Codewhale vs Orca (2026): Which Vibe Coding App Is Better?

Both are popular terminal coding agents. Here is how Codewhale and Orca stack up on price, strengths and weaknesses, and which one we would pick.

Codewhale

Rust terminal coding agent that edits files, runs commands, and checks its own work

7.5 /10

Pricing: Open source

Pros

Model-agnostic: works with hosted APIs or fully local models via Ollama/vLLM/SGLang
Ships TUI, web UI and a VS Code extension from one core agent
Genuinely active development history (10k+ commits) rather than inflated-looking stats

Cons

Newer entrant competing in a crowded terminal-agent space with less brand recognition
Full capability (multi-agent, computer use) requires careful approval-mode configuration

Visit Codewhale ↗

Orca

An ADE for running fleets of coding agents in parallel worktrees, from desktop or mobile

8.0 /10

Pricing: Open source

Pros

Runs multiple coding agents in parallel isolated worktrees with diff comparison
Free, open source (MIT), backed by Y Combinator
Mobile companion apps for monitoring/steering agents remotely

Cons

No hosted/managed tier documented — you bring your own agent subscriptions
Extremely fast recent star growth is worth watching, even though the activity looks organic

Visit Orca ↗

Codewhale vs Orca at a glance

	Codewhale	Orca
Editor score	7.5 / 10	8.0 / 10
Pricing model	Open source	Open source
Starting price	Free	Free
Reader upvotes	0	0
Best for	rust, terminal-agent, local-models	ade, parallel-agents, claude-code
Agent Skills support	No	No
Subagents support	No	No
MCP support	No	No
AGENTS.md support	No	No
Plugins support	No	No
Hooks support	No	No
Rules support	No	No
Agent skills in this directory	0	0
Subagents & agents in this directory	3	3
MCP servers in this directory	0	0

Our pick

Orca edges it with a score of 8.0 versus 7.5. Orca is the better fit if you value: runs multiple coding agents in parallel isolated worktrees with diff comparison, free, open source (mit), backed by y combinator. Choose Codewhale instead if you need: model-agnostic: works with hosted apis or fully local models via ollama/vllm/sglang, ships tui, web ui and a vs code extension from one core agent.