I got fed up with LangChain so I made a simple alternative for AI apps
Python package for easily interfacing with chat apps, with robust features and minimal code complexity. - minimaxir/simpleaichat
I got fed up with LangChain so I made a simple alternative for AI apps launched on June 8, 2023 with 6 votes, #1,856 of 4,655 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 3 years on.
Does a similar job
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Python package for interfacing with ChatGPT with minimized complexity2023 · github.com · ▲129Python package for easily interfacing with chat apps, with robust features and minimal code complexity. - minimaxir/simpleaichat
I made an app to use local AI as daily driver2024 · recurse.chat · ▲637Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…
- IBI built a non-linear UI for ChatGPT2024 · grafychat.com · ▲459
Hi HN, I built this out of frustration of the evergrowing list of AI models and features to try and to fit my workflow. The visual approach clicks for me so i went with it, it provides more freedom and control of the outcome, because predictable results and increased productivity is what I’m after when using conversational AI. The app is packed with features, my most used are prompt library, voice input and text search, narration is useful too. The app is local-first and works right in the browser, no sign up needed and it's absolutely free to try. BYOAK – bring your own API Keys. Let me…
Aident AI Beta 2Mar 2026 · aident.ai · ▲398Hi HN — I’m Kimi, founder of Aident AI. A couple years ago, I cold-started a startup and tried to automate my outreach pipeline with a patchwork: RPA + Zapier + "just some ChatGPT". It worked… until it didn’t. Every time I tweaked the strategy, the automation snapped. The system wasn’t built for change — it was built for wiring. And that’s when it hit me: AI is finally smart enough to do real work, but we still don’t have a clean way to communicate the work to it: Drag-and-drop flows are too rigid; Scripts are too fragile; Prompts are too ephemeral. I kept thinking: why can’t automation be…
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