Update README.md: Add DeepWiki Docs badge and enhance security description for sandboxing feature

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teknium1
2026-02-27 03:27:15 -08:00
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<a href="https://discord.gg/NousResearch"><img src="https://img.shields.io/badge/Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Discord"></a>
<a href="https://github.com/NousResearch/hermes-agent/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-green?style=for-the-badge" alt="License: MIT"></a>
<a href="https://nousresearch.com"><img src="https://img.shields.io/badge/Built%20by-Nous%20Research-blueviolet?style=for-the-badge" alt="Built by Nous Research"></a>
<a href="https://deepwiki.com/NousResearch/hermes-agent"><img src="https://img.shields.io/badge/DeepWiki-Docs-blue?style=for-the-badge&logo=readthedocs&logoColor=white" alt="DeepWiki Docs"></a>
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**The fully open-source AI agent that grows with you.** Install it on a machine, give it your messaging accounts, and it becomes a persistent personal agent — learning your projects, building its own skills, running tasks on a schedule, and reaching you wherever you are. An autonomous agent that lives on your server, remembers what it learns, and gets more capable the longer it runs.
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<tr><td><b>Grows the longer it runs</b></td><td>Persistent memory across sessions — the agent remembers your preferences, your projects, your environment. When it solves a hard problem, it writes a skill document for next time. Skills are searchable, shareable, and compatible with the <a href="https://agentskills.io">agentskills.io</a> open standard. A Skills Hub lets you install community skills or publish your own.</td></tr>
<tr><td><b>Scheduled automations</b></td><td>Built-in cron scheduler with delivery to any platform. Set up a daily AI funding report delivered to Telegram, a nightly backup verification on Discord, a weekly dependency audit that opens PRs, or a morning news briefing — all in natural language. The gateway runs them unattended.</td></tr>
<tr><td><b>Delegates and parallelizes</b></td><td>Spawn isolated subagents for parallel workstreams — each gets its own conversation and terminal. The agent can also write Python scripts that call its own tools via RPC, collapsing multi-step pipelines into a single turn with zero intermediate context cost.</td></tr>
<tr><td><b>Real sandboxing</b></td><td>Five terminal backends — local, Docker, SSH, Singularity, and Modal — with persistent workspaces, background process management, with the option to make these machines ephemeral. Run it against a remote machine so it can't modify its own code.</td></tr>
<tr><td><b>Real sandboxing</b></td><td>Five terminal backends — local, Docker, SSH, Singularity, and Modal — with persistent workspaces, background process management, with the option to make these machines ephemeral. Run it against a remote machine so it can't modify its own code or read private API keys for added security.</td></tr>
<tr><td><b>Research-ready</b></td><td>Batch runner for generating thousands of tool-calling trajectories in parallel. Atropos RL environments for training models with reinforcement learning on agentic tasks. Trajectory compression for fitting training data into token budgets.</td></tr>
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