ИИ-агенты
multica
Make humans and AI agents work as one team — open-source and self-hostable.
★ 51,9 тыс. звёздUnknown
Смотреть руководство →browser-agent — проект с открытым исходным кодом из категории «ИИ-агенты» от magnitudedev (magnitudedev/browser-agent на GitHub). У него 4 134 звезды на GitHub и 241 форк, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 8 февраля 2026.
Open-source, vision-first browser agent
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.
Designed to run unattended: triggers, schedules, and webhooks.
Written in TypeScript, which means fewer runtime surprises and easier contributions.
Approval gates for actions that matter.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Download the source and move into the project folder.
git clone https://github.com/magnitudedev/browser-agent.git
cd browser-agentEvery 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 magnitudedev/browser-agent with 241 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
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.
Make humans and AI agents work as one team — open-source and self-hostable.
An agentic skills framework & software development methodology that works.
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill,…
A fast, local-first open-source agent harness written in Rust, with desktop, browser and terminal apps
One portable, local-first memory layer for every AI agent - Markdown-native, user-owned and self-evolving.
ZCode — Z.ai's AI coding workspace: desktop app, browser interface and terminal agent in one open-source harness
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если browser-agent 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 browser-agent — продолжайте изучать полку по обе стороны от него.
Excel MCP Server: let AI agents read, write, format, and chart real .xlsx workbooks — no Excel required
Basic Memory: local-first MCP memory so you and your AI tools build a shared knowledge graph in Markdown
AdalFlow: The library to build & auto-optimize LLM applications.
Langroid: a principled Python framework for building LLM multi-agent applications (from CMU/UW researchers)
ArcBox: a fast macOS-native container and VM runtime — a drop-in Docker engine with agent sandboxes
Rakazo — an open-source, self-hosted AI agent for persistent teammates: bring your own model and computer, run it on web, desktop, iPhone and Android
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.