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 performance by providing symbol relationships and call graphs. It reduces token consumption and tool calls through an auto-syncing index that updates on every file change.
A high-performance Rust TUI designed to track and visualize token consumption across various AI coding agents. It provides a centralized dashboard for monitoring costs and usage for Hermes and other popular CLIs.
A local trace viewer for inspecting API traffic, allowing developers to analyze system prompts and tool schemas. It features structured diffs for debugging behavior and exports sessions as portable HTML files.
An opinionated workflow layer that implements an autonomous CTO loop for issue triage, implementation, and QA. It includes 23 curated skills and native integrations with platforms like Vercel, Supabase, and GitHub.
A collection of community-driven CLI themes and skins to customize the Hermes terminal UI. Users can apply diverse aesthetics, from cyberpunk to retro DOS, using a system of inheritance from the default skin.
A port of the Hermes Agent brain and 46 core skills directly into the Claude Code Channel. This integration eliminates the need for OAuth or external processes and adds MLOps tools for vLLM and RL training.
An AI-native browser that enables autonomous agent control via the Model Context Protocol (MCP). It balances automation with human-in-the-loop supervision through runtime approvals and durable state management.
A TAW Agent framework that allows for the creation of scoped Hermes Agents with per-folder configurations. It enables seamless switching between default and project-local memories, tools, and instructions.
A preconfigured setup utilizing RTK and Caveman templating to achieve 90-99% token savings. It provides 40+ specialized skills for finance and devops with automated cross-platform installation.
A rapid deployment stack that launches Hermes Agent using LiteLLM, Ollama, and Qdrant via Docker. It offers a zero-cost configuration featuring 29 community plugins for memory and quality validation.
A deterministic static linter that scans agent configurations and system prompts without requiring LLM calls. It uses seven structural detectors to identify failure modes and integrates into CI/CD pipelines via HERM v1.1 scoring.
A migration utility designed to transition users from OpenClaw to Hermes Agent. It maps model configurations to Hermes YAML format and transfers personas, memories, and credentials automatically.