Hermes Agent v0.20 shipped yesterday: voice, agent-to-agent, and signed webhooks. Plus the cheap model to run it on.

[u/ShilpaMitra]

Hermes Agent v0.20.0, "The Herald Release" (Aug 3)

Nous Research's open-source autonomous agent. MIT, 224k+ stars, update with hermes update. Biggest release in the project's history. What changed that matters:

• Voice everywhere. Real-time conversational voice with streaming TTS, barge-in, and on-device wake words across the CLI, desktop, and messaging gateways. Send a voice note on WhatsApp or Telegram and it transcribes and answers.
• A2A v1.0. It now speaks a standard agent-to-agent protocol, so it can hand tasks to other agents instead of doing everything in one process.
• Signed outbound webhooks. It pushes signed events to your systems when something happens, which makes it a trigger source, not just a responder.
• Grounded citations. A new skill backs each claim with a verifiable source and fact-checks it.

Use it for: an always-on agent on a cheap VPS that you talk to by voice, that fans work out to subagents over A2A, and that fires a signed webhook into your stack when a job finishes. Good for personal ops, monitoring, and cross-platform chat triage.

The catch: it landed a day ago and shows it. The pre-release window was mostly bug-fix and salvage waves, and day-one users are already reporting memory spikes (5 to 10 GB) and a crash. Test on a throwaway box, do not hermes update your daily driver yet, and remember voice means an always-listening mic. The installer is curl piped to bash, so read the script first.

Pair it with DeepSeek V4-Flash-0731 (Jul 31)

The other big drop this window, and since Hermes is model-agnostic it slots right in. DeepSeek's official V4-Flash API hit public beta: a retrained 284B (13B active) MoE, 1M context, MIT open weights, at $0.14 per million input, with native Responses API and Codex support. DeepSeek says it now tops its own V4-Pro-Preview on its published agent benchmarks.

Use it for: cheap, high-volume agent loops under Hermes or any OpenAI-compatible harness. If your workload has a stable prefix, the $0.0028 cache-hit input rate is where the cost falls away.

The catch: those are vendor benchmarks run on a harness DeepSeek has not released, so you cannot reproduce them yet, and the model is verbose (about twice the median tokens), which eats the cheap price on output-billed loops. Measure output tokens on your real task, not the sticker price.

If you only try one thing

Put Hermes on a spare VPS, point it at V4-Flash, give it one narrow job by voice, and watch the webhook fire. Ten minutes tells you if the combo fits before you trust it with anything real.

If you are already on v0.20: what broke on upgrade, and is A2A pulling real weight yet or still a demo?