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Compare/Hermes Agent vs QwenPaw

Hermes AgentvsQwenPaw

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Hermes Agent
Nous Research · Agent harness
OSSMCP
Panel
6.8
4 spec wins
Reliability
6.2
Usefulness
6.5
Cost
7.2
Longevity
7.2

“Reachable on Signal and by email, so you can now be left on read by an agent on six platforms.”

QwenPaw
AgentScope (Alibaba) · Agent harness
OSSMCP
Panel
6.8
1 spec wins
Reliability
6.3
Usefulness
6.7
Cost
7.3
Longevity
6.7

“The cloud quick start includes a reminder to set the Studio to non-public, so strangers cannot control your assistant.”

Spec by spec

SpecHermes AgentQwenPaw
Architecture
CategoryAgent harnessAgent harness
Runslocal, cloud, sandboxlocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverYesNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesNo
Git operationsNoNo
Browser controlYesYes
Sandboxed executionYesYes
Multi-agent orchestrationYesYes
Headless / CI modeYesNo
Models
BackboneNous Portal, OpenRouter, OpenAI, Anthropic, any OpenAI-compatible endpoint, Ollama, vLLM, llama.cppQwen, OpenAI, Anthropic, Gemini, DeepSeek, Kimi, OpenRouter, QwenPaw-Flash, Ollama, LM Studio
Bring your own modelYesYes
Local modelsYesYes
Cost
Pricing modelbyokbyok
Starts at$20/mo$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseMITApache-2.0
GitHub stars250,64335,413

Which one would each critic pick

CriticHermes AgentQwenPawPick
El Juez——not enough reviews
El Amigo7.07.3QwenPaw — Pick QwenPaw if you want a personal agent in DingTalk, Lark or iMessage that runs on its own small models without a key; pick NanoClaw if you would rather have Docker walls and Claude.
El Crítico6.36.0Hermes Agent — An agent that writes its own skills from experience ships behaviour nobody reviewed, and the first place it runs them is your own shell.
El Profesor6.86.5Hermes Agent — Cross-session recall is FTS5 search over past sessions plus model summarisation, execution spans seven backends from local shell to Modal, and no benchmark is published.
La Inversora6.86.8no preference
La Jefa5.36.0QwenPaw — Kernel-level sandboxing on all three desktop OSes is the strongest security page on this board, a multi-user Hub shipped today, SSO is absent, and init --defaults accepts telemetry silently.
El Hacker8.58.0Hermes Agent — MIT, ~/.hermes with hermes config set, any OpenAI-compatible endpoint, Ollama, vLLM and llama.cpp, and MCP servers configured from the docs page; I can run this air-gapped.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

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