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Compare/Lemon AI vs SWE-agent

Lemon AIvsSWE-agent

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

Lemon AI
Hexdo · Autonomous SWE
#203OSS
Panel
5.8
1 spec wins
Reliability
5.0
Usefulness
6.2
Cost
7.2
Longevity
4.8

“The documented minimum is 4GB of RAM, which is confident for a product that runs a virtual machine in order to write your code.”

SWE-agent
Princeton University and Stanford University · Autonomous SWE
#144OSS
Panel
5.1
3 spec wins
Reliability
5.5
Usefulness
4.8
Cost
6.5
Longevity
3.7

“Maintenance-only and superseded by a version with mini in the name, which is the most honest changelog on this board.”

Spec by spec

SpecLemon AISWE-agent
Architecture
CategoryAutonomous SWEAutonomous SWE
Runslocal, sandboxlocal, sandbox
Platformsmacos, linux, windowsmacos, linux
Context windownot documentednot documented
Protocols
MCP clientNoNo
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsNoYes
Browser controlYesNo
Sandboxed executionYesAll code writing, execution and editing happens inside a Docker-based virtual machine sandbox rather than on the host. Yes
Multi-agent orchestrationNoNo
Headless / CI modeNoYes
Models
BackboneDeepSeek, Qwen, Llama, Gemma, Kimi, GPT-OSS, Claude, GPT, Gemini, GrokClaude, GPT, any LiteLLM-supported model
Bring your own modelYesYes
Local modelsYesYes
Cost
Pricing modelbyokbyok
Starts at$0/mo$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseLemon AI Open Source LicenseMIT
GitHub stars1,57220,455

Which one would each critic pick

CriticLemon AISWE-agentPick
El Juez——not enough reviews
El Amigo6.35.0Lemon AI — Pick it when you want to point at the part of the page that is wrong instead of describing it; pick a hosted platform if you would rather it were quick.
El Crítico5.54.8Lemon AI — The documented run command mounts the host's container socket into the container, which hands anything inside it control of the daemon the boundary was supposed to enforce.
El Profesor6.35.8Lemon AI — The loop is named in four parts, planning, action, reflection and memory, and all four run inside the isolated environment rather than around it, which is an unusual placement.
La Inversora5.54.0Lemon AI — 1,562 stars positioned explicitly against a well-funded hosted platform, with no hosted tier of its own and nothing metered: the comparison flatters and does not fund.
La Jefa5.03.8Lemon AI — Self-hosted at no licence cost for sixty engineers, and every one of them on Windows needs a Linux subsystem and a desktop container runtime before anything starts.
El Hacker6.37.5SWE-agent — MIT, Docker-sandboxed, any LiteLLM model including my local server, and every prompt in the repo; maintenance-only just means the code stops changing under me.

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.