firstmate vs Gorchestra

firstmate and Gorchestra 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.

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.

Gorchestra

Gorchestra is a locally-run Go server that wraps multiple Codex and Claude coding sessions into a single interface, streaming every event in real time and persisting the full history to SQLite. You can inspect live file changes and git state mid-run, queue follow-up messages without interrupting the agent, and return to the exact same session state after a disconnect or restart. The tool is MIT-licensed, self-hosted, and carries no hosted backend. The ceiling appears when your workflow demands coordinating agents across machines or teams — everything here is designed around a single developer's local environment, not a shared multi-user setup.

Attribute	firstmate	Gorchestra
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	—	Desktop, Mobile, Local server
Pros	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.	Full session history persisted to a local SQLite file, so a disconnect or restart does not erase the record of what the agent did — you replay from the stored event log rather than starting over. Real-time file and git state inspection during agent runs, which means you catch a runaway edit or a bad branch decision while the session is still live instead of discovering it in a post-mortem. Desktop and mobile web UI over a local server, so you can monitor or queue messages from a phone without keeping a terminal window open on the same machine. MIT license with no hosted component or paid tier, which means there is no vendor dependency, no data leaving your machine, and no pricing gate blocking any feature. Parallel session management across Codex and Claude agents from a single interface, so switching between tasks does not mean context-switching between unrelated terminal windows.
Cons	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.	The architecture is explicitly single-machine and single-user: there is no shared session model, no role-based access, and no way for two developers to observe or hand off the same running session. A team that needs that coordination hits a wall at the first handoff and moves to a hosted platform with multi-user primitives. No API surface is exposed, so gorchestra cannot be triggered or queried by an external system — CI pipelines, Slack bots, or custom dashboards cannot integrate with it. Teams building any kind of automated trigger around their agent runs have to instrument the agents themselves rather than the orchestration layer. Support for agents is scoped to Codex and Claude per the repository description. Teams standardized on a different coding agent or building a custom tool-use loop find no documented extension point and will need a different runner.

Bottom line

firstmate and Gorchestra are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between firstmate and Gorchestra?

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

Is firstmate better than Gorchestra?

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.