# Fabric

> Agents that carry real delivery work, on a shared record of every decision your team has already made.

Domain: Product knowledge and delivery
For: product and engineering teams whose decisions, customer context and delivery work live in different systems
Product site: https://fabric.pro
Databricks surfaces: Unity Catalog, Temporal, MCP
Canonical: https://www.techfabric.com/products/fabric

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An agent with a context window forgets the decision it was told about last week. It reintroduces a customer who has been on the account for two years, and it argues for an approach the team rejected in March.

## Keep the product decision attached to the work.

A customer call changes the scope. The reason can get lost between meeting notes, the roadmap, Jira and the pull request. Fabric keeps that chain connected, so the team can see what changed, why it changed and what the decision affected.

### Product workflow

#### Find the answer

Search meetings, documents, Slack, Jira and GitHub together. Each answer points back to its source.

#### Turn decisions into work

Carry an approved decision into a plan, specification or ticket without losing the conversation behind it.

#### Build with the full context

Give engineers and agents the same requirements, technical decisions and codebase history before work begins.

#### Take it to production

Keep approvals, implementation history and the reason for a change connected to the artifact that shipped.


### What changes for the team

#### Fewer context resets

Product, design and engineering stop reconstructing the same decision in separate tools.

#### Work that can be traced

A specification, ticket or code change can point back to the source and decision that created it.

#### Agents with useful context

Agents work from the team's documents, code and delivery history instead of starting with an empty prompt.


## What is in it

- Agent orchestration
- Deep research
- Hybrid search and RAG
- Codebase and security agents
- MCP integrations
- SDLC automation

## The systems underneath

Our delivery teams use Platform, Harness and Experiments together. Governance surrounds the work, agents carry repeatable tasks, and evaluations catch regressions before production.

### TechFabric Platform: Governance and audit

Routes each state change through the same policies, state machines and audit trail.

### TechFabric Harness: Agent runtime

Runs durable agents with approvals, governed tools, model routing and sandboxed execution.

### TechFabric Experiments: Evaluation and quality

Measures agent and model changes against owned data, with gates that stop a regression from shipping.