The Complete Agent Engineering Platform
Build agents that deliver.
Fabric connects your tools, ingests your context, and runs agents across the full delivery pipeline — from planning and specs to code, review, and ship.
Every handoff leaks context. That leak compounds into waste.
Software delivery was designed around constraints of humans at keyboards. A decision changes in standup — the PRD, stories, and test plan are already wrong. Teams burn hours patching docs nobody trusts.
The longer you operate this way, the deeper you entrench it.
Stale artifacts after every meeting
A decision changes in standup; the PRD, stories, and test plan are already wrong. Teams burn hours patching docs nobody trusts.
Specs and code diverge silently
Requirements say one thing, code does another. Nobody notices until QA — or production — surfaces the gap.
Senior engineers become translators
Your most expensive talent spends half their week converting meeting notes into tickets and keeping wikis current.
Decisions vanish into chat threads
Critical context lives in Slack messages and meeting recordings nobody re-watches. New team members start from zero.
AI suggestions without project context
Generic copilots generate plausible-looking code that ignores your architecture decisions and domain conventions.
Tool-switching kills flow state
Context scatters across Figma, Linear, Notion, Slack, and GitHub. Developers rebuild mental models dozens of times a day.
Fabric works across your entire delivery pipeline.
Every signal your team generates becomes persistent context. Every context becomes a precise artifact.
The bottleneck isn't writing code—it's everything around it. Requirements that change mid-flight. Reviews that sit in queues. Tests that run overnight.
Fabric keeps work flowing from plan to deploy. Agents handle the process before and after the commit—so ideas ship as fast as they're coded.
Inbound Context
- Meeting transcripts
- Specs & designs
- Architecture decisions
- Slack / Teams messages
- Jira / Linear tickets
- GitHub commits & PRs
Persistent context. Agentic orchestration. MCP-connected tools. Decision traceability.
Outbound Action
- PRDs & technical specs
- Epics & user stories
- Acceptance criteria
- Code changes & reviews
- Test plans & coverage
- Release notes
Not a chatbot. A delivery platform.
AI copilots help individuals write faster. Fabric helps teams ship faster.
| AI Copilots | Fabric | |
|---|---|---|
| Context | Starts fresh every prompt | Persistent project memory across all tools |
| Scope | One file, one task | End-to-end delivery chain |
| Architecture | Single-turn prompt / response | Multi-agent, event-driven orchestration |
| Integrations | Editor plugins | MCP servers: Jira, Slack, GitHub, Teams + |
| Output | Text you paste somewhere | Connected artifacts with decision traceability |
| Changes | Regenerate and diff manually | Computed diffs with decision lineage |
| Approvals | Review everything from scratch | Review what changed and why |
| Team benefit | Individual productivity | Team velocity, predictability, and trust |
From raw context to shipped code.
Every signal becomes persistent memory.
Fabric ingests meeting notes, Jira tickets, GitHub commits, and Slack threads into a living knowledge graph — shared across every agent in your pipeline.
- Meeting transcripts processed in real time
- Decisions traced to their source automatically
- New team members onboard from living context
Precise documents from living context.
When requirements change, Fabric updates every downstream artifact and shows you exactly what moved — with a trail back to the decision that triggered it.
- PRDs, epics, and stories stay synchronized
- Diffs computed, not regenerated from scratch
- Lineage links every change to its cause
Agents that write, review, and ship code.
Coding agents understand your architecture, follow your conventions, open PRs, and incorporate feedback — without a developer at the keyboard for routine work.
- Every PR pre-reviewed by an agent before humans
- CI failures investigated and fixed automatically
- Code quality maintained across all changes
Four agents. One continuous loop.
Not a chatbot that waits for prompts — an agentic system that acts on every signal your team generates.
Context Agent
Continuously ingests and indexes signals from connected tools — meetings, commits, tickets, messages — to build a living project knowledge graph.
Reasoning Agent
Interprets changes against project history, standards, and decisions. Understands intent, detects conflicts, and determines what downstream artifacts need updating.
Action Agent
Generates and updates artifacts (PRDs, stories, code, release notes) with full traceability back to the triggering decision. Proposes diffs, not rewrites.
Review Agent
Surfaces clear diffs with decision lineage for human review. Highlights what changed, why, and what it impacts, so approvals are fast and informed.
See what changed. Know why.
Every output includes a clear diff and a decision trail. Approvals go from "re-read everything" to "I see exactly what changed."
Decision Lineage
Every artifact links back to the conversation, meeting, or decision that created it.
Artifact Diffs
When context changes, Fabric shows exactly what moved and why — no guessing needed.
AI Tasks Completed
PRs Generated
Lines of Code
Time Saved on Docs
What Engineering Leaders Are Saying
"Fabric transformed how we ship software. Our PRD-to-production time went from 2 weeks to 2 days."
Jerry N.
VP of Engineering
"The coding agents understand our codebase and follow our patterns perfectly. It's like having senior devs on demand."
John K.
Staff Engineer
"Our documentation is finally up to date. The AI generates specs that developers actually want to read."
Steve M.
Director of Product
Trusted by teams at
Your tools, one context.
Fabric connects through MCP — the open standard for secure, structured AI-to-tool communication.
Project Management
Plan
Jira
Sync epics, stories, sprints bidirectionally
Linear
Import issues and project structures in real time
Azure DevOps
Connect boards, backlogs, and work items
Communication
Capture
Slack
Capture decisions from channels and threads
Microsoft Teams
Ingest meeting notes, chat, and action items
Email
Extract requirements from stakeholder threads
Development
Ship
GitHub
Monitor PRs, commits, code reviews, branches
GitLab
Bidirectional sync with merge requests and pipelines
Bitbucket
Connect repositories and pull request workflows
Documentation
Preserve
Confluence
Read and update specs, RFCs, design documents
Notion
Sync project wikis, meeting notes, knowledge bases
Google Docs
Import and reference shared documents and sheets
MCP — Model Context Protocol
An open standard that gives AI models a consistent way to interact with external tools and data sources. Adding a new tool to Fabric is configuration, not code.
Pricing
Choose the plan that works best for you.
Individual
- Bring Your Own AI Key (BYOK)
- Advanced models (GPT-4, Claude, Gemini, Mistral & more)
- Custom AI agents that can execute actions
- Connections (GitHub, Google Drive, Notion, Slack…)
- Unlimited AI chats & agent tasks
- Privacy & data security (SOC2, Zero Data Retention)
- AI-powered Kanban boards & workflows
- Knowledge base & document RAG
- MCP server integrations
- Priority email support
Enterprise
- Everything in Individual, plus:
- Advanced security and controls
- Larger storage and file size limits
- Single Sign-On (SSO) (Okta, Entra ID, Jumpcloud)
- Custom pricing on API & programmatic usage
- Flexible payment options (SEPA, Credit Card)
- Priority support & dedicated account management
- Priority access to new features
- US / EU data hosting
- User provisioning (SCIM)
- Audit logs & compliance reporting
Frequently Asked Questions
Everything you need to know about getting started with Fabric.
The AI Orchestrator is a central coordinator that intelligently delegates tasks to specialized agents. It can plan complex workflows, execute code, browse the web, and coordinate multiple agents—all with human-in-the-loop approvals when needed.
Workflows are built on Temporal, an open-source durable execution platform. This means your workflows automatically retry on failures, survive server restarts and deployments, and never lose progress—even for long-running tasks.
MCP (Model Context Protocol) is an open standard for connecting AI to external tools. Fabric supports MCP servers like GitHub, Linear, Slack, and Firecrawl—and you can connect your own custom servers to extend the platform's capabilities.
Build a library of battle-tested prompts, organize with tags and categories, and use our AI-powered enhancer to improve clarity and effectiveness. Export to XML, Markdown, or JSON and share across your team.
Yes! Use the A2A (Agent-to-Agent) protocol to register custom agents that integrate with the orchestrator. Your agents can be shared at the user or organization level and participate in orchestrated workflows.
Fabric includes 9+ system agents: Document Generator, CUGA Generalist (browser automation + code execution), Task Planner, Story Breakdown, Prompt Enhancer, Code Executor, API Agent, and MCP Tool Executor.
Absolutely. Your data is encrypted, isolated per organization, and never used to train AI models. You can use your own AI API keys (BYOK) for complete control over data processing.
All critical workflows support human-in-the-loop approvals. The orchestrator can pause for confirmation before executing sensitive actions. Review generated content before it's finalized—you're always in control.
Still have questions?
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