eve vs firstmate

eve and firstmate are both agent frameworks tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

eve

The platform gives coding agents a native deployment surface — API, CLI, MCP, and agent-callable Skills — so agents ship and iterate on apps without a human relaying commands. Sandboxed VMs let agents run code they generated without that code touching your production environment. Durable Orchestration means a workflow that pauses for minutes or months resumes from the exact checkpoint, not from scratch. The constraint is architectural: there is no self-hosted path, so teams with strict data-residency requirements or air-gapped environments hit a wall before they write a single agent. At that point, the conversation moves to a competitor with an on-premises option.

firstmate

firstmate puts a single orchestrating agent — the 'first mate' — in front of you, while it spawns a crew of autonomous coding agents behind the scenes, each isolated in its own git worktree. You describe what needs doing; the crew splits the work in parallel and keeps collisions out of your main branch. The visible session backend means you can watch what each agent is doing without switching tabs. The architecture works cleanly for investigation tasks, parallel fixes, or supervised PR generation — the constraint is that there is no API surface, so anything requiring programmatic integration into an existing CI pipeline has to wire around the tool manually.

Attribute	eve	firstmate
Pricing	Paid	Free
Price	$20/mo	—
Free trial	No	No
Open source	Yes	Yes
Has API	Yes	No
Self-hosted option	No	Yes
Platforms	Web, Cloud	—
Pros	Durable workflow orchestration that pauses and resumes from the exact checkpoint, so long-running agent tasks don't restart from zero after a timeout or an external dependency stalls. Sandboxed VMs for agent-generated code, which means agents can execute and test code they wrote without that code running in your production environment — a critical containment layer most teams otherwise build themselves. AI Gateway routes across hundreds of models, so swapping the underlying model or adding a fallback when one provider goes down is a configuration change, not a rewrite. Native agent interfaces — API, CLI, MCP, and Skills — so coding agents can deploy, investigate errors, and open PRs without a human relaying each command between the agent and the deployment surface. Delivery infrastructure cited at Zapier-scale (100 million monthly visits) and Notion-scale (millions of agent conversations daily), so teams avoid the spike-handling engineering that normally precedes a production launch.	Crew-based parallel dispatch, so three investigation or fix tasks run simultaneously instead of sequentially — cutting the wall-clock time you'd spend babysitting separate agent sessions. Per-agent git worktree isolation, which means parallel agents working on adjacent code do not produce mid-run merge conflicts that you have to untangle before any output is usable. Visible session backend for the whole crew, so you can monitor what each agent is doing without switching terminals or losing track of which session held the failing test. Self-hosted under MIT license with no paid features gated behind a tier, so teams with data-residency or audit requirements can deploy it without a vendor conversation. Supervised agent loops with PR or report output as the end state, which means you review finished work rather than raw agent traces — keeping you in the loop at the decision point that matters.
Cons	No self-hosted option exists in the vendor documentation — teams with data-residency requirements, air-gapped networks, or on-premises security policies cannot run this stack inside their own perimeter, and the conversation moves to a competitor that offers on-premises deployment before the build begins. The platform is paid-only with no open-source core described on the product page, so teams that need to audit, fork, or extend the infrastructure layer at the source level have no path to do that — what the vendor ships is what you run. Agent autonomy is bounded by the Skills and MCP interfaces Vercel exposes — agents that need to call infrastructure primitives outside that surface (custom cloud resources, proprietary internal APIs, non-standard toolchains) require an integration layer that the team builds and maintains separately.	No API surface exists in the architecture, so teams that need to trigger agent crews from a CI system or external scheduler have to build shell-level integrations against a tool not designed for that pattern — and maintain that glue code themselves. The crew model requires a human interacting with the first mate agent as the starting point; fully unattended, scheduled agent runs with no human in the dispatch loop are not a supported workflow, which is the condition under which teams move to an orchestration framework that exposes a programmatic entry point. Community support through GitHub issues is the primary support channel — with 29 open issues noted on the repo — so teams encountering edge-case failures in production have no escalation path beyond the open-source community.

Bottom line

Eve is paid while firstmate is free; only eve exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between eve and firstmate?

eve is Paid and open source, while firstmate is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is eve better than firstmate?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

eve vs firstmate: which should I pick?

Pick eve if its pricing model, openness, or platform fit matches your constraints; pick firstmate otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.