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Compare/Albatross vs kimchi

Albatrossvskimchi

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

Albatross
Morgan Linton · Terminal agent
#172OSSMCP
Panel
6.2
2 spec wins
Reliability
5.8
Usefulness
5.8
Cost
8.2
Longevity
4.8

“Optimised for Apple Silicon, so your local model and your laptop can run out of memory in perfect harmony.”

kimchi
kimchi · Terminal agent
#75OSSMCP
Panel
6.2
4 spec wins
Reliability
6.2
Usefulness
6.8
Cost
5.8
Longevity
5.8

“It divides work between an orchestrator, a builder and an explorer, which is more organisational structure than some of its users have.”

Spec by spec

SpecAlbatrosskimchi
Architecture
CategoryTerminal agentTerminal agent
Runslocallocal
Platformsmacos, linuxmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsNoYes
Browser controlNoNo
Sandboxed executionNoNo
Multi-agent orchestrationNoYesMulti-model mode assigns separate models to orchestrator, builder and explorer roles and delegates tasks between them.
Headless / CI modeNoYesThe repository ships a Terminal-Bench adapter that aggregates usage across session files, which implies unattended runs.
Models
BackboneOllama, LM Studio, MLX, llama.cpp, OpenRouter, OpenAI, Anthropic, Grokkimchi-dev models, Anthropic
Bring your own modelYesYes
Local modelsYesNo
Cost
Pricing modelbyokusage
Starts at$0/mon/a
Free tierYesNo
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseMITApache-2.0
GitHub stars2342,231

Which one would each critic pick

CriticAlbatrosskimchiPick
El Juez——not enough reviews
El Amigo6.56.5no preference
El Crítico5.86.0kimchi — In multi-model mode an orchestrator delegates to role-specific models, so a bad result has three possible authors and nothing documented attributes it.
El Profesor6.06.5kimchi — A Terminal-Bench adapter ships in the repository, which makes the capability claim checkable by a third party, and no score accompanies it.
La Inversora5.56.0kimchi — 2,220 stars, a permissive CLI and an API key in the middle: the code is the marketing and the inference is the company.
La Jefa5.55.0Albatross — It installs through cargo, which means a Rust toolchain on sixty machines before anyone writes a line, and nothing here runs unattended afterwards.
El Hacker7.87.0Albatross — MIT, and Ollama, LM Studio, MLX and llama.cpp are all named providers, so the same session runs on my own weights or on a hosted key without changing anything else.

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

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