The building blocks for building chatbots.
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If this is your first time building with Generative AI models, check out our course, which includes 21 lessons on building with GenAI.
LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Fast and simple framework for building and running distributed applications.
A TypeScript framework for building and running AI agents with tools, memory, and visibility.
A comprehensive framework for building AI agents that run anywhere, with full local-AI and WASM support.
) - Reactive Nostr framework with utilities for building reactive UIs and event stores.
A curated list of tools and resources for building production RAG systems.
) - An efficient, scalable, and deduplicated local blob storage that maintains metadata in SQLite. Fully compatible with Blossom, it gives developers a reliable database option for building their own Blossom servers.
) - A framework for building fully custom Blossom servers, designed for the best developer experience. Supports all Blossom endpoints and allows developers to express custom business logic on top of a protocol-compliant foundation.
A unified TypeScript SDK for building chat bots across Slack, Microsoft Teams, Google Chat, Discord, and more.
Curated list of self-hostable SaaS ideas, deployment patterns, and tools for building independent web services.
A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.
EvoAgentX is building a Self-Evolving Ecosystem of AI Agents, it will give you automated framework for evaluating and evolving agentic workflows.
Framework for tracking and building your own Google Find My Device / Find Hub trackers ðŸ§
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
An open source, serverless framework for building intelligent agents and APIs in Go or AssemblyScript (a TypeScript-like language).
An open-source framework by NVIDIA for building speech AI systems, including automatic speech recognition and text-to-speech. opensource.
An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
Practical principles for building controllable LLM applications around deterministic software.
Start building LLM-empowered multi-agent applications in an easier way.
Provides a flexible framework that simplifies the process of building custom multi-agent environments for LLMs.