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Reclaw

Use reclaw to extract and summarize ChatGPT, Claude, and Grok history exports into OpenClaw memory or a Zettelclaw vault.

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Use reclaw to extract and summarize ChatGPT, Claude, and Grok history exports into OpenClaw memory or a Zettelclaw vault.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

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. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
2026.3.11-3

Documentation

ClawHub primary doc Primary doc: SKILL.md 11 sections Open source page

Reclaw Memory System

Reclaw is an append-only event log that replaces daily memory files. It assumes the current OpenClaw environment already has the Reclaw plugin installed. All memory lives in log.jsonl as structured entries. Extraction happens automatically at session end — you don't write to the log directly. Your job is to state information clearly in conversation so the extraction hook captures it.

How Memory Works

MEMORY.md is auto-loaded into every session. It has a manual section (goals, preferences) and a generated Reclaw memory snapshot updated nightly. Reclaw session summary is written into MEMORY.md after each session extraction. Subject markdown projections are generated under ~/.openclaw/reclaw/memory/ so OpenClaw can semantically index event-log content through its builtin markdown memory path. memory_search finds entries by keyword, type, subject, or status when the Reclaw plugin has registered that tool in the current OpenClaw environment, and can hit semantic results from MEMORY.md plus generated subject projections. memory_get retrieves a specific entry by ID, reads MEMORY.md, or fetches a full session transcript when the Reclaw plugin has registered that tool in the current OpenClaw environment. Start with what's already in context (steps 1-3). Only call tools when you need something specific.

Entry Types

TypeWhat it capturesKey detailtaskAction items, follow-upsHas status: open or donefactUser-specific information learnedPreferences, events, observations, milestonesdecisionA choice with reasoningUse detail for the "why"questionAn unresolved open loopResolved by later entries on the same subjectsession_summarySession boundary stateOne per session, summarizes what's in-flight

Subjects

Every non-session_summary entry has a subject — a kebab-case slug like auth-migration or reclaw. Subjects are tracked in a registry with a type: project, person, system, or topic (default). When discussing something new, use a clear kebab-case slug. The extraction hook auto-creates subjects it hasn't seen. To explicitly manage subjects: # List all subjects openclaw reclaw subjects list # Add a subject with a type openclaw reclaw subjects add auth-migration --type project openclaw reclaw subjects add alice-chen --type person # Rename a subject (updates registry and all log entries) openclaw reclaw subjects rename old-slug new-slug

Using memory_search

Combines structured log filters with keyword search and semantic search over MEMORY.md plus generated subject projections. # Keyword search memory_search({"query": "webhook retries"}) # Structured filters memory_search({"type": "decision", "subject": "auth-migration"}) memory_search({"type": "task", "status": "open"}) memory_search({"type": "question"}) # Combined memory_search({"query": "backoff", "type": "fact", "subject": "auth-migration"}) At least one of query, type, subject, or status is required.

Markdown Projections

Reclaw keeps one generated markdown file per subject under ~/.openclaw/reclaw/memory/. These files are derived from log.jsonl and exist so OpenClaw's builtin markdown indexer can semantically search event-log content. Treat projection files as generated output — don't manually edit them Successful live extraction refreshes touched subject projections automatically Successful non-dry-run imports refresh the full projection set automatically If the index seems stale, rebuild with openclaw reclaw projection refresh

Using memory_get

Three lookup modes based on the path value: # By entry ID (12-char nanoid from search results) memory_get({"path": "r7Wp3nKx_mZe"}) # By session transcript (from an entry's session field) memory_get({"path": "session:abc123def456"}) # By file path memory_get({"path": "MEMORY.md"}) Reading an entry by ID increments its usage score, which helps it persist in the nightly memory snapshot.

Citations

When referencing a prior event in conversation, cite it as [<12-char-id>] (e.g., [r7Wp3nKx_mZe]). This format is tracked for usage scoring — cited entries are more likely to appear in future memory snapshots.

Corrections and Updates

The log is append-only. To correct something: State the correction clearly in conversation. Extraction writes a new entry on the same subject. To mark a task done, say so explicitly. Extraction emits a new task entry with status: "done". To answer a question, discuss the resolution. Extraction captures the answer as a fact or decision. Old entries are never modified. Current state is reconstructed by reading a subject's entries chronologically.

Hard Filter

Only user-specific information belongs in the log. Ask: "Would I need to know this person to know this?" If a general-purpose LLM could produce the content without user context, it should not be extracted. No generic knowledge, no dependency lists, no boilerplate.

CLI Commands

# Recent log entries openclaw reclaw log openclaw reclaw log --type decision --subject auth-migration --limit 10 # Search with filters openclaw reclaw search "webhook" openclaw reclaw search --type task --status open openclaw reclaw search --subject auth-migration --from 2026-02-01 --to 2026-03-01 # Trace a subject's chronological history openclaw reclaw trace openclaw reclaw trace --subject auth-migration openclaw reclaw trace <entry-id> # Subject management openclaw reclaw subjects list openclaw reclaw subjects add <slug> --type <project|person|system|topic> openclaw reclaw subjects rename <old-slug> <new-slug> # Refresh generated subject markdown projections openclaw reclaw projection refresh openclaw reclaw projection list # Regenerate the MEMORY.md memory snapshot now openclaw reclaw snapshot refresh # Force-refresh MEMORY.md session summary block from log openclaw reclaw summary refresh # Import historical conversations openclaw reclaw import <chatgpt|claude|grok|openclaw> <file> openclaw reclaw import status openclaw reclaw import resume <jobId> # Setup openclaw reclaw init openclaw reclaw verify openclaw reclaw uninstall

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc