Alternatives
Products that do what GladeKit does
AI agent for Unity game development
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In the wake of all the Unity nonsense, just wanted to toss the Raverie engine into this mix :) We’re building off a previous engine that we worked on for DigiPen Institute of Technology called the Zero Engine with a similar component based design architecture to Unity. Our engine had a unique feature called Spaces: separate worlds/levels that you can instantiate and run at the same time, which became super useful for creating UI overlays using only game objects, running multiple simulations, etc. The lighting and rendering engine is scriptable, and the default deferred rendering…
2023 · raverie-us.github.io
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Hey Hacker News! Launching gptengineer.app into beta today. It's like Claude Artifacts, but: - you can edit the code in your fav IDE (two-way github sync) - installs npm packages - automatically picks up build and runtime errors and fixes them - very fast, built with rust The full stack capabilities are built on supabase (prefer to not have to handle auth + user data at this point so this is owned by the user) The seed for this project was an open source experiment, posted about that previously here: https://news.ycombinator.com/item?id=36422730 Would love feedback if you give…
2024 · gptengineer.app
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Hi HN! We’re Max and Peyton from The Interface (https://www.theinterface.com/). We started out building an AI agent dev tool, but somewhere along the way it turned into Sims for AI agents. Demo video: https://www.youtube.com/watch?v=sRPnX_f2V_c. The original idea was simple: make it easy to create AI agents. We started with Jupyter Notebooks, where each cell could be callable by MCP—so agents could turn them into tools for themselves. It worked well enough that the system became self-improving, churning out content, and acting like a co-pilot that helped you…
2025 · youtube.com
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A conversational AI interface to build intelligent workflows
Apr 2026 · tines.com
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- 11IB
Hi! I build an MCP server that allows clients to play Minesweeper. It turns out that Claude is not very good at it (makes obvious mistakes, hasn't won a single game on a 9x9 board after many attempts). I am curious how I can prompt Claude to do better?
2025 · github.com
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2025 · npmjs.com
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Hey HN, Gabe and Alexander here from Hatchet. Today we're releasing Pickaxe, a Typescript library to build AI agents which are scalable and fault-tolerant. Here's a demo: https://github.com/user-attachments/assets/b28fc406-f501-442... Pickaxe provides a simple set of primitives for building agents which can automatically checkpoint their state and suspend or resume processing (also known as durable execution) while waiting for external events (like a human in the loop). The library is based on common patterns we've seen when helping Hatchet users run millions of…
2025 · github.com
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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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Hi HN! We’re Theodore and Louis, founders of Armature (YC P26). We reconstruct the entire session behind the MCP tool calls you receive, including what the user asked their agent to do and what the agent thought. You wrap your MCP in 3 lines of code (our SDK is available in Typescript, Python and Go) and start seeing in your dashboard: - All sessions reconstructed: it’s like reading the real conversation the user had inside Claude or ChatGPT! - A ranking of your MCP most popular use cases, built from sessions clustering - The most frequent issues your users’ agents encounter so you can fix…
Aug 2026 · armature.tech
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I've been building Pneuma, a desktop computing environment where software doesn't need to exist before you need it. There are no pre-installed applications. You boot to a blank screen with a prompt. You describe what you want: a CPU monitor, a game, a notes app, a data visualizer and a working program materializes in seconds. Once generated, agents persist. You can reuse them, they can communicate with each other through IPC, and you can share them through a community agent store. The idea isn't that everything is disposable. It's that creation is instant and the barrier to having exactly…
Mar 2026 · pneuma.computer
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Hey guys, I’ve been playing around with this prototype for a way to build games using GPT. Some details: - It’s an absolute hack right now; expect bugs and user unfriendliness. Also UI is not fixed for mobile yet (use desktop). - It’s top-down, 2d. You view the world from above, and you can move around by clicking and dragging the world. - It’s using gpt-4-turbo under the hood, and I’m outputting typescript code, which gpt will self-repair when there are type errors. - Here’s a simple example game: https://prompty-58a21.web.app/dune/play So far I’ve been quite impressed…
2024 · prompty-58a21.web.app
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Free master prompts for ChatGPT, Claude, Gemini & more
Mar 2026 · understandingai.net
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