AI Agent Index

Warp AI vs Amp (2026)

Side-by-side comparison of Warp AI vs Amp: pricing, capabilities, integrations, deployment complexity, and ratings. Last updated August 17, 2026 by The AI Agent Index Editorial Team.

Data sourced from The AI Agent Index

Warp AI logo

Warp AI

by Warp Terminal

AI-native terminal and agentic development environment with cloud agents, codebase indexing, and MCP client support. Open-source, 63.1k stars. Free; Build $18/mo; Max $180/mo.

freemiumB2B
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Amp logo

Amp

by Sourcegraph

Frontier agentic coding agent by Sourcegraph for the terminal and editor, with subagents, remote execution, and MCP tools. Pay-as-you-go with zero markup; Amp Free tier; Enterprise adds a 50% premium.

usage-basedBOTH
Visit Amp
Warp AI
Amp
Pricing model
freemium
usage-based
Starting price
$18/mo, billed annually
Contact sales
Pricing transparency
mostly public
mostly public
Contract type
both
monthly
Customer segment
B2B
BOTH
Deployment
desktop, cli
cli, ide, cloud
Setup difficulty
easy
easy
Avg setup time
< 15 minutes (download for macOS/Linux/Windows, sign in for AI features, first command with AI suggestions)
< 15 minutes (install the CLI with one command or add the VS Code extension, then start on Amp Free or buy $5+ in credits and run your first thread)
Editorial rating
4.3 / 5
4.0 / 5
G2 rating
No G2 listing
4.5/5 (91 reviews)
MCP
Client
Client
GitHub stars
64.3k
N/A
Data training
opt out
no
Human in loop
optional
optional
Security certs
SOC 2 Type II
SOC 2 Type II

Capabilities

Warp AI

terminal-agentagentic-codingautocomplete

Amp

agentic-codingterminal-agentmulti-file-editingautonomousgit-native

Pros & Limitations

Editorial assessment

Warp AI

Pros

  • AI-native architecture is genuinely differentiated: Warp was rebuilt from inception around AI assistance, block-based output, and team collaboration, producing a materially better experience than traditional terminals that retrofit AI features.
  • Cloud Agents support always-on autonomous execution, so long-running agentic tasks survive terminal session closure. Oz extends this by orchestrating Claude Code, OpenAI Codex, and Warp Agent together in one multi-agent workflow.
  • Open-source with 64.3k GitHub stars. The 2025 transition addresses the data-governance concerns that blocked adoption at security-conscious organizations, and the community can now audit, fork, and self-host.

Limitations

  • Warp is an MCP client only. Agents inside Warp can consume external MCP servers, but Warp exposes no server of its own, so external AI assistants cannot drive Warp or reach its context.
  • macOS-first focus with a weaker Windows experience. Warp is mature on macOS and Linux, but Windows lags on stability and feature parity, which constrains cross-platform team adoption.
  • Business tier pricing scales steeply. At $45/user/month annual, a 50-person engineering team pays $27,000/year for terminal access, which is significant overhead versus free traditional terminals plus separate AI tooling. Zero Data Retention is also only enforced by default at that tier, leaving Free, Build, and Max users to configure it themselves.

Amp

Pros

  • Frontier-first design with unfettered token and tool access: Amp optimizes for output quality rather than minimizing cost, running multi-step threads, subagents, and remote agents that users frequently rate above Claude Code, OpenAI Codex, and Cursor.
  • Transparent pay-as-you-go pricing with zero markup: individuals and non-enterprise workspaces pay only pass-through LLM and tool costs from a $5 minimum, with an Amp Free tier and no subscription or commitment.
  • Meets developers in place across CLI, VS Code, Cursor, and Windsurf with MCP client support and a plugin system: no new UI to learn, and agents extend through local or remote MCP servers and custom subagents.

Limitations

  • Usage-based pricing makes spend less predictable than per-seat subscriptions: because Amp deliberately spends tokens freely for better results, costs scale with consumption and heavy multi-agent use can add up quickly.
  • Proprietary with no open-source or self-hosted edition: teams wanting a forkable, auditable agent they run on their own infrastructure cannot use Amp, unlike open-source alternatives.
  • Terminal-centric with thin non-G2 signal: Amp is strongest for developers comfortable in the CLI, and independent validation outside its 91 G2 reviews (for example Product Hunt) remains limited for a product this new.

Frequently asked questions

How does pricing compare between Warp AI vs Amp?

Warp AI uses a freemium model, starting at $18 per month on an annual commitment (month-to-month costs more). Amp uses a usage-based model with pricing on request.

View full Warp AI profile

Pricing, reviews, integrations →

View full Amp profile

Pricing, reviews, integrations →

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