MemoryPlugin for OpenClaw

Key Features

• •Semantic Graph Memory: Builds a semantic graph of code decisions, architectural choices, preferences, and project context from all sessions. This allows the plugin to use vector similarity search to automatically inject the most relevant memories into each OpenClaw response, ensuring critical context is never lost.
• •Auto-Recall & Auto-Capture: Auto-Recall automatically injects relevant memories before every response, while Auto-Capture saves new context after each exchange. Together, they create a continuous memory loop that keeps the agent informed without manual effort.
• •Cross-Platform Memory Sync: Syncs memory across ChatGPT, Claude, Gemini, OpenClaw, Perplexity, DeepSeek, and Grok. What you teach one AI is instantly available on all others, eliminating the need to re-explain context across different platforms.
• •Device-Independent Cloud Sync: Memory is stored in the cloud and synchronized across all your devices. Switching from desktop to laptop does not reset the agent's context, solving the device-locked memory problem common with local-only solutions.
• •Bookmark Intelligence: Saved GitHub repositories, documentation URLs, and research articles become searchable memory nodes that the agent can access mid-conversation. This turns external resources into actionable knowledge without manual copying.
• •Slash Commands: Use /remember to explicitly save important facts and /recall to search the vault by meaning. These commands give users manual control over memory management, complementing the automated features.
• •Cross-Channel Integration: Memories are accessible through Telegram, Slack, WhatsApp, and Discord. This extends the persistent memory layer to messaging platforms, allowing users to interact with their AI vault from wherever they communicate.

Use Cases

• •A developer working on a multi-session coding project can retain architectural decisions and preferences across days without re-explaining. The agent continues from where it left off, boosting productivity.
• •A user who switches between desktop and laptop computers can seamlessly continue coding with full context. Cloud sync ensures that no memory is lost when moving between devices.
• •A researcher who saves GitHub repositories and documentation URLs can have the OpenClaw agent reference those resources automatically. The agent can recall bookmarked content mid-conversation, reducing manual lookups.
• •A team using multiple AI tools like ChatGPT, Claude, and Gemini benefits from a unified memory vault. What one team member teaches ChatGPT is instantly available to others using Claude or OpenClaw.
• •A user who has long conversations with OpenClaw can prevent critical early instructions from being discarded during context compaction. Auto-Recall injects relevant memories even after token limits are reached.
• •A professional who communicates via Telegram, Slack, or Discord can access their AI memory from those platforms. This allows them to recall context without opening the OpenClaw interface.

Who is this for?

Developers who use OpenClaw as a coding agent and need persistent memory across sessions to avoid re-explaining context. AI power users who work with multiple platforms like ChatGPT, Claude, and Gemini and want a unified memory layer. Researchers and technical professionals who rely on long conversations and need to retain architectural decisions, preferences, and project context. Remote teams that collaborate across devices and require cloud-synced memory accessible from desktops, laptops, and messaging apps like Telegram and Slack. The tool is also suitable for anyone frustrated by stateless AI tools and the constant need to re-explain information.