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Claude Code vs Codex vs Gemini

Compare Claude Code, Codex CLI, Gemini CLI, OpenCode, and Hermes for daily coding work: strengths, weaknesses, memory, multi-agent support, and when to add a workflow layer like AIOS underneath them.

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Claude Code vs Codex vs Gemini CLI: Which Coding Agent CLI Should You Choose?

Quick Answer: All five coding CLIs — Claude Code, Codex CLI, Gemini CLI, OpenCode, and Hermes — are competent at editing files. The differences that matter for daily work are model quality, context window management, and ecosystem lock-in. None of them ships durable cross-session project memory by default. If your work spans multiple sessions, multiple agents, or multiple clients, keep the CLI you like and add a local workflow layer (AIOS) underneath — it adds memory, routing, and verification without replacing the client.

The honest comparison

Claude Code Codex CLI Gemini CLI OpenCode Hermes
Best at Long, nuanced refactors Repo-scale automation, GitHub-native Breadth, multimodal reasoning Open, configurable, model-agnostic Open-source research agent
Model Claude GPT-5.x family Gemini Your choice Nous Research models
Cross-session memory None by default None by default None by default None by default None by default
Multi-agent orchestration Ad-hoc Limited Limited Plugins Via MCP
Local-first Yes Yes Yes Yes Yes

The table's empty "memory" row is the real story. Every major CLI is local-first and fast at editing. The thing none of them does by default is remember yesterday's decisions — which is exactly the gap a workflow layer fills.

When to pick which

  • Pick Claude Code for long, judgment-heavy refactors where the model's reasoning depth pays off.
  • Pick Codex CLI when you live in GitHub and want repo-scale automation with fewer moving parts.
  • Pick Gemini CLI when you want one tool that handles code plus broad multimodal tasks.
  • Pick OpenCode when you want maximum configurability and model freedom.
  • Pick Hermes when you want an open-source agent with an MCP bridge surface.

The missing row: memory and orchestration

Whatever you pick, the workflows that actually ship are rarely a single one-shot session. They are: a decision made on Tuesday, a follow-up on Friday, a parallel review by a second agent, a verification step before merge. None of the five CLIs coordinates that by itself.

That is what AIOS adds underneath:

  • ContextDB — cross-session project memory that works identically in all five clients (and grok).
  • Workflow Policydirect / guarded / planned routing so the amount of process matches the risk.
  • Agent Team — fan out parallel agents and merge their evidence.
  • Solo Harness — resumable long-running runs with verification gates.

You keep the client you already chose; the layer is the same for all of them. See the CLI comparison for the deep dive.

FAQ

Which coding CLI is best in 2026? There is no single best — it depends on model preference and ecosystem. All five are production-usable; the differentiator is memory and orchestration, which none of them provides by default.

Can I use two coding CLIs on the same project? Yes. AIOS is client-neutral: the same .aios/context-db/ memory is available to codex, claude, gemini, opencode, hermes, and grok in the same project.

Do I have to migrate off Claude Code to use AIOS? No. AIOS is a layer under the client, not a replacement. Keep Claude Code (or any other) and add memory, routing, and verification.

Next step

Start with the Quick Start, or read the raw CLI vs AIOS comparison first.