Your AI agent finally remembers. ViBo stores facts between sessions and recalls them by meaning, not keywords. It compresses web search results before the LLM sees them (96.2% fewer tokens), keeps long threads as a compact summary (−72%), and gives agent teams shared memory — one compact context block. Secrets sit in encrypted L1/L2/L3 tiers, API keys never reach the model. One skill. $5/month.
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Hey Product Hunt 👋 I'm Viacheslav.
I built ViBo out of pure frustration. Every agent I ran forgot everything between sessions, and every "fix" — bigger context, longer prompts, re-sending the same search results — just made the bill worse. I wanted memory that actually worked and never punished me for having it.
So ViBo does four things from one skill: remembers facts across sessions (encrypted L1/L2/L3 tiers, so secrets never reach the model), compresses web search results (96.2% fewer tokens), keeps thread history in a file with only a summary to the model (−72% tokens), and gives agent teams a shared memory — orchestrators read one compact context block, up to 96% fewer tokens per handoff.
The rule I refuse to break: ViBo never costs more than no-ViBo. Small memory → it stays silent and costs nothing.
What's next: more integrations, tighter compression, richer retrieval. I'd love to hear what your agent forgets first — comment below or email hello@wwwvibo.com. Two-day free trial, no card.
— Viacheslav Bochkarev