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Hermes Agent vs WorkBuddy

You can message either of these agents from your phone and have it do work on a computer, but they're aimed at different people. Hermes Agent is free, MIT-licensed software from Nous Research that you install, point at whatever model you like, and run on your own machine or server. WorkBuddy is Tencent's closed-source desktop app for office work (reports, decks, spreadsheets) on Mac and Windows, sold on credits. Developers who want control usually lean Hermes; people who want finished documents without configuring models lean WorkBuddy.

Setup and who controls the model

Hermes installs with one shell script on Linux, macOS or WSL2, or PowerShell on native Windows. You bring the model: Nous Portal, OpenRouter, OpenAI or any compatible endpoint, including a local one. You also choose where its commands run (local, Docker, SSH, Daytona, Singularity, Modal or Vercel Sandbox), so it can live on a home server and keep working while your laptop is shut.

WorkBuddy is a download for macOS (Apple Silicon and Intel) or Windows (x64 and ARM64). Tencent picks the models; on the free plan selection is automatic. Its FAQ says it needs an internet connection to reach the model services, and remote tasks only work while the app is running on your computer.

Chat apps they answer on

Hermes runs one gateway for Telegram, Discord, Slack, WhatsApp, Signal and email. WorkBuddy's integration guides cover Slack, Telegram, Discord, WeChat Work, Feishu, DingTalk and QQ. If your team works in WeChat Work or Feishu, WorkBuddy is the one with a documented path; for WhatsApp or Signal, it's Hermes.

Memory, and what it costs

Hermes saves memories, searches past sessions and writes skills after hard tasks, then refines them as it reuses them. WorkBuddy's Pro plan lists a personalized memory feature alongside its skills and connectors, but as a closed product you see less of how they work.

Hermes costs nothing; you pay your model provider. WorkBuddy is free for 100 credits a month, Pro is $10 a month ($96 a year) for 2,000 credits, and Team is $40 per seat. Hermes' docs ask for a large model with a long context, so budget for a capable model rather than a tiny local one.

Hermes Agent: Pick Hermes Agent if you want an open-source agent you host yourself, with your choice of model and a server it can run on around the clock.

WorkBuddy: Pick WorkBuddy if you want office documents built from your files on a Mac or Windows PC, with no model setup and access from WeChat Work or Feishu.

Facts checked Oct 18, 2026 against 8 sources

Which one should you try?

Hermes Agent

Free

Best for People who want an assistant that remembers context across sessions

WorkBuddy

Freemium

Best for Office professionals handling repetitive multi-step document and data workflows

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Hermes Agent

Hermes Agent

Hermes Agent from Nous Research keeps memory across sessions, saves reusable skills and can be reached through messaging apps. We ran it on three tasks with a local 3B model and with Claude Opus 5.5.

WorkBuddy

WorkBuddy

WorkBuddy runs as a local-first agent on the desktop, autonomously chaining file access, web search, and document generation into single-prompt workflows. The Tencent ecosystem fit is real: WeCom and WeChat integrations mean scheduling and messaging tasks route without extra setup, which matters if your organization already lives there. Outside that ecosystem, the integration surface narrows fast. Teams running mixed SaaS stacks report reaching for MCP-compatible connectors to fill the gaps — which adds configuration overhead the tool is supposed to eliminate. Self-hosted execution is the headline privacy story, but the closed-source codebase means you audit what the vendor discloses, not the code itself.

AttributeHermes AgentWorkBuddy
PricingFreeFreemium
PriceFree (MIT, self-hosted)Free (100 credits/mo); Pro $10/mo or $96/yr; Team $40/seat/mo
Pricing checkedJul 1, 2026Oct 19, 2026
Free trialNot statedNot stated
Open sourceYesNo
Has APIYesYes
Self-hosted optionYesNo
PlatformsmacOS, Linux, Windows (native or WSL2), Android (Termux); runs commands locally or in Docker, SSH, Singularity, Modal, Daytona, Vercel SandboxmacOS (Apple Silicon and Intel), Windows (x64, ARM64); remote tasks via Slack, Telegram, Discord, WeChat Work, Feishu, DingTalk, QQ
Released2026-022026-03-09
Pros
  • Memory and saved skills carry over between sessions.
  • Reach it from a CLI or messaging apps such as Telegram and Discord.
  • You choose where commands run, including Docker, SSH and hosted sandboxes.
  • Passed all 9 of our tasks with Claude Opus 5.5 and contacted only Anthropic's API while doing it.
  • Local-first task execution keeps data on the user's machine, so workflows handling sensitive documents avoid the exposure risk that comes with cloud-routed agents.
  • Single-prompt initiation for multi-step workflows — web search, spreadsheet processing, and document generation chained together — so the work that normally requires three open tabs and manual copy-paste completes in one request.
  • Native WeCom and WeChat integration means scheduling, messaging, and file tasks inside the Tencent ecosystem require no connector setup, which removes the glue-code burden for teams already on those platforms.
  • API availability lets engineering teams embed WorkBuddy's agent capabilities into existing internal tools, so the automation layer doesn't require users to switch contexts into a separate product.
  • Self-hosted deployment option gives infrastructure teams control over where the agent runs, so organizations with strict data residency requirements aren't forced into a shared-cloud model.
Cons
  • Passed 0 of 9 tasks with a 3B local model; it needs a large model and a 64K context.
  • Heavy on tokens: an ~11,500-token prompt on every call and about 47,100 tokens per task, six times Goose's.
  • It installs its Anthropic support from PyPI on first use, so offline setups fail until you pre-install it.
  • Workflows that cross outside the Tencent ecosystem — touching Slack, Google Workspace, Salesforce, or other common SaaS tools — require MCP connector configuration that adds setup overhead and maintenance surface the product's pitch implicitly promises to eliminate; teams with heterogeneous stacks hit this wall on the first real cross-tool workflow.
  • The closed-source codebase means security teams cannot verify what 'local execution' actually means at the code level; organizations whose compliance posture requires a source audit switch to an open-source agent framework instead.
  • Complex branching logic — workflows where step three depends on what step two returned, with different paths for different outcomes — is not documented as a supported capability; teams needing conditional task routing report building a separate orchestration layer, which defeats the no-code premise.

Made up your mind?

Hermes Agent

Free

Best for People who want an assistant that remembers context across sessions

WorkBuddy

Freemium

Best for Office professionals handling repetitive multi-step document and data workflows

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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