Hermes agent maker Nous Research in talks for new funding at $1.5B valuation

Hermes agent maker Nous Research in talks for new funding at $1.5B valuation

Nous Research, the team behind the open-source Hermes AI agent, is closing a funding round led by Robot Ventures with major participation from USV and other investors at a $1.5 billion valuation, according to three people familiar with the deal. The startup is raising at least $75 million after attracting heavy investor interest, signaling that the market for locally executable, skill-based AI agents is moving from curiosity to capital allocation.

Founded in 2023 by Jeffrey Quesnelle, Karan Malhotra, Ryan Teknium, and Shivani Mitra, Nous Research had previously raised $70 million from backers including Paradigm, Robot Ventures, North Island Ventures, OSS Capital, and Balaji Srinivasan. The new capital is earmarked for expanding Hermes’ product line and refining a business model that blends open-source distribution with a tiered cloud-hosted offering priced between $20 and $200 per month.

The Agent Landscape

Hermes arrived weeks after OpenClaw’s agent went viral, positioning itself as a direct competitor with a distinct architectural philosophy. Both agents run locally on a user’s machine and can be controlled via Telegram or Discord, enabling round-the-clock remote operation. Where OpenClaw emphasizes a lightweight, plug-and-play loop, Hermes ships with built-in skills — web search, code execution, image understanding — and an automated learning layer that generates new skills from observed usage without manual intervention. The startup has also released specialized language models tuned for coding and mathematics, reinforcing a developer-first narrative.

GitHub metrics underscore adoption: roughly 214,000 stars and 40,000 forks. Those numbers are not vanity metrics; they reflect a developer base that can self-host on desktops or virtual private servers, a critical differentiator for enterprises wary of data egress and compliance constraints. The cloud tier exists for teams that prefer operational simplicity over infrastructure control, a classic open-core monetization play that has worked for companies from GitLab to HashiCorp.

Why CRM and RevOps Should Care

For CRM and revenue operations leaders, the rise of locally executable agents represents a shift in how automation is architected. Traditional RPA and iPaaS layers sit atop SaaS stacks, requiring connectors, APIs, and ongoing maintenance. Agents like Hermes and OpenClaw invert that model: they operate at the OS level, driving browsers, terminals, and desktop applications directly. That means a sales operations team could script a workflow that pulls leads from a website, enriches them via a local LLM, pushes updates into Salesforce via the UI, and logs the whole sequence in a local audit trail — all without a single API call.

The implications for data governance are profound. Because the agent runs on-premises or in a customer-controlled VPC, sensitive CRM data never traverses a third-party inference endpoint. That aligns with zero-trust frameworks and may accelerate adoption in regulated verticals where cloud-based AI copilots have stalled in procurement.

Valuation Context

A $1.5 billion valuation for a pre-revenue, open-source agent framework is aggressive but not unprecedented in the current AI infrastructure cycle. Investors are pricing optionality: if Hermes becomes the default runtime for desktop automation, the cloud tier becomes a recurring revenue engine with near-zero marginal cost. The risk is fragmentation — OpenClaw, AutoGPT, and a half-dozen open-source forks are chasing the same developer mindshare. Nous Research’s edge lies in the automated skill synthesis loop; if that compounding effect materializes, the moat widens with each user interaction.

Strategic Outlook

The funding will likely accelerate three vectors: first, hardening the cloud control plane for multi-tenant enterprise deployments; second, expanding the skill marketplace so third-party developers can publish and monetize capabilities; third, building integrations with major CRM platforms — not via APIs, but via UI-driven agents that navigate Salesforce, HubSpot, and Dynamics the way a human does. That last point is the sleeper. If Hermes can reliably navigate a CRM’s messy, custom-heavy UI, it unlocks automation for the 80% of sales processes that live outside clean API surfaces.

Nous Research declined to comment. USV and Robot Ventures did not respond to requests for comment.