ИИ-агенты
ruby_llm
The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.
★ 4,4 тыс. звёздMIT
Смотреть руководство →system-prompts-and-models-of-ai-tools — проект с открытым исходным кодом из категории «ИИ-агенты» от x1xhlol (x1xhlol/system-prompts-and-models-of-ai-tools на GitHub). У него 144 010 звёзд на GitHub и 34 799 форков, он распространяется по лицензии GPL-3.0 и последний раз обновлялся на GitHub 11 августа 2026.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Q…
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Download the source and move into the project folder.
git clone https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
cd system-prompts-and-models-of-ai-toolsEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at x1xhlol/system-prompts-and-models-of-ai-tools with 34,799 forks. Check the repo's contributors and recent commits to see how active maintenance is.
GPL-3.0 — free to use, but derivative works must stay open.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Sandboxing, approval gates, and least-privilege credentials.
Builders exist, but code-first frameworks go further.
The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
The open-source AI voice studio. Clone, dictate, create.
Native control plane for Claude Code, Codex, Cursor, Devin, and other coding agents.
Program language models with code and compilers — not fragile prompts.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если system-prompts-and-models-of-ai-tools 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 system-prompts-and-models-of-ai-tools — продолжайте изучать полку по обе стороны от него.
The agent engineering platform
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Skills and plugins that teach coding agents to write less, better code.
The open-source library that lets AI agents control a real browser.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete…
A TypeScript toolkit for building agents: unified LLM API, loop, TUI, and CLI.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.