DiffForge
Pricing
- Model
- Subscription
- Free Tier
- Free account with two-minute setup; bring your own agent keys
Summary
Three agents on the same repo, no coordination layer — and two of them just overwrote each other's work on the same file. Diff Forge AI exists to prevent that collision before it becomes a lost afternoon.
The tool runs Codex, Claude Code, and OpenCode side by side in local terminals, with a kernel that leases files so concurrent agents cannot touch the same path at once. Loop Spaces add scheduled blueprint graphs — think cron jobs, but the steps are agent handoffs and verification scripts rather than shell commands. Voice dictation runs locally via Whisper or through the cloud, and screen snips can be dragged directly into a prompt, so you can point at a bug rather than describe it. Token usage and credit events stay visible per provider in real time, which matters the moment you are running three agents against three different API accounts simultaneously. The self-hosted option keeps code on your machine — only commands travel over the wire.
Bottom line: Pick this when you are already running two or more AI coding agents on the same codebase and spending more time on merge arbitration than on shipping; reconsider when your team needs shared multi-user access to the same forge environment, which the current architecture centers on a single local desktop runtime.
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Pros
Sign in to edit- File lease coordination at the kernel level, so three agents editing the same repo never produce a simultaneous write conflict — without this, you are manually partitioning work or running agents sequentially.
- Loop Spaces schedule agent handoffs as blueprint graphs, so repetitive development cycles — run agent, verify output, trigger next step — run unattended instead of requiring you to babysit each transition.
- Local-first execution with remote command queuing, which means code stays on your machine while you steer the session from a phone or second device — avoiding the data-exposure tradeoff of fully cloud-hosted alternatives.
- Per-provider token metering with live pace forecasts, so you catch a runaway agent burning through API credits before the bill arrives rather than after.
- Local Whisper dictation plus screen snip injection, which means you can describe a visual problem by showing it to the agent instead of translating it into text — cutting prompt-writing time on UI and design-adjacent tasks.
Cons
Sign in to edit- The coordination architecture is built around a single local desktop runtime. Teams expecting multiple developers to share one forge session — running agents collaboratively from separate machines — will find this model does not fit; at that scale, teams move to server-side orchestration platforms designed for multi-user access.
- Loop Spaces blueprint graphs are a visual scheduling layer. When your agent pipeline requires branching logic that responds to dynamic output — agents that fork differently based on what the previous step returned — the blueprint canvas is the constraint. Community-reported workarounds involve scripting the branching externally and invoking Loop Spaces as leaf nodes, which means maintaining coordination logic in two places.
- The tool is closed-source, so the coordination kernel, file lease logic, and Loop Spaces scheduler cannot be audited, patched, or extended at the source level. Teams in regulated environments that require full-stack auditability of execution infrastructure treat this as a disqualifying constraint and evaluate open-source alternatives instead.
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About
- Platforms
- Desktop app with web dashboard and device sync
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-07-13T20:53:06.976Z
Best For
Who it's for
- Developers managing parallel AI coding workflows
- Users needing local execution with remote steering
- Teams coordinating voice-driven agent tasks
- Projects requiring file conflict prevention across agents
What it does well
- Running multiple coding agents side-by-side on the same codebase
- Automating repetitive development loops with scheduled agent handoffs
- Capturing screen context and dictating instructions to agents
- Monitoring token usage and credits across AI providers in real time
Integrations
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Frequently Asked Questions
- Is DiffForge free?
- DiffForge has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is DiffForge open source?
- No — DiffForge is a closed-source tool. Source code is not publicly available.
- Does DiffForge have an API?
- Yes. DiffForge exposes a developer API. See the official documentation at https://diffforge.ai for details.
- Can I self-host DiffForge?
- Yes. DiffForge supports self-hosting on your own infrastructure.
- What platforms does DiffForge support?
- DiffForge is available on: Desktop app with web dashboard and device sync.
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Curated lists that include this category
Diff Forge AI is a desktop coordination environment for developers running multiple AI coding agents — Codex, Claude Code, and OpenCode — against real local projects. The core workflow starts with a free account and CLI detection, then opens a multi-terminal workspace where a local coordination kernel assigns file leases so agents working in parallel cannot produce simultaneous edits on the same path. Loop Spaces extend this into scheduled automation: blueprint graphs wire together scripts, agent handoffs, and verification steps in sequence, functioning as a cron-style scheduler purpose-built for agent pipelines.
The differentiating capability is the combination of local execution with remote steering. The vendor describes an architecture where only commands travel over the network — code never leaves the machine — while a cloud sync layer lets you queue tasks from a web interface or phone. This matters when you want to kick off a long agent loop, step away, and redirect it from a different device without exposing the codebase to a third-party server.
Voice input works two ways: local Whisper transcription for fully offline dictation, and a cloud voice agent for cases where local processing is insufficient. Screen context is captured via area snips that can be annotated and dropped directly into agent prompts — useful for pointing an agent at a visual artifact like a UI bug or a PCB layout without writing a verbose description. Token usage dashboards surface live limits, pace forecasts, and credit events per provider account, which teams running mixed OpenAI and Anthropic spend will find directly useful.
The self-hosted path is supported, and the tool is closed-source — meaning the coordination kernel and Loop Spaces scheduler are not inspectable or forkable. Teams that need to audit or extend the core scheduling logic cannot do so without working within the extension surface the vendor exposes.