Velane
Agent-first cloud platform to run, coordinate, and scale AI agent tools.
About this tool
Best for
AI agent tool environments, bun/python runtimes, secrets management, and sandboxing.
Key Features
- Zero-cold-start sandboxes for executing code in Bun and Python runtimes
- Unified library of over 800 software integrations for API connections
- Open-source framework available for self-hosting under AGPL-3.0 license
- Integrated version control and environment secrets management console
Pricing summary
Velane is free to self-host. Velane Cloud features a free tier for developers to test sandboxes, with production workloads billed on a usage model depending on sandbox hours and API calls.
Pricing Plans
Open Source
Free self-hosted agent tools cloud.
- AGPL-3.0 licensed core
- Self-managed sandboxes
- Local secrets storage
- Community-led support
Cloud Starter
Managed sandbox to test agent tool runtimes.
- Limited monthly sandbox hours
- Standard integration library
- Basic secrets manager
- Standard support access
Cloud Pro
Dedicated execution capacity for production agents.
- Usage-based sandbox pricing
- Priority sandbox runtimes
- Access to all 800+ integrations
- Priority support channels
Other pricing notes
- Pricing checked on 2026-07-27 from the official Velane GitHub and site references.
- Self-hosted deployments require setting up Docker/Kubernetes container orchestration.
- Integrations are powered by Nango templates, allowing developers to extend custom APIs.
Pros & Cons
Pros
- Simplifies giving AI agents code execution capabilities safely
- Massive library of integrations speeds up developer setup
- Open-source core allows self-hosting on private servers
- Runtimes feature extremely fast startup times for real-time actions
- Allows agents to manage their own configurations via terminal
Cons
- Requires deep developer experience to integrate with custom agents
- Self-hosting requires manual configuration of docker sandboxes
- Documentation can be sparse for advanced API edge cases
- Security auditing is required before deploying agents to production
- Usage scaling depends on hosting resources and network bandwidth
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