Amp vs Freebuff (2026)

Amp

by Amp Frontier Corporation

Freebuff

by Freebuff

Pros

• ✓Each thread can run in a cloud orb set up with the project's code, tools and plugins, so agents keep working after the laptop closes, and threads can be started or followed from the web, Mac, iPhone, Android or CLI.
• ✓Multi-model by design: four modes route work across OpenAI, Anthropic and fast models, and on Hobby, Individual and Teams developers can bring a ChatGPT subscription or their own keys with no Amp token fees.
• ✓Team features come at no extra charge, including shared threads, multiplayer, shared portals, plugins and skills and pooled credits, and a GitHub App lets agents open pull requests and read CI status.

Limitations

• –Model usage beyond a tier's included credits is paid separately, through the developer's own provider subscription or keys or through Amp credits at provider API prices, and purchased credits expire after twelve months.
• –Paid tiers are billed monthly and orb time is metered by the minute: Megawatt's 45,000 minutes go faster on larger orbs, and the largest orb size is limited to Gigawatt and Enterprise.
• –SCIM, audit logs, IP allowlisting and regional endpoints are on the quote-based Enterprise tier, and SAML or OIDC SSO needs at least one workspace member on a paid tier.

Pros

• ✓Free plan with no card and no API key, funded by text ads shown inside the product.
• ✓Runs in the terminal, a desktop app, the browser, on Android and on connected GitHub repositories.
• ✓Open source under Apache 2.0, with an MCP client and every plan price published.

Limitations

• –Prompt data is used for ad targeting, and models labeled for AI training may share prompts.
• –The Free plan runs DeepSeek V4.1 Flash models, and other models need a paid plan.
• –No security certifications are published, and the beta terms allow price and limit changes.