Replit Agent Alternatives That Run on Your Own Machine

Replit Agent is an AI builder that works inside a Replit project, which stays in sync with replit.com. If you want the agent to run on your own computer instead, open-source options include Dyad, bolt.diy, OpenCode, Cline, Aider, Goose and OpenHands. OpenAI's Codex CLI and Anthropic's Claude Code also run locally.

There is one more option, and it does not cost you the AI plan you already pay for. Bring the Claude, ChatGPT or Codex plan you already pay for and use it inside the Safeguard CLI. Safeguard adds no extra charge for that usage; your plan's own usage limits and terms still apply. You can also connect Claude or ChatGPT to the Safeguard MCP server and use Safeguard from the chat you already work in.

This guide sets out what Replit Agent does according to Replit's own docs, compares local alternatives on facts from their repositories, walks through moving a project from Replit to your laptop with real commands, and shows how the Safeguard CLI fits once the work is on your machine.

What Replit Agent is, from Replit's docs

Replit's docs describe Agent as an AI builder that "takes action: it sets up your project, creates applications, checks its work, and fixes problems along the way." You describe what you want in plain language and chat with it in the Project Editor.

What it builds. A Replit project is "the container for everything you build on Replit." Inside it, Agent can produce artifacts such as web apps, mobile apps, data visualizations, slide decks and design canvas work. Each artifact gets "automatic access to a backend, database, and file storage." When you publish, "all artifacts publish together."

Plan and Build modes. Build Mode is the default, and Agent writes code and edits files in it. Plan Mode is read only: "Agent reads your project and provides guidance, but it won't make any changes to your files." You review the task list it proposes, then choose Build here or Build in background. Background tasks wait for your review before applying changes unless you turn on automatic application.

Checkpoints. Agent "creates checkpoints at logical points during development." Each checkpoint keeps project contents, AI context and connected databases, and you can roll back with a click. Checkpoints are stored in Git, and the Git pane offers GitHub sync.

Plans and modes. Agent is available on the Core and Pro plans, with Free Mode for everyday work within an allowance and paid Power and Max modes. Replit "asks for confirmation before a paid action starts." The docs list one active background task on Core and ten on Pro.

Where the work lives. Replit has a web app, a desktop app for Windows, Mac and Debian-based Linux, and mobile apps. The desktop app page says "Everything you build stays in sync with replit.com." On paid plans, SSH gives you "remote access to your Replit App's command line interface," so you can edit in VS Code or Cursor on your laptop while files sync with the Replit App.

That last point is why people search for alternatives. Some want the files, the shell and the agent all on their own machine, under their own git history and their own security checks. The tools below do that.

Replit Agent alternatives that run on your machine

We confirmed every licence below on the project's own repository page. "Where the agent runs" means where the tool executes. Prompts and the files the agent reads still go to the model provider you configure, unless you use a local model.

Closest to the Replit experience: app builders

Dyad. Dyad's README calls it "a local, open-source AI app builder" that runs "right on your machine," with "No sign-up required." The README lists Mac and Windows, and you bring your own AI API keys. Know before adopting: code outside the src/pro folder is Apache 2.0, while code inside src/pro is fair-source under the Functional Source License 1.1, so check which parts you depend on.

bolt.diy. bolt.diy is an MIT-licensed AI developer workspace that lets you "select your preferred LLM for every prompt." You run it locally with Node.js 22.12.0 or later and pnpm, through Docker Compose, or as a desktop app from its releases page. It supports more than 22 providers, including local runtimes. Know before adopting: it uses the WebContainers API, which has its own commercial licensing terms, and the README says ongoing work is bug fixes and dependency updates with no new features planned.

Coding agents for the terminal and editor

OpenCode. OpenCode is an MIT-licensed coding agent with a terminal UI and a beta desktop app for macOS, Windows and Linux. Its provider docs list more than 75 providers and local models through Ollama, llama.cpp and LM Studio. Know before adopting: Tab switches between a build agent with full access and a read-only plan agent that asks before running bash, so pick the right one before you start. We cover it in depth in open-source OpenCode alternatives.

Cline. Cline is an Apache 2.0 agent for VS Code, a JetBrains plugin, a CLI and a desktop app for macOS and Windows. Its README says "Every file edit and terminal command requires your approval," and changes are tracked with checkpoints you can undo, which will feel familiar if you used Replit's rollbacks. Know before adopting: auto-approve can be switched on, and the JetBrains plugin is not open source.

Aider. Aider is "AI pair programming in your terminal," licensed Apache 2.0 and installed with Python. It connects to nearly any LLM, including local models. Know before adopting: it commits every change to git with a generated message, so your undo button is git history rather than a checkpoint list.

General agents and self-hosted platforms

Goose. Goose is a general-purpose Apache 2.0 agent with a desktop app for macOS, Linux and Windows, a CLI and an API. It is part of the Agentic AI Foundation at the Linux Foundation and works with more than 15 providers. Know before adopting: its docs say "Autonomous Mode is applied by default," which lets it edit and delete files without sign-off. Manual Approval, Smart Approval and Chat Only modes are available.

OpenHands. The OpenHands repository is MIT licensed and presents a self-hosted stack that runs the OpenHands agent by default and can drive other agents. You can run it locally, in Docker with a sandbox per conversation, on VMs or on OpenHands Cloud. Know before adopting: the README warns that the non-sandboxed install gives the agent "full access to your filesystem," and it labels the project beta.

From the model vendors

Codex CLI. The Codex CLI README calls it "a coding agent from OpenAI that runs locally on your computer," licensed Apache 2.0. You sign in with ChatGPT or an API key. OpenAI's docs say its Auto preset lets Codex edit and run commands in the working folder while network access stays off until you allow it. See OpenAI Codex alternatives for more.

Claude Code. Claude Code is Anthropic's agentic coding tool for the terminal, IDE, desktop and web. Most surfaces need a Claude subscription or an Anthropic Console account, and the terminal CLI also supports third-party providers. Local sessions run on your machine; cloud sessions run on Anthropic-managed VMs.

Moving a project from Replit to your machine, step by step

This walkthrough assumes a web app built with Replit Agent. Adjust the install and run commands for your stack.

Step 1: Sync the project to GitHub. Replit's version control is "powered by Git at its core," and the Git pane offers GitHub sync. Connect a repository and push. Checkpoints are stored in Git, so your history comes with you.

Step 2: Clone it and install dependencies locally.

git clone https://github.com/your-org/your-app.git
cd your-app
git switch -c local-agent

# Then the usual install for your stack, for example:
npm install
# or
python -m pip install -r requirements.txt

Step 3: Recreate configuration. Replit gave each artifact a backend, database and file storage without setup. On your machine you provide those yourself: a local database, environment variables in a .env file that git ignores, and any service keys. Do not commit keys while you move them.

Step 4: Take a baseline before any agent touches the code.

curl -fsSL https://cli.safeguard.sh/install | bash
safeguard scan --dir .

The scan builds an SBOM and matches it against vulnerability databases. Results land as JSON files under ./output, including vuln.json and license.json. Now you know what you inherited, so you can tell later what an agent added.

Step 5: Install an agent and set approvals before the first prompt.

# OpenCode
curl -fsSL https://opencode.ai/v2/install | bash
opencode            # press Tab to switch to the read-only plan agent first

# Aider
python -m pip install aider-install
aider-install
aider

# Goose CLI
curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh | bash

# bolt.diy, for a browser workspace on your machine
git clone https://github.com/stackblitz-labs/bolt.diy
cd bolt.diy
pnpm install
pnpm run dev        # serves on localhost:5173

If you pick Goose, switch from Autonomous to Manual Approval or Smart Approval before your first task. If you pick Cline, leave auto-approve off until you trust your setup.

Step 6: Ask for a small, checkable change. "Add input validation to the signup form and a test for it" is a better first task than "build the admin panel." Review the diff, run the tests, then scan again:

git diff main --stat
safeguard scan --dir .

Compare the new vuln.json with your baseline. A new critical finding usually points to a package the agent added or upgraded, so look at it before merging. Our guide to checking coding agent changes goes deeper on this loop.

Step 7: Decide where the app is hosted. Moving the agent to your laptop does not move hosting. Replit can import a GitHub repository as a Replit App, so one option is to keep hosting there and push from your machine. The other is to deploy to your own infrastructure.

Common mistakes

Assuming the new tool has checkpoints. Replit and Cline track checkpoints. Aider relies on git commits, and other tools leave undo to you. Work on a branch so a bad run is one command to throw away.

Leaving the default approval mode on. Goose starts autonomous and OpenCode's build agent has full access. Set modes first.

Committing secrets during the move. Replit stored configuration for you. Locally, add .env to .gitignore before your first commit.

Skipping the baseline scan. Without it you cannot tell inherited vulnerabilities from new ones.

Treating approval as review. Approving a command tells you what the agent wants to run. It does not tell you whether the package it installed has a known CVE.

Do the work properly with the Safeguard CLI

Every tool above can write code. The Safeguard CLI writes code too, and its assistant starts from your Safeguard data: the vulnerabilities in your dependencies and your scan results. It scans code, container images and SBOMs on your own machine, sends only the results to the platform, and includes an assistant that can fix what it finds. You can use it as your main assistant, or run it after any agent above.

Install

The CLI is a single static binary. No Node, Python or JVM is needed. It runs on macOS, Linux and Windows, on x86_64 or arm64, with Windows on x86_64 only.

# macOS and Linux
curl -fsSL https://cli.safeguard.sh/install | bash

# Windows (PowerShell)
irm https://cli.safeguard.sh/install.ps1 | iex

First session

Run safeguard with no arguments to open the interactive terminal. Type /login to sign in through your browser, then /scan . to scan the folder you are in. You can ask in plain language, for example "how many critical vulns do we have". @ attaches a file from the folder you started in, /resume picks up the last session in that folder, and /model shows or switches the AI model.

Use your Claude, ChatGPT or Codex plan

Bring the Claude, ChatGPT or Codex plan you already pay for and use it inside the Safeguard CLI. Safeguard adds no extra charge for that usage; your plan's own usage limits and terms still apply. To connect a model, see the CLI docs or run /model in a session.

You can also go the other way and bring Safeguard into the chat you already use. This demo connects ChatGPT to the Safeguard MCP server with OAuth and chooses which Safeguard tools ChatGPT can use:

Click through it at your own pace, or open it full screen.

Writing and fixing code on your machine

The assistant has tools for your local files and for your Safeguard data, and it picks whichever the question needs. Ask it to "fix the lodash CVE in this repo" and it works from your real findings, then writes files, edits code and runs commands, with your approval. The same tools make it a general terminal assistant: the docs give "what's the latest file in ~/Downloads" as an example. That covers what most people asked Replit Agent for day to day: find and read files, change code, run the command that proves it works.

This demo attaches a computer running the Safeguard CLI and a folder, asks for a fix, reviews the diff and approves the command before it runs. The demo notes that computer work from Search is available and expanding:

Click through it at your own pace, or open it full screen.

Approvals

Tools that change things ask before they act. /permissions sets how often: Ask prompts before every action, Auto approves known actions and asks for anything new (the default), and Yolo approves everything. If you liked reviewing Replit's plan before it built, Ask gives you a prompt before each step.

Scans and CI with safeguard exec

safeguard scan --dir .
safeguard scan --repo https://github.com/your-org/your-app
safeguard scan --image your-app:latest
safeguard scan --sbom bom.json
safeguard exec "summarise the critical findings in this repository"

safeguard validate checks CycloneDX, SPDX and VEX documents. safeguard exec runs one non-interactive assistant turn, which suits a CI job. Policies and gates are evaluated in the Safeguard platform, not by the CLI. When the local runner handles platform scan jobs, your source code never leaves your machine; only SBOMs and findings are uploaded. The platform adds reachability analysis and autonomous remediation with fix pull requests, which is off by default. For a longer tour, read the Safeguard CLI as an AI assistant on your machine.

Try it with nothing installed: the cloud sandbox

Replit's appeal is that you can start in a browser. Safeguard has that too. The cloud sandbox gives you an isolated tenant against a seeded demo repo, free for seven days with no card. The Cloud CLI runs the CLI on Safeguard's infrastructure, and the web interface is the full platform in a browser. When you are ready to work locally, install the CLI.

One platform on every surface

The download page lists each surface. Start in the terminal with CLI 1.4.0, which also runs in CI/CD. Continue in desktop app 3.2.2: a Windows 10/11 installer for x64 and ARM, a signed and notarized macOS build for Apple Silicon with an Intel build linked, and a Linux AppImage for x86_64. Check findings on your phone with the iOS app or the Android app from Google Play. Your editor gets the VS Code, JetBrains or Open VSX extension, and Chrome gets the browser extension.

FAQ

Does Replit Agent run on my computer?

Replit's docs describe Agent working inside a Replit project. The desktop app page says everything you build stays in sync with replit.com, and SSH gives a local editor remote access to the Replit App's command line. The alternatives in this post run the agent on your own machine.

Can I keep using Replit and still work locally?

Yes. Replit's Git pane offers GitHub sync, and Replit can import a GitHub repository as a Replit App. You can work locally, push to GitHub and keep the project on Replit.

Which alternative feels most like Replit Agent?

Dyad and bolt.diy are app builders you describe apps to, like Replit Agent. OpenCode, Cline, Aider and Goose are coding agents that work on an existing folder. Pick by workflow, not by name.

If I switch to Safeguard, do I lose my Claude, ChatGPT or Codex plan?

No. Bring the Claude, ChatGPT or Codex plan you already pay for and use it inside the Safeguard CLI. Safeguard adds no extra charge for that usage; your plan's own usage limits and terms still apply. You can also connect Claude or ChatGPT to the Safeguard MCP server and use Safeguard from that chat.

Does the Safeguard CLI write code, or only scan?

It writes code. The assistant can write files, edit code and run commands, with your approval, and it can fix what a scan finds. It is not a feature-for-feature replacement for Replit Agent or any tool here.

Does my code leave my machine?

With any coding agent, prompts and the files the agent reads go to the model provider you configure. With Safeguard scans, results go to the platform, and when the local runner handles platform scan jobs only SBOMs and findings are uploaded.

Can I try Safeguard without installing anything?

Yes. The cloud sandbox is an isolated tenant against a seeded demo repo, free for seven days with no card. The Cloud CLI and web interface also need no install.

Which approval mode should I start with?

Start with the most cautious mode the tool offers: Manual Approval in Goose, auto-approve off in Cline, the plan agent in OpenCode, Ask in the Safeguard CLI. Loosen it once you know what the agent does in your repository.

Try it yourself

This walkthrough sets up the runner on your own machine: pick the platform, start it, approve it with its device code, then use the same CLI to scan from the terminal.

Click through it at your own pace, or open it full screen.

Move the work to your machine without giving up the plan you pay for. Download Safeguard, connect the Claude, ChatGPT or Codex plan you already have, and read the CLI docs before your next merge.

Quick check

Sources

• Replit docs: Agent
• Replit docs: Plan vs. Build Mode
• Replit docs: Version control
• Replit docs: Projects and artifacts
• Replit docs: SSH
• Replit docs: Desktop app
• Dyad repository
• bolt.diy repository
• OpenCode repository
• OpenCode docs: Providers
• Cline repository
• Aider repository
• Goose repository
• Goose docs: Permission modes
• OpenHands repository
• OpenAI Codex repository
• Codex docs: Agent approvals and security
• Claude Code docs: Overview
• Safeguard download page
• Safeguard CLI docs
• Safeguard CLI docs: Interactive terminal

Last reviewed: 21 October 2026.