ИИ-агенты
Langchain
The agent engineering platform
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Смотреть руководство →Haystack — проект с открытым исходным кодом из категории «ИИ-агенты» от deepset-ai (deepset-ai/haystack на GitHub). У него 26 646 звёзд на GitHub и 3 227 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 2 октября 2026.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and…
Application frameworks, agent runtimes, or voice stacks — choose by whether you are building apps, automations, or realtime voice.
Python or TypeScript packages install with one command; most include quickstart templates.
Give the agent functions it can call and a memory layer so it stays coherent across sessions.
Launch the agent, watch its tool calls and reasoning traces, and iterate on prompts and tools.
Agents act on the world: APIs, databases, browsers, and shell commands.
Crews and graphs of specialized agents collaborating on complex tasks.
Short and long-term memory so agents improve across sessions.
Traces of every decision and tool call — essential for debugging.
Low-latency stacks for conversational voice agents.
Swap underlying LLMs without rewriting your agent logic.
Download the source and move into the project folder.
git clone https://github.com/deepset-ai/haystack.git
cd haystackIsolate dependencies so nothing clashes with your other projects.
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activateInstall the requirements, then follow the README's launch command (it varies per project).
pip install -r requirements.txtFrameworks build your own; some repos here ship ready-made agents you can run directly.
Tool-calling quality matters more than raw size — strong mid-size models work well.
It is an open-source project at deepset-ai/haystack with 3,227 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Sandbox tool access, confirm destructive actions, and review traces — treat agents like junior employees with supervision.
Self-hosted frameworks are free; you pay only for model inference (local or API).
A quickstart template in the framework's docs — most get a first agent running in minutes.
The agent engineering platform
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work…
A programming framework for agentic AI
Langroid: a principled Python framework for building LLM multi-agent applications (from CMU/UW researchers)
A harness-oriented framework for production-grade agent applications.
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and mul…
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если Haystack вам не подходит.
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DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к Haystack — продолжайте изучать полку по обе стороны от него.
A fully local Manus-style autonomous agent: browses, codes and speaks — no APIs, no subscription
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Test prompts, agents and RAGs — LLM evals, red teaming and model comparisons from the CLI
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.