decision_Index.md โโโ ... (other index files)
Format: YYYYMMDDTHHMM_Title_With_Underscores_8CHARHASH.md The 8-character content hash suffix prevents filename collisions when titles are identical but content differs.
--- title: "Protocol Name" content_type: "Research" domain: "OpenClaw" certainty: "Verified" impact: "Medium" confidence_score: 8 tags: ["AI", "Automation"] source: "MEMORY.md" source_file: "MEMORY.md" date: "2026-02-11" content_hash: "e4b30e75d0f5a662" --- Entry body content starts here...
Parses MEMORY.md and recent daily memory/*.md files Classifies each entry (content type, domain, certainty, impact, tags, confidence) Computes content hash for deduplication Checks sync state (memory/local-sync-state.json) to skip already synced entries Writes to appropriate folder with timestamp + hash filename Updates state mapping (hash โ filepath) Optional cleanup removes files not in state
Content Type: Keyword matching (Research, Lesson, Decision, Pattern, Tutorial, Reference, Insight) Domain: Contextual inference (AI Models, OpenClaw, Cost, Trading, etc.) Certainty: Based on language (Verified, Likely, Speculative, Opinion) Impact: Importance indicators (High, Medium, Low, Negligible) Tags: Auto-extracted from predefined keyword map Confidence Score: 1โ10 heuristic (source credibility, length, data mentions) Customize by editing the EntryClassifier class in index-local.js.
memory/local-sync-state.json maps content hashes to file paths: { "e4b30e75d0f5a662": "/path/to/Research/202602151440_Title_e4b30e75.md" } This enables idempotent syncs and fast duplicate detection. Do not edit manually unless recovering from corruption.
Automate daily syncs: openclaw cron add \ --name "Daily Knowledge Sync" \ --cron "0 5 * * *" \ --tz "Asia/Singapore" \ --session isolated \ --message "km sync --days_back 7" Note: By default, the skill reads MEMORY.md from ~/.openclaw/workspace and writes organized files to ~/.openclaw/workspace/memory/KM. Use --workspace or --output-dir to customize these locations.
"km: command not found" Run npm link in the skill directory, or add ~/workspace/bin to PATH. No entries found Ensure MEMORY.md uses ## section headers and ### entry titles within recognized sections. Files not created Check write permissions; run with --verbose. Old entries not syncing They may already be in state. Clear memory/KM/local-sync-state.json to force re-sync (caution: may duplicate files). Duplicate files Run km cleanup to remove orphans, then km sync to create missing files. Version: 2.0.0 Changed: 2026-02-15 โ Switched from Notion to local storage, added hash suffixes for uniqueness. Author: Claire (OpenClaw Agent) License: MIT
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.