ModelFusion – Alternative to Langchain.js
ModelFusion – Alternative to Langchain.js launched on August 3, 2023 with 5 votes, #1,919 of 4,347 launches that month and more than 50% of that year's launches.
Does a similar job
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Nous – Open-Source Agent Framework with Autonomous, SWE Agents, WebUI2024 · github.com · ▲155Hello HN! The day has finally come to stop adding features and start sharing what I've been building the last 5-6 months. It's a bit of CrewAI, OpenDevon, LangFuse/Cloud all in one, providing devs who prefer TypeScript an integrated framework thats provides a lot out of the box to start experimenting and building agents with. It started after peeking at the LangChain docs a few times and never liking the example code. I began experimenting with automating a simple Jira request from the engineering team to add an index to one of our Google Spanner databases (for context I'm the…
- LILanguageModels.io2018 · languagemodels.io · ▲9
Vers, a tool to version data models instead of APIs2015 · github.com · ▲7Effortless data model versioning for Javascript and Node.js - TomFrost/Vers
LLMFlows – LangChain alternative for explicit and transparent apps2023 · github.com · ▲49Hi HN! Over the last several weekends, I've been building LLMFlows as an alternative to langchain. There's been a lot of discussion on the shortcomings of langchain in the past few weeks, but when I first tried it in March, I thought there are 3 main problems: 1. Too many abstractions 2. Hidden prompts and opinionated logic in chains which makes it hard to customize 3. Hard to debug This inspired me to try and build a framework that solves these 3 issues, and therefore I started building LLFlows with the "philosophy" of being "simple, explicit, and transparent." A few weekends later, I think…
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Source: Show HN post ↗
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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://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
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