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

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

Helploom

Freemium

Affordable, minimal customer support software with an embeddable live chat widget and flat, predictable pricing.

Live Chat Widget: Provides a lightweight real-time chat widget that can be embedded on websites to let visitors start conversations instantly.
One-line Installation: Deploy the chat by pasting a small JavaScript snippet into a site for immediate activation with minimal configuration.
Free Forever Plan: Includes a no-cost tier that offers the core live chat functionality for small sites or testing.
Flat, Affordable Pricing: Paid plans are advertised as flat and predictable to simplify billing for teams as they scale.
Minimal Interface: Agent and customer interfaces are designed to be simple and distraction-free, reducing training and speeding response times.
Fast, Lightweight Performance: Optimized to run with low overhead so the chat widget loads quickly on most sites.
Real-time live chat widget for websites
Free-forever plan that includes live chat
Quick deployment via copy-paste script
Minimal, lightweight user interface
Flat, affordable pricing model

Adding real-time customer support to startup or small-business websites using a simple embeddable chat without heavy infrastructure.
Testing live chat and support workflows on a free forever plan before committing to paid tiers.
Providing affordable, predictable support capabilities for bootstrapped teams that need basic chat and lightweight ticket handling.
Rapidly deploying support for marketing campaigns or landing pages by pasting the installation snippet and going live quickly.
Embedding a low-overhead support widget on static-hosted sites (e.g., Jamstack) to offer visitors instant help without server changes.
Adding live chat support to marketing or product websites
Providing lightweight customer support for startups and small teams
Offering instant support to users without complex setup
Embedding a simple help widget for indie developers and freelancers

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.