hope-agent

shiwenwen/hope-agent is ranked 2,510 among these 8 peers; feigeCode/navop is ranked 2,508.

Explore goals, tools, memory, knowledge, and design in one desktop workflow. Product presentation built with real Hope Agent components and fixed demo data. 1920×1080 screenshots of the running Web GUI. Projects, sidebar entries, and notes use demo content; deliverables come from actual runs. Dashboard metrics use illustrative sample data. It opens like mature desktop software while offering real agentic capability: understanding long-term context, using tools to complete work, and reliably pursuing goals even after you step away. **Hope

Agent did not begin after “desktop AI agents” became a popular category. ** We started building it when desktop agents were still uncommon and Codex itself was in an earlier form. We have always focused on the product itself, not on manufacturing attention. As more products have moved in the same direction, they have reinforced our original conviction: **AI assistants will move beyond the chat box and become personal software people can trust with long-running work. ** Contents Core Capabilities Capability

Overview Quick Start Install Locally Self-hosting (Docker) For developers Run Modes Ecosystem Project Structure Documentation Contributing Community Acknowledgements Star History License Core Capabilities 🖥️ A desktop agent that just works A native GUI, a broad set of provider templates and preset models, and one-click local model setup. 🧭 Completes work, not just replies Goal defines the outcome, Workflow dynamically organizes execution, and Loop decides when to continue. Complex work can progress in the background while remaining visible, pausable, resumable, and

adjustable. 🧠 Long-term memory and knowledge Cross-session memory, on-demand recall, offline consolidation, user profiles, and reusable skills compound over time. Knowledge Space lets you and the AI read and write real Markdown together as a traceable second brain. 🎨 From an idea to a deliverable design Design Space turns a prompt or reference image into 10+ artifact types, including websites, mobile prototypes, and presentations, with visual editing, version history, multi-format export, and handoff into a real codebase. 🛠️ Acts

in the real environment With permission and approval, Hope Agent can control the computer and browser, run commands, edit files, call MCP tools, connect to workspaces, and coordinate multiple agents. 🌐 Handoff across devices, always available Desktop / Server / Web / ACP share the same core. The same session, memory, and task state can continue across desktop, browser, and popular IM channels. 🛡️ Local-first, controlled, dependable Data stays local by default and model requests go directly to providers. Tool approvals, Docker sandboxing, configuration

rollback, crash recovery, and keepalive layers protect long-running operation. Capability Overview 🎨 Design & knowledge 🎨 Design Space Generate websites, mobile prototypes, presentations, dashboards, posters, documents, email, images, motion, audio, and interactive components from a prompt or reference image. Generation streams into a live preview; each project includes AI chat, element-level editing, annotations, undo / redo, device previews, version history, an artifact library, and HTML / PNG / PDF / PPTX / MP4 / ZIP export. 🧩 Design system to code Extract a brand system from screenshots, URLs

, Figma, or an existing repository, reuse it across artifacts, and export multi-platform design tokens or a code handoff package.