AI tool comparison
Hermes Agent vs Jet AI Agents
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
AI Agents
Hermes Agent
Self-improving AI agent that learns new skills and runs on 200+ models
75%
Panel ship
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Community
Free
Entry
Hermes Agent is an open-source autonomous agent from Nous Research that actually gets better the more you use it. After completing complex tasks, it writes new skills to its own library — essentially bootstrapping its own capabilities over time. It's model-agnostic (200+ models via OpenRouter), self-hosts cleanly on a $5 VPS, and spans 6 terminal backends including SSH, Docker, and serverless Modal. The multi-platform messaging integration is genuinely useful: Telegram, Discord, Slack, WhatsApp, Signal, and email all pipe through a single gateway, so your agent can respond across every channel without separate bots. Persistent FTS5 memory means it remembers context across sessions. With 26k stars and 271 contributors already, this is moving fast. The one-line curl install and automatic project scaffolding make the onboarding friction unusually low for a project of this ambition.
AI Agents
Jet AI Agents
Build business AI agents with 200+ integrations in minutes, no code
75%
Panel ship
—
Community
Free
Entry
Jet AI Agents is a no-code platform for building and deploying business AI agents across marketing, sales, operations, and support workflows. Teams connect it to their data sources, drag-and-drop UI components into place, and deploy agents that take action rather than just display dashboards. It integrates with 200+ tools including Slack, WhatsApp, Telegram, and popular CRMs. Backed by Y Combinator and built by founders Anton Svetlov and Denis Kildishev, Jet supports both Claude (Anthropic) and OpenAI models as its inference layer, giving teams flexibility on which LLM powers their agents. The platform maintains a 4.43-star rating on Product Hunt with users praising its low learning curve and ability to handle complex external data source integrations without engineering help. Jet AI Agents debuted at #2 on Product Hunt's daily leaderboard on April 27, 2026. For non-technical business teams that want to automate multi-step workflows across SaaS tools — without filing tickets to engineering — Jet offers a polished on-ramp with a free tier to start. The YC backing suggests runway for the enterprise integrations that will make or break the platform.
Reviewer scorecard
“Model-agnostic + multi-platform messaging + self-hosted for $5/month is the trifecta I've wanted from an agent framework. The skill-creation loop is genuinely novel — most agent frameworks require you to hardcode tools, but Hermes writes them from experience. The curl installer working out of the box sealed it for me.”
“YC pedigree and 200+ integrations is a solid combination. The dual Claude/OpenAI model support means you're not locked in, and the API-first architecture makes it extensible beyond the visual builder. Worth a pilot for ops teams tired of Zapier's limitations.”
“An agent that writes its own skills is also an agent that can write broken or insecure skills, and Nous Research's security track record is thin. 271 contributors on a project with autonomous code execution is a supply-chain red flag. I'd audit extensively before giving this access to anything sensitive.”
“The no-code agent builder space is brutally competitive — n8n, Make, Relay, and a dozen YC graduates are fighting for the same seat. 'Build in minutes' claims rarely survive contact with enterprise data schemas. Test your actual use case before committing.”
“This is the closest thing to a general-purpose agent OS that exists in open source right now. The self-improving skill loop is a primitive form of recursive self-improvement — not AGI, but the architecture patterns being proven here will matter enormously in 2-3 years.”
“Business teams that can build and own their own agents without engineering dependencies is a structural shift in how companies will operate. Jet is betting on the right abstraction layer capturing this market — YC's validation makes the bet credible.”
“Having one agent respond across every messaging platform with persistent memory means I can actually run creative workflows — briefing docs, newsletter drafts, social scheduling — without babysitting separate bots per channel. The cron scheduling for recurring automations is the cherry on top.”
“As someone who runs content workflows across Slack, Notion, and Google Workspace, having an agent that takes action across all three without code is genuinely useful. The visual builder is clean and the free tier gives enough to prototype a real workflow.”
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