The Real Problem with AI Agents

Everyone's excited about AI agents writing code. But here's what the demos don't show you: getting that code to actually do something useful.

Your agent can write a perfect Stripe integration. But it still needs credentials. It still needs OAuth flows. It still needs somewhere to run that isn't your laptop. And if you're working with a team? Now everyone needs access to those secrets, audit trails, and controlled rollouts.

This is the gap Velane fills—and honestly, it's been waiting to exist for a long time.

What Is Velane, Exactly?

Velane is an agent-first runtime that combines three things developers usually stitch together from multiple services:

• iPaaS capabilities (think Zapier or n8n, but code-first)
• Secure code execution (isolated sandboxes per run)
• Production controls (dev, staging, prod environments)

The killer feature? Your AI agent connects via MCP—the Model Context Protocol—and does everything from within your chat interface. Write workflows, pull integration docs, test against dev, promote to production. All without opening a new tab.

800+ Integrations, Zero Token Management

This is where it gets interesting for startups and solo developers.

Connecting to Stripe, Salesforce, HubSpot, Slack, GitHub—these usually mean OAuth flows, credential storage, and a backend to manage it all. With Velane, your agent discovers connected accounts through a simple MCP call and calls any API through the platform.

No credentials in your code. No OAuth plumbing. The proxy injects authentication automatically.

Think about what that means for velocity. You're mid-conversation with Claude or Cursor, building an integration, and instead of breaking flow to set up API keys, your agent just... uses the integration. The auth is handled.

Your IDE Is Now Your Deployment Pipeline

Velane breaks down the whole create-to-production workflow into three steps your agent handles autonomously:

1. Create & Connect Your agent calls list_connections to discover your OAuth accounts, fetches live API docs, writes Bun or Python code, and saves it as a versioned workflow. Everything stays in the conversation.

2. Run & Debug Invoke the workflow on dev. Read execution logs with get_logs. Autonomously fix errors. Each run happens in an ephemeral sandbox, so nothing bleeds into production.

3. Promote Tests pass? Agent calls publish_snippet with env: "prod". Your workflow goes live at a stable HTTP endpoint—versioned, audited, and rollback-ready.

Two lines to connect. One handler to ship.

Solo Developer vs. Team: Different Games, Same Platform

Velane doesn't try to force you into a workflow that doesn't fit. It scales with how you actually work.

For solo developers: You're probably not building a backend just to call Stripe or Slack from an AI agent. Velane handles the runtime, OAuth, and deployment pipeline so you can stay in your editor. Ship integrations in one conversation. No credential management. Open source if you want to self-host.

For teams: Your agents need shared credentials, audit trails, and controlled rollouts. Velane gives every team member's agent the same integrations without anyone touching a secret directly. Shared credential store, environment promotion from dev to staging to prod, invocation logs per tenant, and role-based access (invoke, manage, admin).

The Comparison Question

You're probably thinking: "Can't I just use Lambda + Pipedream?"

Short answer: yes, but they're not designed for AI agents that write, test, and ship code autonomously.

Lambda handles execution. Pipedream handles workflows. Neither was built for an agent that discovers APIs, writes code, tests it, and promotes it—all from a chat interface. Velane is agent-native by design. The MCP connection isn't an afterthought; it's the entire point.

Pricing That Makes Sense

Velane keeps it simple with two tracks:

Cloud Plans:

• Free: 500 invocations/month, up to 5 workflows, shared runtime, all 800+ integrations
• Hobby ($20/month): 10,000 invocations, unlimited workflows, 30-day log history
• Dedicated ($100/month): Unlimited everything, dedicated cluster, uptime SLA, custom domain

Self-Host Plans:

• Free under AGPL-3.0: Full source code, deploy on your own infra, great for personal projects and open-source products
• Commercial ($5,000/year): Self-host in proprietary products without copyleft obligations—covers your whole organization

The free tier is genuinely useful, not a crippled demo. And if you need to self-host without going open-source, the commercial license exists for that.

Is Velane Right for You?

If you're building with AI agents and spending more time on OAuth plumbing and deployment logistics than on actual agent logic, Velane is worth a look. The MCP integration is clean, the sandboxed execution is smart, and having dev/staging/prod built in from the start means you're not retrofitting production controls later.

It's still early, and the platform is AGPL open source, which means you can dig into the code or self-host if enterprise compliance matters to you.

The idea of staying in your editor while your AI agent builds, tests, and ships integrations autonomously? That's the workflow developers have been waiting for.

Velane connects Bun and Python runtimes to 800+ integrations through a simple MCP configuration. Whether you're a solo developer building your first AI agent workflow or a team standardizing how agents interact with your stack, the setup is two lines of config away from "your agent handles the rest."