ИИ-агенты
botpress
Open-source hub of integrations, SDK and CLI for building and deploying GPT/LLM chatbots and agents.
★ 14,9 тыс. звёздMIT
Смотреть руководство →pi — проект с открытым исходным кодом из категории «ИИ-агенты» от earendil-works (earendil-works/pi на GitHub). У него 113 328 звёзд на GitHub и 14 403 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 8 октября 2026.
A TypeScript toolkit for building agents: unified LLM API, loop, TUI, and CLI.
Choose one concrete task — narrow beats ambitious for a first run.
Fetch the source and skim the docs folder.
Set the environment variables or keys the project needs.
Execute the example workflow and watch what happens.
One interface across model providers.
The core run loop, ready to build on.
A TUI for interacting with your agents.
A command-line coding agent out of the box.
Fits naturally into JS/TS stacks.
Build commercial products on it freely.
Download the source and move into the project folder.
git clone https://github.com/earendil-works/pi.git
cd piPull in the Node packages the project needs.
npm installStart it with the project's documented command (often a dev server).
npm run dev # check README for the exact scriptIt is an open-source project at earendil-works/pi with 14403 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — it's MIT licensed: free to use, modify, and ship commercially. Just keep the license notice in copies.
One interface for many model providers, so you can swap models without rewriting agent code — check the README for the supported list.
A toolkit: the agent loop, TUI, and CLI are building blocks you assemble, not a platform you adopt.
Clone the repo and follow the README quickstart — the README is the best starting point.
Open-source hub of integrations, SDK and CLI for building and deploying GPT/LLM chatbots and agents.
Google's code-first TypeScript toolkit for building AI agents.
Test prompts, agents and RAGs — LLM evals, red teaming and model comparisons from the CLI
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Build voice-based LLM agents with a modular, open-source toolkit.
Loop Engineering — practical patterns, starters and a CLI for designing the loops that prompt and orchestrate AI coding agents, with a Loop Ready score
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если pi вам не подходит.
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Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к pi — продолжайте изучать полку по обе стороны от него.
The open-source library that lets AI agents control a real browser.
Multi-agent LLM framework that mirrors a trading firm: analysts, researchers, trader and risk team
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Give your coding agents a persistent memory that survives every session.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Q…
Give your AI agent eyes on the whole internet: Twitter, Reddit, YouTube, GitHub and more, one CLI
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.