Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Brain CMS
Neuroscience-based multi-layer memory system for OpenClaw agents that improves context efficiency using semantic schemas, vector stores, and sleep cycle cons...
skill openclawclawhub Free
Neuroscience-based multi-layer memory system for OpenClaw agents that improves context efficiency using semantic schemas, vector stores, and sleep cycle cons...
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0 stars Unverified but indexed
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, brain_scripts/index_memory.py, brain_scripts/nrem.py, brain_scripts/query_memory.py, brain_scripts/rem.py, install.py
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
- 1.0.0
Provenance
- Publisher
- harrey401
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Brain CMS π§
A neuroscience-inspired memory architecture for OpenClaw agents. Replaces flat file injection with sparse, semantic, frequency-gated memory loading.
What This Installs
memory/ βββ INDEX.md β Hippocampus: topic router + cross-links βββ ANCHORS.md β Permanent high-significance event store βββ schemas/ β Domain-specific semantic schemas (you create these) memory_brain/ βββ index_memory.py β Embeds schemas into LanceDB vector store βββ query_memory.py β Semantic similarity search βββ nrem.py β NREM sleep cycle (compression + anchor promotion) βββ rem.py β REM sleep cycle (LLM consolidation via Ollama) βββ vectorstore/ β LanceDB database (auto-created)
Setup (one-time)
# 1. Run the installer python3 ~/.openclaw/workspace/skills/brain-cms/install.py # 2. Index your schemas cd ~/.openclaw/workspace/memory_brain .venv/bin/python3 index_memory.py # 3. Test retrieval .venv/bin/python3 query_memory.py "your topic here" --sources-only
How It Works
Boot sequence: Load MEMORY.md (lean core) + today's daily log. Nothing else. When a topic appears: Read memory/INDEX.md β load only the relevant schemas (spreading activation). Check memory/ANCHORS.md for high-significance events. For ambiguous topics: Run semantic search: memory_brain/.venv/bin/python3 memory_brain/query_memory.py "message text" --sources-only Auto-schema creation: When a new significant project or domain appears: Create memory/<topic>.md Add to INDEX.md with triggers + priority + cross-links Re-index: memory_brain/.venv/bin/python3 memory_brain/index_memory.py Sleep cycles: # NREM β run on shutdown (~30s, no LLM) cd ~/.openclaw/workspace/memory_brain && .venv/bin/python3 nrem.py # REM β run weekly (2-5 min, uses local llama3.2:3b, free) cd ~/.openclaw/workspace/memory_brain && .venv/bin/python3 rem.py
Memory Layers (CMS)
LayerFilesWhen loadedPurposeWorkingMEMORY.md + today logEvery sessionCore contextEpisodicmemory/YYYY-MM-DD.mdSession bootRecent eventsSemanticmemory/*.md schemasOn triggerDomain knowledgeAnchorsmemory/ANCHORS.mdOn CRITICAL topicsPermanent ground truthVectormemory_brain/vectorstore/On demandSemantic search
Tagging Anchors
In any daily log, tag high-significance events: [ANCHOR] Major demo success β full pipeline working end-to-end NREM auto-promotes these to ANCHORS.md on next shutdown.
Token Savings
Typical MEMORY.md: 150-300 lines injected every session. With Brain CMS: ~50-line core + schemas loaded only when relevant. Estimated savings: 40-60% reduction in context tokens per session.
Requirements
Python 3.10+ Ollama (for embeddings + REM consolidation) 500MB+ storage for vector store and models lancedb, numpy, pyarrow, requests (auto-installed)
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Scripts1 Docs
- SKILL.md
- brain_scripts/index_memory.py
- brain_scripts/nrem.py
- brain_scripts/query_memory.py
- brain_scripts/rem.py
- install.py