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repository TH060419/gatherthread;first catalogued 2026-10-10;last seen 2026-10-10。There is no official certification or quality rating here — we record sources and dates only.
GatherThread
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
**Work together. Bring your Agents. Keep going anywhere.**
GatherThread puts your team's discussion, AI-assisted work, and file review in one shared conversation. Collaborate live, use your own Agent, and continue from a computer, phone, or tablet. Less copying between chats. More progress everyone can follow.
Open GatherThread · Try the example · Illustrated guide · 简体中文
Open source · Self-hostable · Current version identifier **0.1.0-beta.2** · Apache 2.0
Public-registration Beta: verify your email and choose a password to create an account. Available cloud models and allowances are shown in the workspace. Project invitations join a team; they are not account registration codes. Release history · Developer test environment
Your team. Your devices. Your Agents.
**Work together in the same conversation.** Agree on a goal, ask your Agent to work, and let teammates follow the result. Quote a particular message or mention someone instead of explaining the same thing twice. Discussion and development stay together.
**Keep going beyond your desk.** The same account can be signed in on computers, phones, and tablets at once. On your phone, continue the discussion, review progress, or ask your connected computer Agent to keep working. Move to another computer by downloading the file version you saved.
**Choose the helper that fits.** Connect Codex or DeepSeek Harness, or use the cloud trial Agent for a small task without local setup. Choose from that Agent's supported models and options. Each teammate keeps their own setup while sharing discussion and results; cloud usage allowances are shown in the workspace.
A phone or tablet can request your computer Agent from another network. Keep that computer and its connector online, and use a GatherThread server the mobile device can reach. You do not install a local Agent on the phone.
One project, from discussion to delivery
These are full application screenshots with key controls annotated, from the disposable example. People, messages, and Agent replies are demonstration content.
1. Agree on what to make
Maya wants a club signup page. Alex confirms the time, place, and button behavior. Both see the same discussion. Sending **Chat** talks to people; it does not start an Agent.
2. Turn decisions into work
Choose or connect your Agent, then explicitly ask it to build. The example shows a work plan, actual index.html and src/signup.js files, and behavior checks. Open **Result** to try the button or inspect the files. If discussion is long, summarize selected requirements with your local or cloud Agent; undeleted originals remain available.
3. Check the changes before combining them
Each member uploads to their own branch. In the GT Cloud example, Maya submits a friendlier confirmation message for Alex to review. On GitHub, use the repository's pull-request review. Automatic upload does not mean automatic merge.
4. Continue on another device
Open the same conversation on your phone or tablet. Catch up, discuss the next step, or request your own online computer Agent without returning to your desk.
Follow the complete story, including the working signup page, in the illustrated product guide.
Project files: GitHub for real development
**Choose GitHub for ongoing development.** Each member authorizes their local connection and uploads to a personal branch. For this local sync path, files go directly from the computer to GitHub and do not count against GatherThread cloud file quotas. Automatic upload waits for Agent work to stop and files to settle; manual upload, download, and recovery are also available. Review and integrate through GitHub.
**Choose GT Cloud for a lightweight trial.** Try a small project with GatherThread's file service: 128 MiB of current file versions per user, without first setting up GitHub. Inspect member versions, submit changes for review, let the project owner integrate them, and recover uploaded files.