LLMStack – Self-Hosted, Low-Code Platform to Build AI Experiences

What it does

No-code multi-agent framework to build LLM Agents, workflows and applications with your data - trypromptly/LLMStack

In the maker’s words, at launch

LLMStack is a low-code platform that can be used to build LLM apps, chatbots and integrate AI experiences into existing products/workflows. It comes with everything out of the box that one needs to build LLM apps locally. It can also be used in a multi-tenant setting, making it available for everyone to use in…

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  TensorZero2025 · github.com · ▲307

  Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

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  LLMStack – Low-Code Platform for Building LLM Apps with LocalAI Support2023 · github.com · ▲7

  No-code multi-agent framework to build LLM Agents, workflows and applications with your data - trypromptly/LLMStack

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  Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https:&#x2F;&#x2F;blog.normalcomputing.ai&#x2F;posts&#x2F;2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…

  AI · 2023 · github.com