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Compare/Deep Code CLI vs kimchi

Deep Code CLIvskimchi

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

Deep Code CLI
Vegamo · Terminal agent
#89OSSMCP
Panel
6.3
2 spec wins
Reliability
6.0
Usefulness
6.2
Cost
8.2
Longevity
4.7

“It shares one settings file with a VS Code extension, so you can now be misconfigured in two places at the same time.”

kimchi
kimchi · Terminal agent
#75OSSMCP
Panel
6.2
3 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

SpecDeep Code CLIkimchi
Architecture
CategoryTerminal agentTerminal agent
Runslocallocal
Platformsmacos, linux, windowsmacos, 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
BackboneDeepSeek V4kimchi-dev models, Anthropic
Bring your own modelYesMODEL, BASE_URL and API_KEY are plain settings, so any OpenAI-compatible endpoint can be configured, but the tuning targets DeepSeek V4. Yes
Local modelsNoNo
Cost
Pricing modelbyokusage
Starts at$0/mon/a
Free tierYesNo
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseMITApache-2.0
GitHub stars2,2572,231

Which one would each critic pick

CriticDeep Code CLIkimchiPick
El Juez——not enough reviews
El Amigo7.06.5Deep Code CLI — Pick it if you are already spending on DeepSeek and want defaults built for it; pick a provider-agnostic agent if you switch models every month.
El Crítico6.06.0no preference
El Profesor5.86.5kimchi — A Terminal-Bench adapter ships in the repository, which makes the capability claim checkable by a third party, and no score accompanies it.
La Inversora6.06.0no preference
La Jefa5.55.0Deep Code CLI — A global npm install across sixty machines, no SSO, no audit log, nothing in the pipeline, and prompts leaving for an endpoint I have to approve.
El Hacker7.37.0Deep Code CLI — MIT, and MODEL, BASE_URL and API_KEY are plain settings with environment overrides, so any OpenAI-compatible endpoint works and skills and MCP come along.

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.