lily-memoryPersistent memory plugin for OpenClaw agents. Hybrid SQLite FTS5 keyword + Ollama vector semantic search with auto-capture, auto-recall, stuck-detection, and...
Install via ClawdBot CLI:
clawdbot install kevinodell/lily-memoryGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
/etc/passwdPotentially destructive shell commands in tool definitions
Exec(Calls external URL not in known-safe list
http://localhost:11434AI Analysis
The skill's external API call to localhost:11434 is consistent with its stated purpose of using Ollama for semantic search and is user-configurable. The credential access signal appears to be a false positive from a generic rule, as the skill definition shows no evidence of accessing /etc/passwd or harvesting credentials. The primary risk is local data storage and optional local LLM integration, not data exfiltration.
Generated Mar 1, 2026
Integrate Lily Memory into a customer support chatbot to maintain persistent memory of user issues and resolutions across sessions. This enables the agent to recall past interactions, reducing repetition and providing personalized support, especially for recurring customers.
Use the plugin in an educational AI tutor to capture and recall student progress, preferences, and learning gaps over time. This allows for adaptive lesson planning and targeted feedback, improving engagement and outcomes in online education platforms.
Deploy Lily Memory in a healthcare chatbot to track patient symptoms, medication adherence, and appointment histories persistently. It helps provide consistent care recommendations and flag anomalies, supporting chronic disease management in telehealth services.
Implement the plugin in a shopping assistant to store user preferences, past purchases, and browsing behavior. This enables hybrid search for personalized product suggestions and trend analysis, enhancing customer retention and sales conversion.
Integrate the memory plugin into a project management AI to auto-capture task updates, decisions, and team discussions. It aids in recalling project context and detecting repetitive issues, streamlining collaboration and reducing miscommunication in remote teams.
Offer Lily Memory as a cloud-based service with tiered pricing based on memory storage capacity and search features. Revenue comes from monthly subscriptions, targeting businesses needing scalable, persistent AI memory without infrastructure management.
Sell perpetual licenses or annual contracts for on-premises deployment, including customization and support services. This model appeals to large organizations in regulated industries like healthcare or finance that require data control and compliance.
Provide a free version with basic keyword search and limited storage, while charging for advanced features like vector semantic search, auto-capture, and stuck detection. This attracts individual developers and small teams, converting them to paid plans as needs grow.
💬 Integration Tip
Ensure Node.js and better-sqlite3 are installed, and configure Ollama for vector search to maximize functionality; start with default settings and adjust entities and thresholds based on use case.
Scored Apr 19, 2026
Audited Apr 16, 2026 · audit v1.0
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