General agentProductivity and office

hope-agent

Run persistent AI tasks across desktop, browser, and messaging channels.

Stars: 1,182
Forks: 102
Updated: Updated Jul 14, 2026

General agentProductivity and office

hope-agent

Run persistent AI tasks across desktop, browser, and messaging channels.

Stars: 1,182
Forks: 102
Updated: Updated Jul 14, 2026

General agentProductivity and officeModel Context Protocol

aiden

@taracodlabsTypeScript

Run a local Windows agent that operates browsers, terminals, and workflows.

Stars: 520
Forks: 97
License: AGPL-3.0

General agentProductivity and officeModel Context Protocol

Abu-Cowork

@PM-ShawnTypeScript

Plan and execute local desktop tasks across files, commands, browsers, and documents.

Project overview

Abu Cowork is a local-first desktop AI agent that can plan multi-step work, read and write files, run commands, control a real browser, and create documents or web pages from natural-language requests. Risky actions such as deletion, overwriting, sending, or installation can be placed behind a reviewable plan and explicit approval. Each conversation can use its own model and permission mode. The app also supports installable skills, MCP connectors, schedules, and team messaging channels for broader automation.

Stars: 194
Forks: 53
License: Not declared

Agent harnessProductivity and office

lobehub

@lobehubTypeScript

Build, schedule, and monitor an AI team composed of multiple collaborating agents.

Project overview

LobeHub treats agents as the units of work, allowing users to describe a role, create an agent, connect models, skills, and MCP-compatible plugins, and organize ongoing collaboration. It is designed for people who want one place to operate and review a persistent AI team rather than hand off tasks between isolated chats. The project remains under active development, and self-hosting requires a model API key.

Stars: 79,840
Forks: 15,593
License: Not declared

Web appProductivity and office

magic

@dtyqTypeScript

Manage organizational knowledge, AI agents, and workflows in one controlled collaboration platform.

Project overview

Magic is an AI collaboration platform for solo operators, small teams, and enterprises, bringing personal assistants, specialist agents, internal systems, and shared projects into one workspace. It can turn agent output into reports, dashboards, presentations, or spreadsheets while adding per-department, per-user, or per-agent budgets, approval gates for risky actions, and sandbox isolation. Users can choose the hosted service or self-host with Docker on macOS or Linux; Windows self-hosting is still planned.

Stars: 4,924
Forks: 539
License: Not declared

hope-agent

hope-agent

Project overview

Repository facts

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aiden

Abu-Cowork

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