supermemoryStore and retrieve memories using the SuperMemory API. Add content, search memories, and chat with your knowledge base.
Install via ClawdBot CLI:
clawdbot install clawdbot51-oss/supermemoryStore, search, and chat with your personal knowledge base using SuperMemory's API.
Configure your SuperMemory API key:
export SUPERMEMORY_API_KEY="sm_oiZHA2HcwT4tqSKmA7cCoK_opSRFViNFNxbYqjkjpVNfjSPqQWCNoOBAcxKZkKBfRVVrEQDVxLWHJPvepxqwEPe"
Add content to your memory store:
# Add a memory with content
supermemory add "Your memory content here"
# Add a memory with a specific description
supermemory add "Important project details" --description "Project requirements"
Search your stored memories:
supermemory search "search query"
Chat with your memory database:
supermemory chat "What do you know about my projects?"
When user wants to store information:
bash /root/clawd/skills/supermemory/scripts/add-memory.sh "content" "description (optional)"
When user wants to find something in their memories:
bash /root/clawd/skills/supermemory/scripts/search.sh "query"
When user wants to query their memory database conversationally:
bash /root/clawd/skills/supermemory/scripts/chat.sh "question"
Store important information:
supermemory add "My API key is xyz" --description "API credentials"supermemory add "https://example.com" --description "Bookmarked link"Find information:
supermemory search "Python"supermemory search "project notes"Query your knowledge:
supermemory chat "What do I know about the marketing strategy?"supermemory chat "Summarize what I've learned about AI"Generated Mar 1, 2026
Researchers can store literature findings, experimental data, and project notes. They can search for specific references or chat with their knowledge base to identify connections between different studies. This helps maintain organized research materials and accelerates literature reviews.
Support teams can store common customer issues, solutions, and product documentation. Agents can quickly search for troubleshooting steps or chat with the memory base to find relevant information for specific customer inquiries. This reduces resolution time and ensures consistent support responses.
Individuals can store important information like passwords, meeting notes, bookmarks, and personal reminders. They can search for specific items or chat with their memory to recall details about past projects or stored information. This serves as a personal digital memory extension.
Writers and content creators can store research materials, article ideas, and reference content. They can search for specific facts or chat with their knowledge base to gather information for new pieces. This helps organize creative materials and maintain consistency across projects.
Project managers can store requirements, meeting notes, decisions, and progress updates. Team members can search for specific project details or chat with the memory base to understand project history and context. This ensures important project information is preserved and accessible.
Offer a free tier with limited storage and basic features, then charge monthly subscriptions for higher storage limits, advanced search capabilities, and team collaboration features. This model attracts individual users while monetizing power users and teams who need more capacity.
Sell annual enterprise licenses to organizations needing secure, scalable memory storage with advanced features like SSO, audit logs, and custom integrations. Include dedicated support, custom training, and SLA guarantees. This targets larger organizations with specific compliance and security requirements.
Charge based on API call volume, storage used, and processing time. Offer pay-as-you-go pricing with monthly usage tiers. This appeals to developers and businesses who want predictable costs scaling with their usage rather than fixed subscription plans.
💬 Integration Tip
Ensure the SUPERMEMORY_API_KEY is properly set in your environment variables before using any commands, and test with simple add/search operations first to verify connectivity.
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