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The building blocks for building chatbots.

If this is your first time building with Generative AI models, check out our course, which includes 21 lessons on building with GenAI.

) - 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.

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.

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.

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

A curated list of tools and resources for building production RAG systems.

) - 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.

"Open-source platform for building AI-powered virtual software developers".

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 🧭

Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).

"building applications with LLMs through composability".

A lightweight framework for building LLM-based agents.

Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Matrix e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, GLM, Ollama, SiliconFlow, Moonshot, openclaw / hermes agent, deerflow

LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents.

A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.

A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.