ViBo
ViBo is a modular capability layer that provides compact semantic memory, protected values, and searchable archives for AI agents.
What it does
About ViBo
ViBo functions as a modular capability layer for AI agents, enabling them to convert memory, web search, archives, privacy controls, and external tooling into reusable skills. It delivers compact semantic memory and searchable archives without requiring full context loading into prompts, achieving 96.2% token savings on web-search context. Additionally, ViBo keeps sensitive credentials and protected values isolated from models during skill execution. For agent teams, ViBo supplies Team Memory with a shared namespace, author tracking per fact, orchestrator context summaries, and auto-expiring metrics. ViBo integrates via Python API, CLI, adapter, or skill, with subscriptions starting at $5 per month.
- Availability:
- launched
- Access:
- paid
- Format:
- software
- Platform:
- api
- Platform:
- cli
Pricing at launch: $5 per month
Core capabilities
Compact Semantic Memory and Searchable Archives
Provides AI agents with search-ready archives and compact semantic memory without injecting full context blocks into prompt windows.
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