Modular skills for AI agents · Live v1.0.14

Give every agent the right skills.

ViBo is a modular capability layer for AI agents. Connect reusable skills, memory, tools, and private context — then orchestrate useful work through one clear interface.

Reusable skills Any Python agent Private context

vibo.search("server context")

→ 4 relevant facts · 66ms

→ tokens: 148 / 7,840

active facts
related context
encrypted secret
50–150×less memory context
96.2%web-search token savings
99.7%archive token savings
100Kfacts benchmarked
Agents · skills · orchestration

Build agents from capabilities, not monoliths.

ViBo turns memory, search, archives, privacy, and external tools into reusable skills. An agent can discover the capability it needs, connect it, and execute a task without carrying an oversized permanent context.

01
$ vibo add "Anna" "coffee without sugar"
$ vibo find "what does Anna like?"
→ coffee without sugar · relevance 0.94

Reusable agent skills

Package a capability once and connect it to different agents, frameworks, and workflows.

02

Context and memory skill

Give agents compact semantic memory and searchable archives without loading everything into every prompt.

03

Private execution

Keep credentials and protected values outside the model while skills continue to execute useful work.

The cheapest token is the one you never have to send.
4–8 factsTypical answer context instead of megabytes of memory.
66 msMeasured semantic search at 100,000 facts.
$5/moOne license for memory, archive, search savings, and privacy.
ViBo v1.0.14

Start assembling a more capable agent.

Connect ViBo as a skill, adapter, Python API, or CLI. Begin with memory and privacy today, then expand into a reusable agent-skill ecosystem.