pi
A TypeScript toolkit for building agents: unified LLM API, loop, TUI, and CLI.
botpress — проект с открытым исходным кодом из категории «ИИ-агенты» от botpress (botpress/botpress на GitHub). У него 14 946 звёзд на GitHub и 2 292 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 7 октября 2026.
Open-source hub of integrations, SDK and CLI for building and deploying GPT/LLM chatbots and agents.
Use Botpress Studio/Cloud for the visual bot-building experience, and this repo when you need custom integrations, plugins or bots as code.
Add @botpress/cli globally with npm, yarn or pnpm - no need to fork this repository to create an integration.
Run bp init in your own directory to generate a project from a template, then edit its definition and implementation files.
Run bp deploy to push your integration to your Botpress workspace so your bots can use it, and publish it publicly when ready.
The /integrations folder holds all public, open-source integrations maintained by Botpress for the Botpress Hub, and the community can publish their own.
The @botpress/cli package builds, deploys and manages bots, integrations and plugins from the terminal.
@botpress/sdk is used to build integrations, and @botpress/client provides type-safe clients for consuming the Botpress APIs.
The /bots folder contains example bots built only with the SDK and CLI, useful for developers who prefer a programmatic approach.
bp deploy pushes an integration version to your workspace; add --visibility public to share it with all Botpress users on the Hub.
bp init generates a new integration from proposed templates, with definition and implementation files ready to edit.
Clone the Botpress monorepo if you want to develop on the platform tools themselves.
git clone https://github.com/botpress/botpress.git
cd botpressMost developers just install the published CLI globally instead of building the monorepo.
npm install -g @botpress/cliCreate a new integration from a template, then deploy it to your workspace.
bp init
bp deployBotpress the company maintains the platform and this repository, with community contributions to integrations.
All packages in this repository are open source under the MIT license. Building and running bots uses Botpress Cloud/Studio, which has its own plans - check botpress.com for current terms.
Bots are powered by LLM providers through Botpress Cloud, so you will need a Botpress workspace and model access arranged through the platform rather than a key for this repo itself.
Botpress is a complete chatbot platform (Studio, Cloud hosting, integrations hub) rather than a code-only framework; LangChain is a general LLM library and Rasa focuses on self-hosted conversational AI.
Install @botpress/cli, run bp init to scaffold an integration, or start building a bot directly in Botpress Studio.
A TypeScript toolkit for building agents: unified LLM API, loop, TUI, and CLI.
An open-source auth gateway connecting 1,500+ SaaS providers to AI agents via SDK, CLI, MCP and HTTP.
A visual all-in-one platform for building, debugging, and deploying AI agents.
A low-code tool for building multi-agent LLM apps — chatbots, RAG and fine-tuning in one flow.
Google's Python SDK for building AI agents on the Antigravity platform and Gemini models.
Test prompts, agents and RAGs — LLM evals, red teaming and model comparisons from the CLI
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если botpress вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к botpress — продолжайте изучать полку по обе стороны от него.
Turn messy documents into clean, structured data for language models.
Microsoft's R&D-Agent: LLM agents that automate data-driven research, Kaggle modelling and LLM fine-tuning.
A secure, fast sandbox runtime where AI agents can execute safely.
Bridge AI assistants to the Unity Editor via MCP: manage assets, scenes, scripts and tasks.
Automated penetration-testing agent framework powered by LLMs, published at USENIX Security 2024.
A framework for building realtime voice AI agents 🤖🎙️📹
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.