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Memory Setup

Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.

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Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.

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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
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

Memory Setup Skill

Transform your agent from goldfish to elephant. This skill helps configure persistent memory for Moltbot/Clawdbot.

1. Enable Memory Search in Config

Add to ~/.clawdbot/clawdbot.json (or moltbot.json): { "memorySearch": { "enabled": true, "provider": "voyage", "sources": ["memory", "sessions"], "indexMode": "hot", "minScore": 0.3, "maxResults": 20 } }

2. Create Memory Structure

In your workspace, create: workspace/ โ”œโ”€โ”€ MEMORY.md # Long-term curated memory โ””โ”€โ”€ memory/ โ”œโ”€โ”€ logs/ # Daily logs (YYYY-MM-DD.md) โ”œโ”€โ”€ projects/ # Project-specific context โ”œโ”€โ”€ groups/ # Group chat context โ””โ”€โ”€ system/ # Preferences, setup notes

3. Initialize MEMORY.md

  • Create MEMORY.md in workspace root:
  • # MEMORY.md โ€” Long-Term Memory
  • ## About [User Name]
  • Key facts, preferences, context
  • ## Active Projects
  • Project summaries and status
  • ## Decisions & Lessons
  • Important choices made
  • Lessons learned
  • ## Preferences
  • Communication style
  • Tools and workflows

Config Options Explained

SettingPurposeRecommendedenabledTurn on memory searchtrueproviderEmbedding provider"voyage"sourcesWhat to index["memory", "sessions"]indexModeWhen to index"hot" (real-time)minScoreRelevance threshold0.3 (lower = more results)maxResultsMax snippets returned20

Provider Options

voyage โ€” Voyage AI embeddings (recommended) openai โ€” OpenAI embeddings local โ€” Local embeddings (no API needed)

Source Options

memory โ€” MEMORY.md + memory/*.md files sessions โ€” Past conversation transcripts both โ€” Full context (recommended)

Daily Log Format

  • Create memory/logs/YYYY-MM-DD.md daily:
  • # YYYY-MM-DD โ€” Daily Log
  • ## [Time] โ€” [Event/Task]
  • What happened
  • Decisions made
  • Follow-ups needed
  • ## [Time] โ€” [Another Event]
  • Details

Agent Instructions (AGENTS.md)

Add to your AGENTS.md for agent behavior: ## Memory Recall Before answering questions about prior work, decisions, dates, people, preferences, or todos: 1. Run memory_search with relevant query 2. Use memory_get to pull specific lines if needed 3. If low confidence after search, say you checked

Memory search not working?

Check memorySearch.enabled: true in config Verify MEMORY.md exists in workspace root Restart gateway: clawdbot gateway restart

Results not relevant?

Lower minScore to 0.2 for more results Increase maxResults to 30 Check that memory files have meaningful content

Provider errors?

Voyage: Set VOYAGE_API_KEY in environment OpenAI: Set OPENAI_API_KEY in environment Use local provider if no API keys available

Verification

Test memory is working: User: "What do you remember about [past topic]?" Agent: [Should search memory and return relevant context] If agent has no memory, config isn't applied. Restart gateway.

Full Config Example

{ "memorySearch": { "enabled": true, "provider": "voyage", "sources": ["memory", "sessions"], "indexMode": "hot", "minScore": 0.3, "maxResults": 20 }, "workspace": "/path/to/your/workspace" }

Why This Matters

Without memory: Agent forgets everything between sessions Repeats questions, loses context No continuity on projects With memory: Recalls past conversations Knows your preferences Tracks project history Builds relationship over time Goldfish โ†’ Elephant. ๐Ÿ˜

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

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Package contents

Included in package
1 Docs
  • SKILL.md Primary doc