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NousResearchOrchestrate advanced AI agents within a workflow platform
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This project provides a Paperclip adapter for the Hermes Agent, enabling users to integrate Hermes as a managed AI employee within the Paperclip orchestration platform. It allows users to leverage Hermes's extensive capabilities, including its vast toolset and persistent memory, for automated task execution and workflow management.
How It Works
The adapter integrates Hermes Agent into the Paperclip orchestration platform by executing Hermes's command-line interface in a single-query mode (-q). Upon receiving a task from Paperclip, the adapter spawns a Hermes process. Hermes leverages its extensive tool suite (30+ tools), skills, and persistent memory to process the task. Upon completion, Hermes exits, and the adapter captures its output, parses metrics like token usage, and reports results back to Paperclip. Session persistence is maintained across task heartbeats using Hermes's --resume flag, preserving conversation context and tool state.
Quick Start & Requirements
npm install @nousresearch/paperclip-adapter-hermespip install hermes-agent), Python 3.10+, at least one LLM API key (Anthropic, OpenRouter, or OpenAI).Highlighted Details
--resume flag.Maintenance & Community
No specific community channels for the adapter are listed. Links to parent projects: Hermes Agent, Paperclip.
Licensing & Compatibility
MIT License. Compatible with the Paperclip orchestration platform.
Limitations & Caveats
Requires separate installation and configuration of both Hermes Agent and the Paperclip platform. Adapter setup involves direct modification of Paperclip server code. Performance benchmarks or detailed resource footprint estimates are not provided in the README.
1 week ago
Inactive