OpenComputer vs Velane: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of OpenComputer and Velane — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

OpenComputer

Digger

Paid

Deploy managed AI agents as persistent, always-on cloud VMs with steerable execution and permanent HTTP endpoints.

Persistent VMs: Always-on virtual machines with a full filesystem and OS access that survive restarts, so agent state is exactly where you left it.
Elastic Compute: Resize memory (1-16 GB) and vCPU while a VM is running to match the workload of the agent harness.
Instant Checkpoints: Snapshot any VM state to fork or roll back in seconds, recovering from bad agent runs without teardown.
One-Prompt Deploy: Paste a single prompt into Claude Code, Codex, or Cursor to install the CLI, log in, initialize, and deploy an agent end-to-end.
Permanent Agent URLs: Every deployed agent gets a stable HTTP endpoint reachable from Slack, webhooks, and cron jobs.
Steerable Mid-Run: Interrupt and redirect long-running agents without killing the session, keeping durable state intact.
Hibernate & Wake: Pause idle VMs to stop paying for compute and resume them instantly when the agent is needed again.

Shipping B2B Agent Platforms: Provide end users of your Lovable/Devin/Bolt-style product with per-user VMs that remember installed dependencies and files across sessions.
Long-Running Autonomous Tasks: Run overnight research, scraping, or refactor agents that need to persist context across many hours without a sandbox timeout.
Slack & Cron-Triggered Agents: Wire a permanent agent URL to a Slack app or cron so a team can invoke the same agent state from anywhere.
Rapid Agent Prototyping from an IDE: Turn a natural-language prompt inside Claude Code or Cursor into a live, invokable agent without provisioning infrastructure.
Safe Rollbacks for Autonomous Coders: Use checkpoints to fork an agent VM before risky changes and restore instantly if the agent breaks its environment.

Freemium

Open-source integration infrastructure for AI agents — 800+ OAuth-connected APIs, sandboxed runtimes, and dev/staging/prod promotion via MCP.

800+ OAuth Integrations: One connection lets agents call Salesforce, Stripe, Slack, HubSpot, Notion, GitHub, Linear, Zendesk and hundreds more via the Nango catalog.
MCP-Native Interface: Agents connect to mcp.velane.sh and drive discovery, code generation, execution, and deployment through a single MCP server.
Bun & Python Sandboxes: Every invocation runs in an isolated ephemeral runtime, so agent code can be tested safely without touching production state.
Dev / Staging / Prod Environments: Promote workflows through three environments with agent-issued publish_snippet calls and stable versioned HTTP endpoints.
Shared Credential Store: One OAuth connection per provider is reused across every team member's agent — no secret ever appears in code.
Invocation Logs & Audit Trail: Per-tenant execution logs let agents call get_logs to debug failures and give teams a full audit history.
Role-Based Access: Invoke, manage, and admin scopes control what each teammate's agent is allowed to do.
Self-Host or Hosted: Run Velane on your own infrastructure under AGPL-3.0 or use the managed mcp.velane.sh endpoint.

Agent-Built Stripe→HubSpot Automations: An agent in Cursor writes a Bun workflow that reads Stripe customers and pushes them into HubSpot, tests it in dev, and promotes to prod in one conversation.
Solo Developer Shipping SaaS Integrations: A single developer wires up Slack, Notion, and GitHub actions without maintaining an OAuth backend.
Multi-Tenant B2B Agent Products: A team runs Velane per tenant so each customer's agent has isolated credentials, sandboxes, and audit logs.
Safe Refactors of Live Workflows: Deploy a new version of a workflow to staging, verify with logs, then roll to prod with instant rollback.
MCP-First Prototyping: Prototype an entire integration pipeline from an IDE chat without spinning up backend infrastructure.