Open Source Foundation · Enterprise Production Layer

Open source foundation. Enterprise AI power.

Start free with MIT-licensed tools. Scale to the enterprise platform when you need tenant isolation, MCP integrations, audit trails, and production support — all running inside your Azure environment.

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terminalMIT Open Source

speedProduction Ready

verified_userEnterprise Grade

agent-framework-cli — /workspace5 agents active

# Engineer submits task in natural language

$ /acli.run "Add rate limiting to the payments API"

[orchestrator] Starting 10-phase lifecycle...

✓ Spec authored with acceptance criteria

✓ Architecture plan reviewed

✓ Security review passed (OWASP checked)

⏸ Gate 1 — awaiting your approval

# You approve. Agents continue.

✓ Implementation complete (token-bucket alg.)

✓ 14 tests written, all passing

✓ PR #5291 opened, linked to spec

Done. Total time: 4 min 12 sec.

10 phases · 5 agents · 3 gates✓ Gate 3 passed

Built on:

cloudMicrosoft Azure

smart_toyMicrosoft Foundry

terminalGitHub Copilot

codeVS Code Native

hubAzure OpenAI

The Problem

AI tools write code. They don't ship software.

Every engineering team has AI access now. Very few have the infrastructure to use it without introducing chaos. Here's the gap Corvis fills.

Without Corvis

removePrompt → code → hope it's correct
removeNo spec — requirements live in Slack threads
removeSecurity review happens at PR time, or not at all
removeAgent writes code; nobody owns the architecture
removeHallucinations leak into production PRs
removeEvery team member uses AI differently, inconsistently

check

With Corvis Labs

doneSpec-first: acceptance criteria before a single line of code
done10-phase lifecycle with hard checkpoints
doneOWASP security scan baked into every feature build
doneArchitect agent owns system design — traceable decisions
doneRAG grounded on your codebase — no hallucinations
doneSame governed workflow across every team, every project

lifecycle phases

specialized agents

human approval gates

< 10 min

to first workflow

MIT

open source license

Two tiers. One stack.

Start free. Scale when you're ready.

The core tools are MIT-licensed and free forever. The enterprise platform is the production layer you add when you need isolation, compliance, and support.

terminal

MIT · Free forever

Open Source Tools

Two production-ready frameworks. Install, use, modify — no account, no licence, no limits.

terminalagent-framework-cliNode.js · VS Code

Governed engineering workflow for GitHub Copilot

$ npm install -g agent-framework-cli

$ acli setup

✓ 5 agents · 10-phase lifecycle · 3 human gates

hubfoundry-kitPython · Azure

Build & deploy Azure AI Foundry agents

$ pip install foundry-kit

$ foundry-kit agent init my-bot --model gpt-4o

✓ Foundry · Azure AI Search · Azure Functions

Explore open source Docs

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Enterprise Platform

Everything in OSS, plus:

The production layer built on top of the same open source stack — for teams that need compliance, scale, and support.

shield
Azure tenant isolation — your data never leaves
integration_instructions
MCP protocol + enterprise plugin integrations
policy
Full audit trail on every agent action
groups
Multi-tenant support for large orgs
manage_accounts
SSO / Entra ID + RBAC enforcement
support_agent
SLA-backed production support

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How it works

From idea to merged PR, with governance at every step.

edit_note

Specify

You describe what you want in plain language. The architect and spec-kit agents author a structured spec with acceptance criteria and a security checklist — before any code is written.

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Agents Execute

Five specialized agents work through 10 lifecycle phases: architecture, security review, implementation, testing, and documentation. You see every step, every decision.

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You Approve

Three mandatory human gates require your sign-off before the next phase begins. The system is incapable of fully autonomous delivery — governance is enforced by design.

See the full 10-phase lifecycle →

Enterprise Solutions

Three enterprise offerings. One governed platform.

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AI-Governed Software Delivery

Ship production code faster without cutting corners. Autonomous coding agents follow structured specs, enforce security reviews, and open PRs — you only approve three gates.

Explore Solution →

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Intelligent Operations

Replace brittle manual workflows with intelligent agents that understand your policies, systems, and data — deployed on Microsoft Foundry with full audit trails.

Explore Solution →

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Customer AI Experience

Deploy RAG-powered chat grounded entirely in your proprietary knowledge base. Answers are always cited, always accurate — no hallucinations in customer-facing surfaces.

Explore Solution →

Services

We don't just ship tools. We ship outcomes.

From a single agent to a fully governed AI engineering org — our team works alongside yours to design, build, and operate production AI systems.

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Platform Implementation

End-to-end deployment of the Corvis enterprise platform inside your Azure tenant — from Foundry provisioning to agent configuration and go-live.

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Custom Agent Development

We build bespoke agents for your specific workflows — procurement, compliance checking, code review, document analysis, or anything else your team repeats.

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RAG Pipeline Design & Build

Design and implement production RAG pipelines over your proprietary data — SharePoint, Confluence, codebases, SQL — with hybrid semantic + keyword search.

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Systems Integration

Connect Corvis agents to your existing stack: GitHub, Azure DevOps, Jira, ServiceNow, Teams, Slack. We handle the auth, webhooks, and data mapping.

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Training & Enablement

Hands-on workshops for engineering teams — from CLI setup and prompt engineering to running the full 10-phase governed lifecycle with your own codebase.

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Production Support

SLA-backed ongoing support, model updates, agent tuning, and platform upgrades. Your AI infrastructure stays current without pulling your team off product work.

Talk to us about your project →

Security & Compliance

Enterprise trust built into the architecture.

Corvis doesn't ask your security team to make exceptions. It was designed from day one for regulated environments — air-gapped, tenant-isolated, and auditable at every layer.

lock

Tenant Isolation

Every deployment runs exclusively inside your Azure tenant. Your data never leaves your infrastructure.

policy

Full Audit Trail

Every agent action is logged, timestamped, and attributable. Complete observability from spec to PR.

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On-Prem Available

Air-gapped deployments supported for regulated industries. No external API calls required.

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Human Gates Enforced

The system cannot proceed past checkpoints without explicit human approval — by architecture, not policy.

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Zero Trust Architecture

Least-privilege agent permissions. Each agent is scoped to only what it needs for its specific phase.

encrypted

Encrypted End-to-End

All data in transit and at rest is encrypted using AES-256 and TLS 1.3 within your Azure environment.

View security architecture →

Integrations

Fits into your existing stack.

Corvis agents connect to the tools your team already uses — no migration required, no new processes to learn.

merge_typeGitHub

cloudAzure DevOps

assignmentJira

menu_bookConfluence

chatMicrosoft Teams

notificationsSlack

codeVS Code

storageSharePoint

table_chartNotion

cloud_uploadS3 / Blob

addMore via custom connectors

Ready to give your engineering org an AI advantage?

See how Corvis Labs deploys production-grade agentic infrastructure in your environment — governed, auditable, and live within days.

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