memory-lcmStores and manages complete conversation history with searchable SQLite storage, chunked and daily summaries, and auto-syncs key decisions to MEMORY.md.
Install via ClawdBot CLI:
clawdbot install louch84/memory-lcmGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://registry.npmjs.org/sql.js/-/sql.js-1.14.1.tgzAI Analysis
The skill stores all conversation data locally in SQLite and syncs to a local MEMORY.md file, with no evidence of data exfiltration. The only external call is to npmjs.org for a legitimate dependency (sql.js), which is consistent with the skill's purpose. The 'UNSAFE_SHELL' signal appears to refer to internal CLI commands, not hidden malicious behavior.
Audited Apr 16, 2026 · audit v1.0
Generated May 10, 2026
A customer support chatbot uses Memory LCM to store every message, enabling it to recall past interactions and provide context-aware responses. This ensures no user query is lost and support history is readily searchable.
A mental health app leverages the skill to maintain a lossless record of user journal entries and therapist interactions. Daily summaries help track emotional trends, while search allows revisiting past sessions.
A legal AI assistant uses Memory LCM to log all correspondence and document analysis. It can recall specific clauses or decisions over extended periods, aiding in case preparation and compliance.
A coding assistant integrated into an IDE preserves chat history about code changes and decisions. It auto-syncs key architectural decisions to a memory file, ensuring project context is never lost.
A personal AI agent uses the skill to store all conversations and notes. Daily summaries and compaction prevent context overflow, while full-text search allows quick retrieval of past ideas and plans.
Offer a cloud-based customer support platform that uses Memory LCM to provide context-aware bots. Revenue comes from monthly subscriptions based on conversation volume or number of agents.
Sell a memory layer for enterprise AI assistants that ensures continuity across employee interactions and projects. Charge per user or per workspace, with add-ons for advanced search and analytics.
Offer Memory LCM as open-source, but provide managed hosting, premium support, and custom integrations for enterprises. Revenue from hosting plans and consulting.
💬 Integration Tip
Start with a single session to test recall and compact features; integrate the log calls after each turn and schedule periodic compaction and daily summaries.
Scored May 10, 2026
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