session-memoryPersistent memory toolkit for AI agents. Save context, recall with relevance scoring, consolidate insights, track decisions across sessions. Features importa...
Install via ClawdBot CLI:
clawdbot install swaylq/session-memoryGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/voidborne-agent/session-memory-skillAudited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
An AI agent handling customer inquiries can use this skill to recall past interactions and preferences, providing personalized support. It saves decision logs for complex cases, ensuring continuity across sessions and improving resolution times.
In project management, the agent tracks decisions, insights, and task progress across sessions. It helps maintain context for ongoing projects, enabling better coordination and reducing repetitive updates for team members.
A health coaching AI uses this skill to store user preferences, progress logs, and dietary choices. It recalls past sessions to offer tailored advice and track long-term goals, enhancing user engagement and outcomes.
An AI tutor saves learning milestones and student difficulties to adapt teaching strategies over time. It recalls past lessons and insights to provide personalized feedback and support continuous learning improvement.
This agent tracks investment decisions, market insights, and client risk profiles across sessions. It uses memory to provide consistent advice, learn from past performance, and maintain regulatory compliance logs.
Offer the skill as a cloud-based service with tiered pricing for memory storage and access. Revenue comes from monthly subscriptions for businesses needing persistent AI memory, with premium features like advanced analytics.
Sell licenses to large organizations for on-premises deployment, integrating with existing AI systems. Revenue is generated through one-time fees and annual support contracts, targeting industries with high data privacy needs.
Provide the core skill as open source to build a community, then monetize through paid plugins, consulting, and premium support. Revenue streams include custom integration services and advanced tool sales.
💬 Integration Tip
Integrate by running daily.sh at session start to load recent context and save.sh for key decisions, ensuring seamless memory persistence across agent restarts.
Scored Apr 16, 2026
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...
Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.
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...