# Send Openclaw Memory Enhancer to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - 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. ## Suggested prompts ### New install ```text 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 ```text 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. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "openclaw-memory-enhancer", "name": "Openclaw Memory Enhancer", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/henryfcb/openclaw-memory-enhancer", "canonicalUrl": "https://clawhub.ai/henryfcb/openclaw-memory-enhancer", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/openclaw-memory-enhancer", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=openclaw-memory-enhancer", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "openclaw-memory-enhancer", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-06T15:07:24.173Z", "expiresAt": "2026-05-13T15:07:24.173Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=openclaw-memory-enhancer", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=openclaw-memory-enhancer", "contentDisposition": "attachment; filename=\"openclaw-memory-enhancer-0.1.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "openclaw-memory-enhancer" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/openclaw-memory-enhancer" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/openclaw-memory-enhancer", "downloadUrl": "https://openagent3.xyz/downloads/openclaw-memory-enhancer", "agentUrl": "https://openagent3.xyz/skills/openclaw-memory-enhancer/agent", "manifestUrl": "https://openagent3.xyz/skills/openclaw-memory-enhancer/agent.json", "briefUrl": "https://openagent3.xyz/skills/openclaw-memory-enhancer/agent.md" } } ``` ## Documentation ### 🧠 OpenClaw Memory Enhancer Give OpenClaw long-term memory - remember important information across sessions and automatically recall relevant context for conversations. ### Core Capabilities CapabilityDescription🔍 Semantic SearchVector similarity search, understanding intent not just keywords📂 Auto LoadAutomatically reads all files from memory/ directory💡 Smart RecallFinds relevant historical memory during conversations🔗 Memory GraphBuilds connections between related memories💾 Local Storage100% local, no cloud, complete privacy🚀 Edge Optimized<10MB memory, runs on Jetson/Raspberry Pi ### Quick Reference TaskCommand (Edge Version)Command (Standard Version)Load memoriespython3 memory_enhancer_edge.py --loadpython3 memory_enhancer.py --loadSearch--search "query"--search "query"Add memory--add "content"--add "content"Export--export--exportStats--stats--stats ### When to Use Use this skill when: You want OpenClaw to remember things across sessions You need to build a knowledge base from chat history You're working on long-term projects that need context You want automatic FAQ generation from conversations You're running on edge devices with limited memory Don't use when: Simple note-taking apps are sufficient You don't need cross-session memory You have plenty of memory and want maximum accuracy (use standard version) ### Edge Version ⭐ Recommended Best for: Jetson, Raspberry Pi, embedded devices python3 memory_enhancer_edge.py --load Features: Zero dependencies (Python stdlib only) Memory usage < 10MB Lightweight keyword + vector matching Perfect for resource-constrained devices ### Standard Version Best for: Desktop/server, maximum accuracy pip install sentence-transformers numpy python3 memory_enhancer.py --load Features: Uses sentence-transformers for high-quality embeddings Better semantic understanding Memory usage 50-100MB Requires model download (~50MB) ### Via ClawHub (Recommended) clawhub install openclaw-memory-enhancer ### Via Git git clone https://github.com/henryfcb/openclaw-memory-enhancer.git \\ ~/.openclaw/skills/openclaw-memory-enhancer ### Command Line # Load existing OpenClaw memories cd ~/.openclaw/skills/openclaw-memory-enhancer python3 memory_enhancer_edge.py --load # Search for memories python3 memory_enhancer_edge.py --search "voice-call plugin setup" # Add a new memory python3 memory_enhancer_edge.py --add "User prefers dark mode" # Show statistics python3 memory_enhancer_edge.py --stats # Export to Markdown python3 memory_enhancer_edge.py --export ### Python API from memory_enhancer_edge import MemoryEnhancerEdge # Initialize memory = MemoryEnhancerEdge() # Load existing memories memory.load_openclaw_memory() # Search for relevant memories results = memory.search_memory("AI trends report", top_k=3) for r in results: print(f"[{r['similarity']:.2f}] {r['content'][:100]}...") # Recall context for a conversation context = memory.recall_for_prompt("Help me check billing") # Returns formatted memory context # Add new memory memory.add_memory( content="User prefers direct results", source="chat", memory_type="preference" ) ### OpenClaw Integration # In your OpenClaw agent from skills.openclaw_memory_enhancer.memory_enhancer_edge import MemoryEnhancerEdge class EnhancedAgent: def __init__(self): self.memory = MemoryEnhancerEdge() self.memory.load_openclaw_memory() def process(self, user_input: str) -> str: # 1. Recall relevant memories memory_context = self.memory.recall_for_prompt(user_input) # 2. Enhance prompt with context enhanced_prompt = f""" {memory_context} User: {user_input} """ # 3. Call LLM with enhanced context response = call_llm(enhanced_prompt) return response ### Memory Types TypeDescriptionExampledaily_logDaily memory filesmemory/2026-02-22.mdcapabilityCapability recordsSkills, toolscore_memoryCore conventionsImportant rulesqaQuestion & AnswerQ: How to... A: You should...instructionDirect instructions"Remember: always do X"solutionTechnical solutionsStep-by-step guidespreferenceUser preferences"User likes dark mode" ### Memory Encoding (Edge Version) Keyword Extraction: Extract important words from text Hash Vector: Map keywords to vector positions Normalization: L2 normalize the vector Storage: Save to local JSON file ### Memory Retrieval Query Encoding: Convert query to same vector format Keyword Pre-filter: Fast filter by common keywords Similarity Calculation: Cosine similarity between vectors Ranking: Return top-k most similar memories ### Privacy Protection All data stored locally in ~/.openclaw/workspace/knowledge-base/ No network requests No external API calls No data leaves your device ### Edge Version Vector Dimensions: 128 Memory Usage: < 10MB Dependencies: None (Python stdlib) Storage Format: JSON Max Memories: 1000 (configurable) Query Latency: < 100ms ### Standard Version Vector Dimensions: 384 Memory Usage: 50-100MB Dependencies: sentence-transformers, numpy Storage Format: NumPy + JSON Model Size: ~50MB download Query Latency: < 50ms ### Configuration Edit these parameters in the code: self.config = { "vector_dim": 128, # Vector dimensions "max_memory_size": 1000, # Max number of memories "chunk_size": 500, # Content chunk size "min_keyword_len": 2, # Minimum keyword length } ### No results found # Lower the threshold results = memory.search_memory(query, threshold=0.2) # Default 0.3 # Increase top_k results = memory.search_memory(query, top_k=10) # Default 5 ### Memory limit reached The system automatically removes oldest memories when limit is reached. To increase limit: self.config["max_memory_size"] = 5000 # Increase from 1000 ### Slow performance Use Edge version instead of Standard Reduce max_memory_size Use keyword pre-filtering (automatic) ### Contributing Fork the repository Create a feature branch Make your changes Submit a Pull Request ### License MIT License - See LICENSE file for details. ### Acknowledgments Built for the OpenClaw ecosystem Optimized for edge computing devices Inspired by long-term memory systems in AI Not an official OpenClaw or Moonshot AI product. Users must provide their own OpenClaw workspace and API keys. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: henryfcb - Version: 0.1.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-06T15:07:24.173Z - Expires at: 2026-05-13T15:07:24.173Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/openclaw-memory-enhancer) - [Send to Agent page](https://openagent3.xyz/skills/openclaw-memory-enhancer/agent) - [JSON manifest](https://openagent3.xyz/skills/openclaw-memory-enhancer/agent.json) - [Markdown brief](https://openagent3.xyz/skills/openclaw-memory-enhancer/agent.md) - [Download page](https://openagent3.xyz/downloads/openclaw-memory-enhancer)