DietrichGebert/ponytail
Ponytail is a set of plugins for AI agent development tools like Claude Code and GitHub Copilot CLI that helps agents write more efficient, concise, and safe code by following a 'lazy senior dev' m...
Awesome Hermes Plugins › Tools & Automation
sergiocoding96/hermes-multi-agent
This project, 'sergiocoding96/hermes-multi-agent', outlines a sophisticated multi-agent research and execution architecture built upon Paperclip, Nous Research Hermes Agent, and MemOS. It focuses on creating a self-improving system through autoresearch-style feedback loops, where agent skills evolve based on execution history and performance metrics. The architecture involves a CEO agent (Claude Opus 4.6 via Paperclip) orchestrating specialized Hermes agents (e.g., research, email marketing), each with isolated profiles and memory. A key feature is the implementation of both soft feedback loops (user feedback leading to skill patches) and hard feedback loops (Karpathy-style metric thresholds triggering auto-patching and re-runs). The project emphasizes a "glue layer" approach, orchestrating various external services rather than vendoring them. The README details the setup for a fresh machine, including installing a patched MemOS, the Hermes Agent CLI, and deploying the multi-agent system. It also outlines the external services integrated, such as Firecrawl for search/scraping, SearXNG for meta-search, and Camofox for anti-bot browsing, all configured to track upstream `main` branches for currency. The memory layer combines Hermes's built-in memory with a holographic SQLite database and MemOS, which uses Qdrant, Neo4j, and SQLite for cross-agent shared knowledge. The system supports various interfaces, including CLI, Telegram, a Web UI (Open WebUI), and a Python library. This project provides a comprehensive framework for developing and deploying advanced, self-optimizing multi-agent systems using Hermes.
https://github.com/sergiocoding96/hermes-multi-agent
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