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Shubhamsaboo / openclaw-vertexai-memorybank

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Vertex AI Memory Bank Plugin for OpenClaw

69
15
89% credibility
Found Mar 14, 2026 at 61 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A plugin for OpenClaw AI agents that adds persistent, user-shared long-term memory using Google's Vertex AI Memory Bank for recalling facts across sessions.

How It Works

1
🔍 Discover better memory for your AI helper

While chatting with your AI assistant, you notice it forgets your preferences after each session and search for a way to make it remember forever.

2
☁️ Connect to a smart memory service

Sign up for a Google Cloud account with billing to unlock unlimited memory storage that grows with your conversations.

3
⚙️ Add the memory feature to your AI setup

Edit your AI's settings file to link it to the memory service using your account details, like project name and location.

4
🚀 Install and launch the memory booster

Download the plugin, build it quickly, and add it to your AI home with simple commands, then restart to activate.

5
💬 Start chatting and building memories

Talk to your AI as usual— it automatically saves key facts like your preferences, decisions, and project details after each meaningful exchange.

6
🧠 Ask your AI to recall the past

Your AI pulls up relevant memories from all past sessions before replying, so it feels like one continuous smart friend.

✅ Enjoy a forever-remembering AI companion

Now your assistant shares context across all chats and agents, remembering your style, projects, and choices without ever forgetting.

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AI-Generated Review

What is openclaw-vertexai-memorybank?

This TypeScript plugin supercharges OpenClaw agents with persistent, cross-session memory backed by Google's Vertex AI Memory Bank. Instead of per-session resets, it auto-retrieves relevant facts via similarity search before each turn and extracts new ones from conversations or workspace files like MEMORY.md afterward. Developers get user-scoped recall that compounds over time, with no vector DB to manage.

Why is it gaining traction?

It stands out by offloading everything to Vertex AI's managed service—storage, embeddings, deduping, and consolidation—while staying token-efficient with relevance filters and noise skipping. Built-in agent tools for search, forget, correct, and stats, plus CLI commands like `memorybank-search` and `memorybank-remember`, make memorybank-vertexai-memorybank agent development intuitive. The free tier (1,000 retrievals/month) and low vertex ai memory bank pricing hook devs tired of local RAG setups.

Who should use this?

OpenClaw users building personal agents that need to remember preferences across sessions, like solo devs tracking project decisions or teams sharing context via user-scoped memory. Ideal for GCP folks experimenting with vertex ai rag memory in workflows, especially if you're syncing markdown files for vertex ai memory.

Verdict

Solid early plugin for vertex ai memory bank fans—grab it if you're on OpenClaw and GCP, but with 37 stars and a 0.9% credibility score, treat it as experimental despite thorough docs and CLI polish. Test in a side project before production.

(198 words)

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