persistent-memoryThree-layer persistent memory system (Markdown + ChromaDB vectors + NetworkX knowledge graph) for long-term agent recall across sessions. One-command setup w...
Install via ClawdBot CLI:
clawdbot install jakebot-ops/persistent-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Feb 23, 2026
A customer support agent uses persistent memory to recall past interactions, solutions, and customer preferences across sessions, enabling personalized and consistent support without manual lookup. This reduces resolution time and improves customer satisfaction by avoiding repetitive questions.
A legal research assistant leverages the three-layer memory to store case laws, precedents, and client details, allowing semantic search and relationship mapping for quick retrieval during case preparation. This ensures compliance with legal directives and reduces errors in referencing critical information.
A project management coordinator uses persistent memory to track project decisions, timelines, and team communications across sessions, maintaining institutional knowledge for ongoing and future projects. This prevents loss of context during team handovers or system restarts.
A healthcare compliance officer employs persistent memory to store regulatory guidelines, patient protocols, and audit trails, enabling automatic recall of rules and past decisions to ensure adherence to health standards. This minimizes risks of non-compliance and operational failures.
Offer persistent memory as a cloud-based service with tiered pricing based on storage capacity and search frequency, targeting businesses needing long-term AI agent memory. Revenue is generated through monthly or annual subscriptions, with upsells for advanced features like analytics.
Sell on-premise licenses for large organizations requiring secure, customized memory systems integrated with existing workflows, such as legal firms or healthcare providers. Revenue comes from one-time license fees plus annual support and maintenance contracts.
Provide consulting services to set up and customize persistent memory for specific industries, including training and ongoing management, leveraging the one-command setup for rapid deployment. Revenue is generated through project-based fees and retainer agreements.
💬 Integration Tip
Ensure the configure_openclaw.py script runs successfully to integrate memory search with OpenClaw, preventing agents from ignoring critical directive files like SOUL.md and AGENTS.md for compliance.
Scored Apr 19, 2026
Structured reasoning through sequential thinking — break complex problems into steps, solve each independently, verify consistency, synthesize conclusions wi...
LLM-driven epistemic reasoning engine. Evaluates claims against evidence, outputs calibrated confidence and structured belief state (VERIFIED/CONTESTED/UNCER...
Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context duri...
Turn scattered local sources into a source-constrained evidence notebook for incident, release, and maintainer decisions.
三级记忆管理系统 (Three-Tier Memory Management)。用于管理 AI 代理的短期、中期、长期记忆。包括:(1) 滑动窗口式短期记忆,(2) 自动摘要生成中期记忆,(3) 向量检索长期记忆 (RAG)。当需要管理对话历史、优化上下文、构建个人知识库、或实现记忆持久化时使用此 Skill。
Store secrets, long-term memory, daily logs, and anything custom in your Convex backend instead of local files