Tired of building agents? throw an LLM at this framework

In plain words

This is a framework designed for developers who want to build AI agents without starting from scratch. It provides a structured approach to implementing large language models for agent-based applications. The framework simplifies the development process by offering pre-built components and patterns that handle common agent tasks, making it easier for software engineers and AI practitioners to create functional agents quickly.

written from the facts on this page · September 2026

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  LLMWare2024 · llmware.ai · ▲358

  Dev tool to make AI apps to deploy privately or locally

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  SimplAI2025 · simplai.ai · ▲589

  Hey HN, I've been building SimplAI for the past several months — it's a platform for building, testing, and deploying LLM-powered agents and multi-step workflows. The problem I kept running into: spinning up an AI agent pipeline means stitching together prompt management, tool calling, memory, evals, and deployment — often from scratch every time. SimplAI tries to be the layer that handles all of that so you can focus on what your agent actually does. What it does: - Visual + code-first workflow builder for chaining LLM calls, tools, and APIs - Built-in prompt versioning and A/B testing…

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  Lindy2024 · lindy.ai · ▲396

  I'm a big fan of Chris Dixon's idea that "what the smartest people do on the weekends is what everyone else will do during the week in ten years." One such thing rn is "creating AI agents." Most devs I know have a few agents lying around. But you shouldn't have to be an engineer to use agents — and even engineers don't want to code every time they need a new agent. So we built a no-code platform to make it 100x easier to create those: * you give a prompt * select amongst 3,000+ API connectors we built (no need to fiddle with OpenAPI specs) * add event-based triggers that'll wake up your…

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  Minimal JavaScript/TS framework that made us 10k in 10 days2025 · github.com · ▲10

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• IG
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