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Compare/Kodus vs PR-Agent

KodusvsPR-Agent

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

Kodus
Kodus · Code review agent
#155OSS
Panel
6.8
0 spec wins
Reliability
6.3
Usefulness
6.8
Cost
8.0
Longevity
6.0

“The command line lets you run the reviewer from inside another coding agent, so the robots can now peer review each other unsupervised.”

PR-Agent
PR-Agent community (formerly CodiumAI/Qodo) · Code review agent
#131OSS
Panel
6.6
1 spec wins
Reliability
6.5
Usefulness
6.7
Cost
8.5
Longevity
4.8

“The original open-source pull request reviewer, now gold-sponsored by the company selling the reviewer that replaced it.”

Spec by spec

SpecKodusPR-Agent
Architecture
CategoryCode review agentCode review agent
Runscloud, locallocal, cloud
Platformslinux, webmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientNoNo
MCP serverNoNo
Capabilities
Runs terminal commandsNoNo
Multi-file editsNoNo
Git operationsYesYes
Browser controlNoNo
Sandboxed executionNoNo
Multi-agent orchestrationNoNo
Headless / CI modeYesYes
Models
BackboneAnthropic, OpenAI, Google Gemini, Vertex AI, Novita, any OpenAI-compatible endpointany
Bring your own modelYesYes
Local modelsYesAny OpenAI-compatible endpoint is accepted, so a self-hosted model server can be pointed at, and self-hosted runners are supported. Yes
Cost
Pricing modelmixedbyok
Starts atn/an/a
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseAGPL-3.0 with an enterprise-edition commercial licenseMIT
GitHub stars1,43913,226

Which one would each critic pick

CriticKodusPR-AgentPick
El Juez——not enough reviews
El Amigo7.37.0Kodus — Pick Kodus if your team keeps repeating the same review comment; pick Greptile if you want the bot to understand the codebase rather than follow your instructions.
El Crítico6.36.0Kodus — Review standards are expressed in natural language and there is no documented way to test one, so a badly phrased rule fails silently on every pull request.
El Profesor6.56.8PR-Agent — The interesting engineering is compression: patches are fitted to the token budget adaptively, context is expanded dynamically, and the model is asked to rank its own suggestions.
La Inversora6.05.5Kodus — Open core with an enterprise edition carved out of the same tree, and no published price, which means the monetisation question is still open.
La Jefa7.07.0no preference
El Hacker7.87.5Kodus — AGPL-3.0 for everything except files marked with .ee. or under ee/, and it takes any OpenAI-compatible endpoint, so the reviewer can run on my own box.

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

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.