Fastino guide outlines Nous Research's Hermes Agent
A Fastino guide describes Hermes Agent, Nous Research's open-source agent that keeps memory across sessions and writes its own skills, as a leading example of persistent, general-purpose agents.
Hermes Agent is an MIT-licensed autonomous agent from Nous Research, the lab behind the Hermes model family. A guide published by Fastino calls it the most prominent open-source agent built to run continuously and learn over time. According to the guide, the project's GitHub repo has passed 210,000 stars.
The guide says Hermes's main feature is a built-in "learning loop." The agent creates skills from tasks you repeat and refines them as it uses them. It also keeps a bounded memory of user preferences and its environment. Past sessions are stored in a local database with full-text search so the agent can recall them later. Skills are SKILL.md files that follow the agentskills.io standard, and each installed skill becomes a slash command.
Other details from the guide:
- Models: works with more than 30 providers plus any OpenAI-compatible endpoint, and needs at least 64,000 tokens of context.
- Messaging: one gateway connects the agent to more than 20 platforms, including Telegram, Slack, Discord, WhatsApp, Signal and Microsoft Teams.
- Where it runs: six terminal backends (local, Docker, SSH, Daytona, Singularity and Modal). The Daytona and Modal options hibernate when idle.
- Tools: more than 60 built-in tools, scheduled cron jobs, subagents, MCP support and editor integration through ACP.
The guide says this generality comes at a cost when Hermes is compared with dedicated coding tools such as Claude Code, OpenCode and Devin.
Fastino is not a neutral source. The guide promotes running inference through Fastino's own Pioneer endpoint. The excerpt includes no independent benchmarks or performance data.