Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Hybrid Memory
Hybrid memory strategy combining OpenClaw's built-in vector memory with Graphiti temporal knowledge graph. Use when you need to recall past context, answer temporal questions ("when did X happen?"), or search memory files. Provides decision framework for when to use memory_search vs Graphiti.
skill openclawclawhub Free
Hybrid memory strategy combining OpenClaw's built-in vector memory with Graphiti temporal knowledge graph. Use when you need to recall past context, answer temporal questions ("when did X happen?"), or search memory files. Provides decision framework for when to use memory_search vs Graphiti.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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
- 1.0.1
Provenance
- Publisher
- clawdbrunner
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Hybrid Memory System
Two memory systems, each with different strengths. Use both.
When to Use Which
Question TypeToolExampleDocument contentmemory_search"What's in GOALS.md?"Curated notesmemory_search"What are our project guidelines?"Temporal factsGraphiti"When did we set up Slack?"ConversationsGraphiti"What did the user say last Tuesday?"Entity trackingGraphiti"What projects involve Alice?"
memory_search (Built-in)
Semantic search over markdown files (MEMORY.md, memory/**/*.md). memory_search query="your question" Then use memory_get to read specific lines if needed.
Graphiti (Temporal)
Search for facts with time awareness: graphiti-search.sh "your question" GROUP_ID 10 Log important facts: graphiti-log.sh GROUP_ID user "Name" "Fact to remember" Common group IDs: main-agent โ Primary agent user-personal โ User's personal context
Recall Pattern
When answering questions about past context: Temporal questions โ Check Graphiti first Document questions โ Use memory_search Uncertain โ Try both, combine results Low confidence โ Say you checked but aren't sure
AGENTS.md Template
Add to your AGENTS.md: ### Memory Recall (Hybrid) **Temporal questions** ("when?", "what changed?", "last Tuesday"): ```bash graphiti-search.sh "query" main-agent 10 Document questions ("what's in X?", "find notes about Y"): memory_search query="your query" When answering past context: check Graphiti for temporal, memory_search for docs. ## Setup Full setup guide: https://github.com/clawdbrunner/openclaw-graphiti-memory **Part 1: OpenClaw Memory** โ Configure embedding provider (Gemini recommended) **Part 2: Graphiti** โ Deploy Docker stack, install sync daemons
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md