MemoryPlugin for OpenClaw

Product Introduction

1. Definition: MemoryPlugin for OpenClaw (branded as Maximem Vity) is a persistent memory layer plugin and Chrome extension that operates as a cross-platform AI context management system. It technically integrates with OpenClaw’s API and cloud infrastructure to unify conversational memory across multiple LLM platforms.
2. Core Value Proposition: It eliminates context fragmentation in AI workflows by creating a single, searchable, cloud-synced "brain" for OpenClaw, ChatGPT, Claude, and Gemini. This enables zero-repetition prompting, dynamic context injection, and cross-tool knowledge reuse—solving token limits and siloed data.

Main Features

1. Unified Memory Graph:

   • How it works: Captures conversations via OpenClaw’s API, extracts key data (prompts, decisions, code snippets), and indexes it into a semantic graph database stored in encrypted cloud storage. Uses NLP to tag context for relevance (short-term/long-term).
   • Technologies: AES-256 encryption, vector embeddings for semantic search, graph-based storage (Neo4j-compatible).

2. Auto-Context Injection:

   • How it works: Dynamically injects relevant context into OpenClaw’s token window using similarity matching. Priorities high-value memories (e.g., project specs, prompts) to avoid truncation.
   • Technologies: Real-time relevance scoring (TF-IDF + cosine similarity), OpenClaw plugin SDK.

3. Cross-Platform Bookmark Sync:

   • How it works: Chrome extension syncs browser/X (Twitter) bookmarks to the memory graph. OpenClaw references saved links (GitHub repos, docs) during tasks via metadata extraction.
   • Technologies: Chrome Extension APIs, OAuth 2.0 for X/Twitter, headless browsing for content scraping.

4. WaitPro Flashcard Conversion:

   • How it works: Automatically converts key insights from conversations into structured spaced-repetition flashcards in WaitPro format. Triggers on user-defined keywords (e.g., "important" or "summary").
   • Technologies: Rule-based NLP triggers, WaitPro API integration.

Problems Solved

1. Pain Point: Context truncation in long OpenClaw sessions forces agents to "forget" early instructions.
   • Keywords: token limit workaround, AI memory loss, context window overflow.
2. Pain Point: Siloed knowledge across ChatGPT, Claude, Gemini, and OpenClaw requiring manual copy-pasting.
   • Keywords: multi-LLM fragmentation, repetitive prompting.
3. Pain Point: Local-only memory files preventing device-switching without data loss.
   • Keywords: local storage limitations, cross-device sync issues.

Target Audience:

• AI Developers: Building OpenClaw agents needing persistent context.
• Technical Researchers: Cross-referencing bookmarks/conversations daily.
• Prompt Engineers: Reusing high-performance prompts across LLMs.

Use Cases:

1. Maintaining project context when switching from OpenClaw (local) to ChatGPT (cloud).
2. Recalling API documentation from saved bookmarks during OpenClaw debugging.
3. Converting error-solving prompts into reusable WaitPro flashcards.

Unique Advantages

1. Differentiation vs. Competitors:
   • Unlike siloed solutions (e.g., ChatGPT Memory), Maximem Vity supports 4+ LLM platforms under one memory layer. Competitors lack OpenClaw integration or semantic bookmark search.
2. Key Innovation:
   • Semantic graph-based indexing replaces linear chat history, enabling associative recall (e.g., "find all conversations about Python error handling"). Combined browser/LLM sync is industry-first.

Frequently Asked Questions (FAQ)

1. How does MemoryPlugin handle data privacy?
   All memories are AES-256 encrypted at rest/in transit. Users own their data; no third-party LLM access.
2. Does it work with OpenClaw’s local-only mode?
   Yes, it bridges local OpenClaw instances to cloud memory via secure API syncing.
3. Can I search past conversations without manual tagging?
   Absolutely. Natural language queries (e.g., "Show prompts for API debugging") leverage semantic search.
4. Is the Chrome extension required for full functionality?
   Required for bookmark sync and cross-LLM memory (ChatGPT/Claude/Gemini), but OpenClaw works standalone.
5. How does WaitPro flashcard conversion work?
   Auto-detects key insights using NLP (e.g., decisions, code fixes) and formats them into optimized flashcards for revision.