Alternatives
Products that do what GZOO Forge does
Conversation becomes structured intelligence
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Hi HN, I'm Antoine Zambelli, AI Director at Texas Instruments. I built Forge, an open-source reliability layer for self-hosted LLM tool-calling. What it does: - Adds domain-and-tool-agnostic guardrails (retry nudges, step enforcement, error recovery, VRAM-aware context management) to local models running on consumer hardware - Takes an 8B model from ~53% to ~99% on multi-step agentic workflows without changing the model - just the system around it - Ships with an eval harness and interactive dashboard so you can reproduce every number I wanted to run a handful of always-on agentic systems…
May 2026 · github.com
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NPC-Forge is a framework for building conversational agents that run on the CPU without relying on machine learning or LLMs. - NPC-Forge/docs/development.md at main · gioblu/NPC-Forge
2d ago · github.com
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WhisperFusion builds upon the capabilities of open source tools WhisperLive and WhisperSpeech to provide a seamless conversations with an AI chatbot.
2024 · github.com
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I build ChatGPT-2D with the idea to enable people to branch AI conversations interactively, pose contextual questions based on AI response and visualize your entire dialogue on a 2 dimensional map interface. What do you think?
2023 · superusapp.com
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Hi HN! Last year the project I launched here got a lot of good feedback on creating speech to speech AI on the ESP32. Recently I revamped the whole stack, iterated on that feedback and made our project fully open-source—all of the client, hardware, firmware code. This Github repo turns an ESP32-S3 into a realtime AI speech companion using the OpenAI Realtime API, Arduino WebSockets, Deno Edge Functions, and a full-stack web interface. You can talk to your own custom AI character, and it responds instantly. I couldn't find a resource that helped set up a reliable, secure websocket (WSS) AI…
2025 · github.com
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Forgefy▲4From meeting to app. AI that builds what you discussed
Jul 2026 · forgefy-meeting-to-app-ashy.vercel.app
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Video demonstration: https://youtu.be/bJFa5HOmhl4 I created a demo involving ChatGPT, OpenAI's Whisper running on-device for speech-to-text (because why not?), and ARKit. By defining a custom JavaScript environment with JavaScriptCore and describing it to ChatGPT, I was able to get it to produce functioning scripts that instantiate and manipulate 3D objects. Sketchfab is used to import 3D assets on the fly. Google Poly had a much better catalog of assets for this sort of thing but sadly, it's no longer available. The README.md describes how it all works but the gist of it is…
2022 · github.com
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It’s written in Python and I call it GoalChain. It lets you build a conversation flow graph that the user traverses. When there’s enough input it spits out a dictionary with the defined fields. Otherwise it will jump state to state as led by the user. It was fun to write, and it’s surprisingly effective if you keep in mind you’re prompt-engineering every string and field name. README.md has a mini-tutorial. Would be cool to get some ideas for how to build it further and what improvements I could make.
2024 · github.com
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