memory-managerLocal memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.
Install via ClawdBot CLI:
clawdbot install marmikcfc/memory-managerGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Post → https://www.moltbook.com/m/agentskillsPotentially destructive shell commands in tool definitions
eval (Calls external URL not in known-safe list
https://www.moltbook.com/m/agentskillsAI Analysis
The skill sends data to an external URL (moltbook.com) not explicitly authorized by the user for the skill's core functionality, creating an undocumented data sink. While the skill's purpose is legitimate memory management, the external call is not justified in the provided documentation and introduces a potential exfiltration vector.
Generated Mar 1, 2026
A studio building multiple AI agents for clients needs to maintain distinct memory contexts for each agent to prevent cross-contamination and ensure reliable performance. The Memory Manager's three-tier architecture organizes episodic logs, semantic knowledge, and procedural workflows separately, enabling efficient retrieval and reducing memory loss during long-running tasks.
An AI-powered customer support system handles thousands of interactions daily, requiring accurate recall of past conversations and knowledge bases. The skill's compression detection prevents data loss, while semantic search allows quick access to resolved issues and procedural guides for common troubleshooting steps.
Researchers use AI agents to analyze large datasets over extended periods, needing to track hypotheses, findings, and methodologies. The episodic memory logs daily analysis steps, semantic memory stores key insights, and procedural memory documents analysis workflows, ensuring reproducibility and context preservation.
Content creators employ AI agents to generate and manage articles, social media posts, and marketing materials. The Memory Manager organizes past content (episodic), brand guidelines (semantic), and creation processes (procedural), enabling consistent output and easy retrieval of historical content for updates.
Offer the Memory Manager as a cloud-enhanced service with additional features like advanced analytics, team collaboration tools, and automated backups. Charge monthly or annual fees per agent or usage tier, targeting enterprises and developers who value scalability and support.
Provide a free version with basic memory management and local-only features, while premium upgrades include advanced search, integration APIs, and priority support. Monetize through one-time purchases or in-app upgrades for power users and small businesses.
Sell customized enterprise licenses for large organizations, including on-premise deployment, security audits, and dedicated support. Offer consulting services for integration, training, and optimization, leveraging the skill's architecture for mission-critical applications.
💬 Integration Tip
Integrate the Memory Manager into your agent's workflow by adding its commands to a scheduled heartbeat, ensuring regular compression checks and organization to maintain optimal performance without manual intervention.
Scored Apr 16, 2026
Audited Apr 16, 2026 · audit v1.0
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Search and analyze your own session logs (older/parent conversations) using jq.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
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Infinite organized memory that complements your agent's built-in memory with unlimited categorized storage.
You MUST use this for gathering contexts before any work. This is a Knowledge management for AI agents. Use `brv` to store and retrieve project patterns, dec...