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Visdom Context Fabric

Organizational knowledge
for AI Agents

Visdom Context Fabric delivers tailored context for your planning, coding, and review agents.

The gap

Agents often miss the “big picture” when making engineering decisions

Modern software is shaped by thousands of decisions made by developers throughout the system’s lifecycle. That information lives not only in code repositories, but also in documentation, code review discussions, ticketing systems, and other sources. The code is easy to access, but the “why” is often fragmented across the organization.

How it works

We Turn Engineering Signals into Agent-Ready Context

Visdom Context Fabric transforms fragmented engineering knowledge into a single, continuously updated context layer for engineers and AI agents.

Context Sources

Collects knowledge from repositories, documentation, ticketing systems and your internal tools. Connects to your existing engineering ecosystem.

Relevant context

Only the context that matters. Engineering practices, architecture and operational knowledge filtered for AI agents.

Agent-sized Context

Transforms engineering artifacts into compact AI-ready context. Improves accuracy while reducing token usage.

Industry standards

Delivers context through MCP and AGENTS.md. Adapts to planning, coding and review workflows.

What agents understand

How Context Fabric Powers AI Agents

Visdom Context Fabric continuously builds a living graph of your code, documentation and engineering knowledge. It gives AI agents the context they need to understand your systems, architecture and engineering practices.

System Context. Understand how systems fit together.

Maps services, APIs, dependencies and infrastructure into a living architecture graph.

Code Context. Learn how software is written inside your organization.

Captures coding conventions, build configurations, AGENTS.md and engineering practices.

Historical Context. Understand why systems look the way they do.

Surfaces architecture decisions, code reviews and engineering discussions when they matter.

Why it matters

Visdom Context Fabric provides relevant context, increasing the accuracy of AI planning, coding and review agents.

Lower token consumption

Context doesn’t have to be rediscovered each time.

Architectural consistency

The right context is provided when needed.

Precise answers

Precise answers to engineering questions

Making agents follow

Making agents follow the way software is done at your organization.

Technical Reference

Explore detailed technical documentation, implementation guidelines, and reference materials.

Read the documentation