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PurrrrrFocus: Pomodoro Timer App - App Store Workflow Engine — Multi-Step Orchestration for Bun RapidPhoto: Pro Photo Editor App - App Store GitHub - DheerG/swarms: Achieve extraordinary results with claude code across a variety of tasks SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Show HN: VCoding – A 5 MB native Windows IDE with no dynamic dependencies Show HN: LLMs don't hallucinate because they're bad at math, it's the format GitHub - Agent-FM/agentfm-core: AgentFM is a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. AgentFM lets you run massive AI workloads directly across a global mesh of idle CPUs and GPUs. Show HN: Tracking Top US Science Olympiad Alumni over Last 25 Years GitHub - Potarix/agent-hub: One place to talk to all your agents Show HN: Runtime security for AI agents(injection,tool abuse, data exfiltration) GitHub - dubeyKartikay/lazyspotify: Terminal Spotify client for macOS and Linux GitHub - the-banana-tool/king-louie: Easy to use GUI Personal AI Assistant. Win/Linux/Mac. Show HN I made my vacation rental bookable by AI agents–no Airbnb, 0% commission GitHub - basteez/jsf-autoreload: maven plugin to enable hot reload on jsf projects uvm32/hosts/host-gdbstub at main · ringtailsoftware/uvm32 GitHub - labsai/EDDI: Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus. GitHub - glitchnsec/fortyone-oss: AI Executive Assistant Platform Quickstart | Alien GitHub - muxshed/shed: One stream in, or many. 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Supports all Whisper models, NVIDIA GPU (CUDA) acceleration, JSON/SRT/VTT output, SSE streaming, offline mode, and multi-arch (amd64, arm64). GitHub - yisding/reviewwiggum GitHub - MarwanAlsoltany/serrors: Structured errors for Go: sentinel hierarchies, typed data, custom formatting, and slog integration. GitHub - soatok/age-php GitHub - Luthiraa/markitme GitHub - stagas/rtdiff: realtime git diff gui and AI-assisted commits GitHub - tombedor/excalicharts GitHub - wh1le/excalidraw-edit: Open and edit .excalidraw files from the terminal. Offline, auto-saves to disk. MalExt Sentry - Malicious Extension Scanner - Chrome 应用商店 GitHub - syi0808/asciianimesvg: Generate animated ASCII art SVGs from text. CLI, Rust library, WASM, and web editor. GitHub - zaina-ml/ml_forge: A visual-based graph node editor for training computer vision models. GitHub - anakin87/llm-rl-environments-lil-course: 🌱 A little course on Reinforcement Learning Environments for evaluating and training Language Models GitHub - takaakit/superpowers-uml: Superpowers-UML modifies Superpowers to ensure a software development workflow in which AI agents design through UML modeling. AdriByte Studio - Sviluppo Web e Soluzioni Digitali GitHub - chouligi/angel-copilot: Your personalized Angel Investment Advisor Show HN: MoodSense AI (ML and FastAPI and Gradio, Deployed on Hugging Face) Moodsense Ai - a Hugging Face Space by aman179102 GitHub - agenteractai/lodmem: Level Of Detail Context Management for Agents GitHub - ostefani/subnetlens: A fast, concurrent network scanner with a TUI and plain-text CLI, built in Go. It discovers live hosts on your network, scans their open ports, resolves hostnames, and fingerprints operating systems—delivered. Cyber Pulse: Agentic Intel - Apps on Google Play Whisper API: Self-Hostable Speech to Text Transcription The Agent-Web Protocol Stack: A Research Thesis GitHub - msmarkgu/RelayFreeLLM: A restful API designed to route user prompts to various AI model providers. Show HN: Provepy – A Python decorator that proves your code using Lean and LLMs Show HN: Pardonned.com – A searchable database of US Pardons GitHub - patrickdappollonio/dux: Dux is a terminal UI that lets you run multiple AI coding agents side by side, each in its own git worktree, with full companion terminals, macros, commit generation, and a command palette that knows more tricks than you do. kMC Crystal Simulator Show HN: HyperFlow – A self-improving agent framework built on LangGraph GitHub - stef41/vibescore: 🎵 Grade your vibe-coded project. One command, instant letter grade across security, quality, dependencies, and testing. GitHub - stef41/lmscan: 🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline. imgur.com GitHub - visionscaper/collabmem: Enabling long-term collaboration with Agentic AI - building up episodic and world model memory over time with in-context awareness 在 Steam 上购买 FriedrichAI: Offline AI 立省 10% GitHub - atripati/ark: AI Runtime Kernel — a context operating system for AI agents. Eliminates tool bloat, loads only what’s needed, and gives LLMs their reasoning space back. GitHub - nowork-studio/toprank: Open-source Claude Code skills for SEO, SEM, Google Ads GitHub - tacomanator/sash: Lightweight macOS menu bar app for reliably cycling through windows of the current application. Appents | Social Media Management for Product-First Teams GitHub - pnhoang/youtube-spam-blocker: Automatically detects and hides spam messages in YouTube Live chat. Set rate limits, keyword filters, and block repeat offenders. GitHub - decisionnode/DecisionNode: CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable. GitHub - AvaCodeSolutions/django-email-learning: An open source Django app for creating email-based learning platforms with IMAP integration and React frontend components. The $100K Gap in Kubernetes Security Tooling Function Calling Harness: From 6.75% to 100%
Velane | AI Agent Code Runtime
abhishekraj2 · 2026-06-21 · via Hacker News: Show HN

Don't write workflows.
Let your agent do it.

Connect Velane to Cursor or Claude via MCP. Your agent creates workflows, pulls integration docs, tests against dev, and promotes to production — without leaving the chat.

Open source · AGPL-3.0800+ integrationsBun & Python runtimesIsolated sandbox per invocation3 environments: dev · staging · prod

Integrations

800+ tools. Zero tokens in your code.

Your agent discovers connected accounts and calls any API through Velane — no OAuth flows, no credentials, no glue code.

Salesforce logo

Salesforce

Zendesk logo

Zendesk

HubSpot logo

HubSpot

Stripe logo

Stripe

Notion logo

Notion

Slack logo

Slack

GitHub logo

GitHub

Linear logo

Linear

Who it's for

Built for developers who ship with AI

Whether you're a solo developer or part of a larger team, Velane fits the way you already work.

Solo developers

You're building an AI agent and don't want to maintain a backend just to call Stripe or Slack. Velane handles the runtime, OAuth, and deployment pipeline so you can stay in your editor.

  • Ship integrations in one agent conversation
  • No OAuth plumbing or credential management
  • Open source — self-host or use the hosted version
  • Sandboxed execution, no infra to manage

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.

  • Shared credential store — one OAuth connection per provider
  • Environment promotion: dev → staging → prod
  • Invocation logs and audit trail per tenant
  • Role-based access: invoke, manage, admin scopes

How it works

Your IDE is now your deployment pipeline.

One MCP connection. Your agent handles the rest — writing, testing, and shipping production workflows autonomously.

Your Agent

Cursor · Claude Code

1

Create & Connect

Your agent calls list_connections to discover your OAuth accounts, fetches live API docs for any provider, then writes Bun or Python code and saves it as a versioned workflow.

2

Run & Debug

The agent invokes the workflow on dev, reads execution logs with get_logs, and autonomously fixes errors — all without leaving the chat window. Each run is isolated in an ephemeral sandbox.

3

Promote

Once tests pass, the agent calls publish_snippet with env: "prod". Your workflow goes live at a stable HTTP endpoint — versioned, audited, and rollback-ready.

Setup

Two lines to connect. One handler to ship.

Add Velane to your MCP config, then your agent writes real Bun or Python code. No credentials in code — the proxy injects auth automatically.

800+

Integrations via Nango

3

Environments: dev · staging · prod

Comparison

Why not just use...

Lambda handles execution. Pipedream handles workflows. Neither was designed for AI agents that write, test, and ship code autonomously.

Pricing

Simple, predictable pricing

Start free on cloud or self-host under AGPL. Upgrade when you need more.

Cloud

Free

$0/ month

For personal projects and exploration.

Get started free

  • 500 invocations / month
  • Up to 5 workflows
  • Shared runtime
  • All 800+ integrations
  • Community support

Most popular

Hobby

$20/ month

For active builders and indie developers.

Start building

  • 10,000 invocations / month
  • Unlimited workflows
  • Shared runtime
  • All 800+ integrations
  • Email support
  • 30-day execution log history

Dedicated

$100/ month

For production workloads that need isolation and guarantees.

Get started

  • Unlimited invocations
  • Unlimited workflows
  • Dedicated cluster
  • All 800+ integrations
  • Priority support
  • Uptime SLA
  • Custom domain

Self-host

Personal / Small Startup

Free

Self-host the full stack under AGPL-3.0. Free forever for personal projects and startups building open-source products.

View on GitHub

  • Full source code access
  • Deploy on your own infra
  • OpenTofu configs for EKS included
  • Community support via GitHub Issues
  • AGPL-3.0 — changes must stay open source

Commercial

$5,000/ year

Self-host Velane in a proprietary product without the AGPL-3.0 copyleft requirement. Includes a commercial license for your entire organisation.

Contact for a license

  • Commercial license — no copyleft obligations
  • Self-host on your own infra
  • Full source code access
  • Priority email support
  • License covers your entire organisation

Your agent is waiting for a runtime.

Add two lines to your MCP config and let your agent ship its first workflow in minutes.