Written from their pages, not ours

How Forge
Actually Compares

Every page is built from the vendor's own current wording — and closes with what twelve weeks of Forge building Forge actually measured: 1216 handoffs judged, 80 of them stopped.

12 weeks of Forge building Forge
1216 handoffs read and judged by a management agent
80 of them stopped before the next role saw them

At a glance

The same three questions, asked of everyone

Not a feature checklist. These are the three questions that actually separate an agent runtime from a team you can hand work to — and the honest answer for each tool, in its own terms.

Forge Orchestrated team
A brief in plain English, turned into named roles
An independent management agent, on every handoff
A branch in your repo: spec, brief and every handoff as commits
Claude Code / Codex Local coding agent
A task you hand one agent, in your own terminal
You — both vendors say so in their own docs
A diff, plus whatever that session happened to remember
Cursor Coding agent
A task handed to a coding agent in your editor
You, in an editor you have to be sitting at
A pull request
n8n Automation canvas
Nodes and edges you draw yourself
Approval nodes, where you place them
An execution log on the canvas, inside n8n
LangGraph Framework
A graph you write: nodes, edges, state
Human-in-the-loop interrupts, where you place them
State checkpoints so a run can resume
OpenAI Agents SDK Agent SDK
Agents in your code handing control to each other
Guardrails checking input and output
Built-in tracing, in OpenAI's tooling
Devin Autonomous engineer
A session sized to about three hours of your work
Devin, reviewing its own work
Knowledge accumulated inside Devin
Factory Enterprise autonomy stack
A Droid subagent a lead agent calls
You, approving each change before it lands
Changes reviewed before they touch the codebase
Replit App builder
An app you describe in a prompt
You, looking at the app it published
A running app on Replit's infrastructure
Encore Infrastructure from code
A backend feature declared in your application code
You, reviewing the branch the sandbox produced
Provisioned infrastructure in your AWS or GCP account

In depth

One page per tool, written against their current wording

Each page opens with where that tool is genuinely strong, then names the one mechanism Forge has that it does not.

01 Local coding agent

Forge vs Claude Code & Codex

A local coding agent is the best thing that has happened to a developer's keyboard — and both vendors' own documentation says the same thing about it: you are the reviewer. Forge puts a named team around that agent, with a manager who judges every handoff and a record of why, so the work can run when nobody is sitting there.

  • Their docs already tell you who the reviewer is
  • A team of named people, not one capable agent
  • Autonomy means it runs when you are asleep
  • The argument is committed, not just the answer
Read the comparison
02 Coding agent

Forge vs Cursor

Cursor gives you a coding agent — now a fleet of them — working your codebase, in an editor you have to be sitting at. Forge gives you a team of different roles with an independent management agent reviewing every handoff, running unattended, on work that is not only software.

  • A fleet of coders is not a reviewed team
  • The record starts before the pull request
  • Software is one archetype, not the product
  • Your hardware, your provider keys
Read the comparison
03 Automation canvas

Forge vs n8n

n8n gives you a canvas and 500+ integrations to wire agents together yourself, then keep that graph in sync as the job changes. Forge takes a brief in plain English, generates the team, and puts an independent management agent between every handoff — with the handoffs committed to your git repo.

  • You describe the team; you don't draw it
  • A management agent between every handoff
  • The record is a git branch, not an execution log
  • Different jobs, not a replacement
Read the comparison
04 Framework

Forge vs LangGraph

LangGraph is a low-level framework for building agent runtimes — you write the graph. Forge is an operated system built on top of that idea: you describe a team in plain English, and a management agent judges every handoff before the next role sees it. One is a library. The other is a product.

  • A framework asks you to write the graph
  • Validation is the edge, not code you remember to write
  • State lives in your git, not in a checkpointer
  • You get the operated parts too
Read the comparison
05 Agent SDK

Forge vs the OpenAI Agents SDK

The OpenAI Agents SDK has handoffs and guardrails too — so the lazy version of this comparison is wrong. The real difference: its handoff passes control between agents inside your code, while a Forge handoff is a work product a management agent judges and commits to your git repository.

  • Two different things are called a handoff
  • Guardrails validate input; a validator judges work
  • Tracing you can read, versus history you own
  • A library to build with, versus a system that runs
Read the comparison
06 Autonomous engineer

Forge vs Devin

Devin is one autonomous engineer with its own machine, reviewing its own work. Forge runs a team of named roles with an independent management agent judging every handoff — and commits that reasoning to your repository, where you can read it months later.

  • One engineer, or a team with a supervisor
  • Devin's own sizing rule is the honest boundary
  • What you keep afterwards
  • Hosted product, versus your hardware and your keys
Read the comparison
07 Enterprise autonomy stack

Forge vs Factory

Factory's Droids already do adjustable autonomy, model routing and custom subagents — so this is not a feature-gap argument. The difference is that Forge puts an independent management agent between roles and commits every handoff to your repository, and runs work that is not software at all.

  • A subagent is delegated to; a Forge role is reviewed
  • Permission before a change, versus a record after it
  • A count, not an ROI percentage
  • Software is one archetype, not the product
Read the comparison
08 App builder

Forge vs Replit

Replit turns a prompt into a running app on its own infrastructure, fast. Forge turns a description of a team into a process that runs unattended, has an independent agent judge every handoff, and leaves the whole record as commits in your own repository.

  • You describe a team, not an app
  • The record is commits in your repository
  • It is not an app builder
  • Your hardware, your keys, your provider pool
Read the comparison
09 Infrastructure from code

Forge vs Encore

Encore automates the infrastructure a backend feature needs and gives each agent a disposable sandbox. Forge runs a standing team of named characters that accumulate judgement, have an independent agent check every handoff, and leave the whole record as commits in your own repository.

  • Agents that stay, not sandboxes that are destroyed
  • Someone checks the handoff before you do
  • Any language, any stack, no SDK to adopt
  • The record is commits in your repository
Read the comparison

Method

How these pages are written

01

From their live pages, not our memory

Every claim about another tool is taken from that vendor's own current documentation or product page, in the wording they publish today.

02

A count with a method, not a multiple

Our evidence is one number from one real run: 1216 handoffs judged, 80 stopped. No invented baseline, no productivity percentage.

03

Where they are better, the page says so

Cursor is an excellent coding agent, n8n is unmatched at integrations, LangGraph is right if you want to own the architecture. A comparison that concedes nothing is an advert.