Available agents
| Agent | By | Models |
|---|---|---|
| Claude Code | Anthropic | Claude Fable, Opus, Sonnet, Haiku |
| Codex | OpenAI | GPT 5.6 Sol, GPT 5.6 Terra, GPT 5.6 Luna, GPT 5.5, GPT 5.4, GPT 5.3 Codex |
| OpenCode | Open source | Multi-provider — see below |
Reasoning effort
Every model runs at an effort level:low, medium, high, or xhigh — higher effort means deeper reasoning and longer runs. Claude Code adds ultracode, which combines maximum effort with multi-agent workflows for the hardest tasks.
Defaults
Set what runs when you don’t choose explicitly in Settings → Routing: thedefault routing config defines the workspace’s standard agent, model, and effort, and /trigger keywords let a single message opt into something else. See Routing.
Memory
Agents persist non-obvious learnings — setup quirks, conventions, gotchas — toCLAUDE.md or AGENTS.md in the relevant repo, and read those files at the start of every task. Memory is plain Markdown in your repo: reviewable in PRs, portable across all three agents, and yours to edit.