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io.github.vnbochkarev-netizen/vibo-memory

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Memory for AI agents: persistent L1/L2/L3, web-search savings, thread memory.

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @vibo-dev/vibo-mcp
Claude Code 
claude mcp add vibo-memory -e 'VIBO_API_KEY=<your vibo_api_key>' -- npx -y @vibo-dev/vibo-mcp@0.1.2
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "vibo-memory": {
            "command": "npx",
            "args": [
                "-y",
                "@vibo-dev/vibo-mcp@0.1.2"
            ],
            "env": {
                "VIBO_API_KEY": "<your vibo_api_key>"
            }
        }
    }
}

Environment variables

  • VIBO_API_KEY required secret Your ViBo license key (VIBO-...). Get a free trial: https://wwwvibo.com

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. 💰 ViBo — Memory for AI Agents + Living Document Archive
  2. What it is
  3. How to use
  4. What it is for
  5. Honest measurements
  6. Pricing
  7. 🚀 Projects
  8. Related projects

💰 ViBo — Memory for AI Agents + Living Document Archive

One license. One key. Your agent remembers — and your documents think.

📖 The Living Archive: How My Agent Started Working Through ViBo — read the story

What it is

ViBo Memory — persistent memory for AI agents: facts survive between sessions, found by meaning, encrypted L1/L2/L3. Agent reads only relevant facts → 50-150× fewer tokens on large bases (measured).

ViBo Archive — a living document archive in our own .vibo format: compressed (~84%), searched by meaning, answers questions in milliseconds. LLM reads 22 KB instead of 146 KB.

How to use

vibo add "client Anna" "prefers espresso, budget 10K"
vibo find "what does Anna prefer?"

vibo archive pack ./contracts -o archive.vibo
vibo archive search archive.vibo "total amount and deadline?"
vibo archive unpack archive.vibo -o ./restored
  • Skill — drop into any Python agent (Hermes, OpenClaw, LangChain).
  • n8n — verified node n8n-nodes-vibo.
  • vibo-selfdeed — free autonomous mission skill: the agent restores context, finds and fixes problems safely, iterates via paths A/B/C and saves lessons back into ViBo memory. Learn more → · npm install vibo-selfdeed · ClawHub
  • Dify — plugin (PR in review).
  • Cloud API — memory for your SaaS.

What it is for

  • Banks — "What did we promise this client?" → milliseconds. Secrets stay encrypted (L3).
  • Archives — millions of pages stop being dust.
  • Libraries — "What is this book about?" → instant.
  • Law firms — a question instead of hours of searching.
  • Medicine — patient histories, protocols, studies.
  • Business — knowledge bases that answer 24/7.

Honest measurements

MemoryTokens saved
100 facts~2×
1K facts10-20×
10K+ facts50-150×
100K+ factsup to 2,000×

Web search: 96-99%. Threads: -72%. Archive: 84%, 0.1s. Empty memory = 0 savings.

Pricing

One license, $5/month (first 100 users keep $2.5 forever). Cloud API $5/10/25. 2-day free trial.

Get it from @ViBomemorybot or wwwvibo.com.

Dust is no longer dust. Dust is memory that was waiting for its hour.

🚀 Projects

ProjectWhat it isLink
ViBo MemoryPersistent memory for AI agents — 50-150× fewer tokens, L1/L2/L3 encryptionsite
ViBo ArchiveLiving document archive (.vibo) — 84% compression, search by meaning, answers in msdemo
Cloud APIMemory for your SaaS — instant, encrypted, zero infrastructuresite
n8n nodeVerified node for n8n workflowsnpm
Dify pluginMemory tools for Dify (search, add, thread, usage)PR
MCP serverModel Context Protocol server for AI toolsregistry
Telegram botGet the key, manage subscription, support@ViBomemorybot

All projects share one license, one key, one product.

Dust is no longer dust. Dust is memory that was waiting for its hour.

  • **CloudArc** — pack a 10 GiB folder into one .vibo archive at a flat ~26 MiB peak RSS, and read its index over HTTP without fetching the payload (Apache-2.0). Docs site
  • **memory-shield** — poisoning defense for agent memory (MIT).
  • **ViBo-memory** — persistent agent memory with L1/L2/L3 encryption.

Frequently asked questions

What is io.github.vnbochkarev-netizen/vibo-memory?

Memory for AI agents: persistent L1/L2/L3, web-search savings, thread memory.

How do I install io.github.vnbochkarev-netizen/vibo-memory?

It runs on your machine. In Claude Code: claude mcp add vibo-memory -e 'VIBO_API_KEY=<your vibo_api_key>' -- npx -y @vibo-dev/vibo-mcp@0.1.2. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.vnbochkarev-netizen/vibo-memory need an API key?

Yes. It expects VIBO_API_KEY, which you set in its configuration.

Is io.github.vnbochkarev-netizen/vibo-memory open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.vnbochkarev-netizen/vibo-memory?

It is published by vnbochkarev-netizen. AI.tn lists it but does not maintain or endorse it.

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