CLI tools, linters, migration helpers, token trackers, and other utilities that make developing with Hermes easier.
A local pre-indexed code knowledge graph that optimizes agent efficiency by reducing tool calls by 62% and costs by 25%. It integrates via MCP server configuration to provide a high-performance, Node.js-free indexing solution for Hermes Agent.
A Rust-based CLI tool featuring a 3D visualization dashboard for monitoring token consumption and costs. It provides a centralized way to track usage across Hermes and other AI coding agents like Gemini and Cursor.
A local trace viewer designed for debugging agent behavior by inspecting system prompts, tool calls, and streaming responses. It allows developers to compare adjacent requests via structured diffs and export sessions as portable HTML files.
An opinionated workflow layer that orchestrates the entire application lifecycle from requirements to production. It equips Hermes Agent with 6 specialized roles and 23 autonomous skills, including automated security scanning and issue triage.
A customization toolkit for the Hermes terminal UI that allows users to modify ASCII banners and spinner animations. Themes are managed via YAML files, supporting both full overrides and partial inheritance from the default skin.
A native port of the Hermes Agent brain and 46 core skills to the Claude Code Channel. This integration eliminates the need for OAuth or external processes while adding MLOps tools for RL training and vLLM inference.
An AI-native browser that exposes page visibility and control to autonomous agents through MCP endpoints. It enables human supervision of agent actions with support for session checkpoints and action rollbacks.
A TAW Agent framework that enables the creation of scoped Hermes Agents with per-folder configurations. It allows users to seamlessly switch between default and project-local agents with dedicated memories and custom instructions.
A preconfigured setup utilizing RTK and Caveman templating to achieve 90-99% token savings. It includes over 40 specialized skills for research, finance, and devops with automated installation for Linux and macOS.
A rapid deployment stack that uses Docker to launch Hermes Agent with LiteLLM, Ollama, and Qdrant. It provides a zero-cost environment featuring 29 community plugins for quality validation, memory, and local GPU inference.
A static linter that uses deterministic structural analysis to score agent configs and system prompts via HERM v1.1. It operates offline without LLM calls, making it ideal for cost-effective CI integration across YAML, JSON, and .prompt files.
A dedicated migration utility that transfers personas, memories, and workspace files from OpenClaw to Hermes Agent. It maps complex model configurations to Hermes YAML format and handles the transfer of system-level credentials.