LLM Wiki
Turn scattered materials into versioned, citeable knowledge.
BARBOT / PRODUCTS
Build Agents on
trusted industry knowledge
Every Barbot Agent sits on our LLM Wiki. We compile manufacturer materials, code, projects, and expert know-how into maintainable, traceable knowledge—then build Agents that use that knowledge, call tools, and deliver results.
ONE FOUNDATION, THREE LAYERS
P2P · AI FAE · Coding
Complete substitution, support, and development tasks.
Harvey Agents
Connect knowledge, data, and tools for complex work.
01 / Knowledge Foundation
LLM Wiki
Semiconductor knowledge infrastructure built for Agents
Compile datasheets, SDKs, application notes, code, and expert know-how into maintainable, traceable industry knowledge that multiple Agents can share.
02 / Work Agent
P2P Agent
Turn second-source analysis into verifiable engineering output
Extract parameters, align specs, judge Pin-to-Pin fit, flag risks, and cite evidence using governed chip knowledge.
03 / Work Agent
AI FAE
Always-on technical support grounded in manufacturer knowledge
Give customers, sales, and engineers trustworthy, cited support—and escalate full context to human FAEs when evidence is thin or the issue is complex. The public demo is Vector Chat: talk in real time about selection, design-in, and technical questions.
04 / Work Agent
Coding Agent
A VS Code assistant customized on the vendor's full technical corpus
A development assistant for MCU/DSP vendors that brings manufacturer knowledge into the live project and codebase. The public build ships as Vector AI Coding Agent on the VS Code Marketplace.
05 / Task Workbench
Harvey Agents
An Agent workbench for complex semiconductor work
Connect enterprise knowledge, business data, and tools; orchestrate specialist Skills across multi-step, collaborative, long-running tasks.