Hermes Agent

Hermes Agent is a self-improving AI agent developed by Nous Research. It provides a CLI and terminal interface, messaging gateway, and desktop interface for interacting with language models, operating terminals and browsers, and maintaining continuity across sessions. It supports model providers including Nous Portal, OpenRouter, OpenAI, and custom endpoints, along with terminal backends including local execution, Docker, SSH, Singularity, Modal, Daytona, and Vercel Sandbox. Its learning loop creates and improves skills from task experience, stores persistent memories, searches previous sessions with FTS5 and LLM summarization, and builds user profiles through Honcho. It can delegate parallel work to isolated subagents, run Python tool-calling scripts through RPC, schedule unattended jobs with a natural-language cron scheduler, and deliver results through Telegram, Discord, Slack, WhatsApp, Signal, email, and the CLI. The terminal interface includes multiline editing, slash-command completion, conversation history, interrupt-and-redirect controls, and streaming tool output. It also supports voice-memo transcription and cross-platform conversation continuity.

Hermes3D is an open-source, self-hosted visualization and interaction layer for AI agents. It presents connected agents as workers in a live retro 3D office, with surfaces for standups, pull-request reviews, task execution, monitoring, and agent chat; it also provides a 2D pixel-office view for lower-power machines and an office builder for editing layouts. The frontend connects to agent runtimes through a bundled Hermes WebSocket gateway adapter, a direct HTTP custom runtime provider, or a built-in demo gateway. Runtime state remains in the connected backend, while Studio stores local interface preferences. Hermes3D does not build or run the upstream agent runtimes; it supplies the office UI, Studio, and adapter/proxy layer using the Hermes3D gateway protocol. The repository describes it as an independent community project maintained by LukeTheDev and unaffiliated with the backend teams it connects to.

Agent S is an open-source computer-use agent framework from Simular. It accepts natural-language tasks, observes a real desktop through screen and accessibility signals, and operates ordinary applications by clicking, typing, scrolling, and executing optional local code rather than relying on per-application APIs or scripts. The project has progressed through three generations: accessibility-tree grounding with an LLM, a vision-based manager-worker architecture using multiple foundation models, and Agent S3, which scales computer-use attempts through parallel rollouts and selection. Its workflow can combine model-driven exploration with reusable automation code, replay saved skills, and recover when the interface changes. The framework supports macOS, Windows, and Linux, works with models from OpenAI, Anthropic, Gemini, OpenRouter, vLLM, and open-weight providers, and is distributed through the `gui-agents` Python package. An optional local coding environment can execute Python and Bash with the current user's permissions, so the repository warns that this capability should be used only in trusted environments.