Ollama
Run LLMs on your own computer with a single command — no GPU required for smaller models
⭐
120k
AI & LLM Tools⭐⭐TypeScriptMIT
Paperclip
A desktop workspace for managing AI agents across real work tasks
Editor's Take
Paperclip is interesting because it treats AI agents as ongoing work items, not one-off chat prompts. That framing matters for teams: once AI is helping with research, code, documents, and operations, the hard part becomes tracking what each agent is doing and what still needs human review. The project is still young enough that teams should test it carefully before relying on it, but the traction is hard to ignore. For anyone exploring practical AI-agent workflows beyond chat, Paperclip is worth watching now.
Best for users who are comfortable following setup instructions or running a self-hosted tool.
Start Here
Why It Stands Out
- 1Organizes agent work in one local desktop app
- 2Built for workplace tasks rather than toy demos
- 3Fast-rising open source project with strong community interest
Best Use Cases
Coordinate AI agents at work
Use it when multiple agent runs, tasks, or handoffs start getting hard to track in browser tabs and chat windows
Create a shared AI operating desk
Give a technical team a clearer place to manage AI-assisted research, writing, coding, and follow-up work
Evaluate desktop-first agent workflows
Try a local app approach before committing to a hosted AI operations platform
Who Should Try It
teamsdevelopersoperators
Similar Projects
#ai#agents#desktop#workflow#collaboration