Alternatives
Products that do what EnergyAtIt does
Build on the API layer between AI agents and the power grid
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Make money in your sleep with powerful copy-paste AI prompts
2025
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Hey all! I recently gave a workshop talk at PyCon Greece 2025 about building production-ready agent systems. To check the workshop, I put together a demo repo: (I will add the slides too soon in my blog: https://www.petrostechchronicles.com/) https://github.com/Aherontas/Pycon_Greece_2025_Presentation_... The idea was to show how multiple AI agents can collaborate using FastAPI + Pydantic-AI, with protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for safe communication and orchestration. Features: - Multiple agents running in containers -…
Sep 2025 · github.com
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Have you ever wondered about the carbon footprint of your API? This week, the 27th climate summit takes place in Egypt. This inspired us to draw attention to the emissions produced by our online behaviour. We introduced some CO2-related features to our API testing tool: - Calculate carbon emissions of an API call - Set up a check to validate that your API endpoint doesn't cross the limit when it comes to emissions - Test all your API endpoints and get an approximate calculation of your API emissions in total We hope that by using these features, you will become more aware of the carbon…
2022 · docs.stepci.com
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I built an unofficial CLI and MCP server for Lambda cloud GPU instances. The main idea: your AI agents can now spin up and manage Lambda GPUs for you. The MCP server exposes tools to find, launch, and terminate instances. Add it to Claude Code, Cursor, or any agent with one command and you can say things like "launch an H100, ssh in, and run big_job.py" Other features: - Notifications via Slack, Discord, or Telegram when instances are SSH-ready - 1Password support for API keys - Also includes a standalone CLI with the same functionality Written in Rust. MIT licensed. Note: This is an…
Jan 2026 · github.com
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2024 · old.reddit.com
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More than a decade ago, I adopted the self-imposed rule, if I answer a question more than once, the third time I need to be able to answer with a URL. Today, I published one very large URL - a book distilling what I learned from helping people work remotely at GitHub, and I wanted to rethink my rule for the age of AI. What if, instead of a URL, I could create an interactive experience that could tailor the guidance to your particular situation? What I ended up building was an Open and Async Advisor MCP server. To install (in claude or any other AI): > claude mcp add open-async -- npx -y…
Jul 2026 · github.com
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Track the carbon footprint of your AI prompts in real time
Apr 2026 · chromewebstore.google.com
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Hey HN, Sagiv from liblab is here. We've been deep in the world of API tooling for years at liblab, primarily focusing on generating SDKs and documentation from OpenAPI specs. Recently, we kept running into a recurring frustration: connecting AI tools to existing APIs is way more complex than it should be. You start with a simple goal – let an LLM talk to your API – and suddenly you're neck-deep in spinning up infrastructure, wrestling with authentication, and writing a ton of custom glue code just to translate natural language into structured API calls. Then you have to maintain it all. To…
2025 · mcp.liblab.com
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