WilliamBryk / Paperclip-Adapter
PublicA Paperclip adapter that lets you run Hermes Agent as a managed employee in a Paperclip company.
This repository is a connector (adapter) that integrates Hermes Agent - a full-featured AI assistant with 30+ built-in tools, persistent memory, and 80+ skills - into Paperclip, an AI agent management platform. The adapter allows Hermes to run as a managed employee in a Paperclip company, handling tasks assigned through issues, maintaining session continuity across work sessions, and reporting results back to the platform. It supports multiple AI providers (Anthropic, OpenRouter, OpenAI, Nous, and others), parses Hermes's output into readable format for the dashboard, and provides features like filesystem checkpoints for safety, thinking effort control, and a unified skills system that merges both Paperclip-managed and Hermes-native capabilities.
How It Works
You discover Paperclip, a platform where you can hire AI agents to work on your projects just like real team members.
You install the Hermes Adapter, which brings in Hermes Agent - an AI assistant with 30+ built-in tools, persistent memory, and the ability to remember your projects across sessions.
In Paperclip's dashboard, you create issues or tasks and assign them to your Hermes agent, just like assigning work to a human teammate.
On each heartbeat, Hermes wakes up, reads its assigned task, and gets to work using its full toolkit - writing code, running commands, searching the web, and more.
When you assign a specific issue, Hermes focuses on that task, completes it, and marks it done while posting a summary comment.
When woken without a specific task, Hermes checks for unassigned issues in your backlog and can grab one to work on.
Hermes saves its session state, so it remembers context, learned information, and progress - picking up right where it left off on the next heartbeat.
You have an AI employee that works continuously, remembers your project, uses powerful tools, and reports back with results - freeing you to focus on bigger decisions.
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