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Hi, I'm Viacheslav Bochkarev 👋

I build ViBo — memory that makes AI agents actually remember, and tools that keep them honest.

🗄 Free and open source (start here)

Project What it is
CloudArc Pack a 10 GiB folder into one .vibo archive at a flat ~26 MiB peak RSS (25.9 MiB pack / 31.2 MiB unpack, 1→10 GiB), and read its index over HTTP range requests without fetching the payload. Apache-2.0 · docs site
memory-shield Poisoning defense for agent memory: snapshots, quarantine, masked secrets (MIT, zero deps)
context-compactor Condense long agent sessions into handoff memory
skill-injection-scanner Find hidden instructions and prompt-injection in agent skills
cloudarc-bounded-memory-benchmark The benchmark harness and CI gates behind CloudArc's numbers

🧠 ViBo ecosystem

Project What it is Grade
ViBo-memory Persistent memory for AI agents: semantic search, L1/L2/L3 encryption, 50-150× token savings A
ViBo-SkillQA Test & certify agent skills: 7 automated checks, grade A-D, CI-ready A
vibo-mcp Memory for any MCP agent — one line: npx @vibo/mcp
n8n-nodes-vibo ViBo memory node for n8n workflows
haystack-vibo Persistent memory + token savings for Haystack pipelines
ViBo-selfdeed Autonomous mission skill: grill → plan → execute → learn

🛠 What I work on

  • Bounded-memory storage and large-archive tooling
  • Agent memory & context compression
  • Skill certification & QA automation
  • Prompt-injection defense, agent orchestration

📫 Contact

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  1. ViBo-memory ViBo-memory Public

    🧠 ViBo — save 50-150× tokens: persistent memory for AI agents (L1/L2/L3) + web search compression (96.2%). One skill, two products. $5/mo.

    Python 1