Open source alternative to Cursor
Last verified
Run AI agents across Claude Code, Codex, and Pi from one Apache-2.0 desktop app with shared memory, skills, and local-first file storage.
Cindy authorizes your existing coding plan once and runs all supported agent tasks inside its workspace. You gain persistent memory, skills, and multi-agent orchestration without changing your billing arrangement.
You use only one model and do not need cross-agent memory or multi-agent coordination. A single Claude Code or Codex terminal session is simpler for single-tool users.
Skills and memory rules can be set once by an admin and distributed to every team member on sign-in. Teams can encode coding standards, review patterns, and reusable workflows without each member managing their own prompt library.
Your team is under 3 people and everyone already works with the same model configuration. The overhead of centralized skill distribution adds little value at very small scale.
Tasks that benefit from a planning pass, parallel execution, and independent review can be structured as a multi-agent workflow inside Cindy. Different backend and model pairs handle each role; Cindy holds context and acceptance criteria across all of them.
Your tasks are short, linear, and completed by a single agent pass. Multi-agent orchestration adds coordination overhead that is wasted on simple request-response work.
The iOS, iPadOS, and Android apps connect to your desktop session. You can approve sensitive actions, check progress, and redirect the agent from your phone while it runs on your machine.
All your work happens during active desk time. Mobile control adds nothing if you are always present at the machine when the agent is running.
Every major AI coding agent maintains its own isolated context. Switching from Claude Code to Codex or back means re-briefing the agent, re-loading workspace state, and starting memory from scratch. For developers who rely on multiple models for different parts of a task, this context-reset cost is constant friction.
Paid commercial tools compound the problem. Cursor charges its own subscription on top of the model costs you already pay, and it keeps your working context inside a proprietary system. Teams that want to share AI working standards across members have no central way to distribute memory, skills, or working rules without adopting an additional paid platform.
Switch between Claude Code, Codex, and Pi mid-task without resetting memory, skills, or tool state. The workspace, memory, and skills persist across all supported agent backends, so work continues from where it left off even after a model or backend switch.
One task can be planned by a planner agent, executed in parallel by several worker agents on different backend-and-model combinations, then reviewed by a separate quality-gate agent. Cindy holds the workspace, context, and acceptance criteria across all three roles throughout the task.
Files, code, and chat history stay on your computer by default. Inference requests go to the AI Gateway you configure, but workspace files are not uploaded to Cindy's cloud. The README states this explicitly: your workspace files are not stored in the cloud.
Every file edit starts in an isolated workspace before touching your original files. Changes surface in a review panel for line-by-line approval, and checkpoints let you roll back to an earlier state and try a different approach. Cindy pauses at critical or irreversible decisions for your approval before proceeding.
Connect Slack or Feishu and @ Cindy directly; tasks run on your desktop and results return to the chat thread. iOS, iPadOS, and Android apps let you check progress, ask follow-ups, and approve actions from your phone while the agent works on your machine.
Connect internal tools and business systems through custom MCP configurations. Skills encode a way of working once, then distribute across team members when they sign in. The client source is Apache-2.0, so custom agent backends and plugins can be built and contributed back.
Cursor is a proprietary AI-powered code editor built on VS Code; Cindy is an open-source agent layer that runs on top of models you already subscribe to. The core decision is whether you want an AI-native editor or an agent routing layer that unifies multiple agent backends.
| Feature | Cindy | Cursor |
|---|---|---|
| License | Apache-2.0 | Proprietary |
| Self-hosting | Gateway only (teams/enterprise) | No |
| Editor | Standalone desktop app | VS Code fork |
| Agent support | Claude Code, Codex, Pi (and more) | Claude, GPT, Gemini (built-in) |
| Memory persistence | Across agent backends | Per-session, editor-local |
| Pricing | Free software; optional managed service from $20/mo | Free tier; paid plans from ~$20/mo |
| Mobile | iOS, Android (control local sessions) | No |
| IM integration | Slack, Feishu | No |
Cindy is the better choice when you already subscribe to Claude Code or a Codex Coding Plan and do not want to pay a second tool for agent features. Its persistent memory and cross-agent skills mean a correction made in one session carries forward to every subsequent model you use. The local-first data model keeps your workspace files off Cindy's cloud.
Cursor is the stronger choice when your primary workflow is active coding inside an editor. Cursor's tab completion, inline diffs, and VS Code extension ecosystem are deeper than Cindy's editor integration. If you spend most of your time in an editor rather than delegating longer tasks to an agent, Cursor's in-editor AI experience is more fluid.
Where Cindy pulls ahead for multi-step delegation is its orchestration model: planning, parallel execution, and review by separate agent roles is built in, while Cursor is oriented around single-turn or short-context interactions. Teams that need to distribute AI working standards centrally also have more tooling through Cindy's team skill and credit management features.
Install from source with Node.js 22.x, pnpm 10.x, and Git LFS.
```bash
git clone https://github.com/makecindy/cindy.git
cd cindy
git lfs pull
pnpm install
```The software is free to download and use under Apache-2.0. Bring your own API key or authorize an existing Claude Code or Codex plan at no extra cost. Cindy's optional managed model service starts at $20 per month if you prefer to skip key management.
Cindy is an open-source alternative to proprietary AI coding tools like Cursor. Where Cursor is a proprietary IDE with bundled AI features, Cindy is an open-source agent layer that runs on top of models you already subscribe to. If you need deep VS Code integration, Cursor remains the stronger choice; if you want multi-agent continuity, data ownership, and no duplicate subscription, Cindy addresses that directly.
Yes. Connect any OpenAI-compatible endpoint, Ollama, vLLM, a service inside your VPC, or an official provider API key. The app also supports running without a Cindy cloud account by choosing Skip Sign-In on the login screen, which enables local agents while keeping server-backed features unavailable.
Team admins configure models, daily credit limits, and fast-mode settings once. Members inherit the policy when they sign in. The AI Gateway can be self-hosted inside your VPC or managed by Cindy. SSO with Feishu or WeCom is available for enterprise sign-in.
Official distribution builds include TapDB usage analytics associated with your account ID. The README documents how to remove analytics when building from source: mobile analytics are off by default without build-time credentials, and desktop analytics can be stripped by removing the initTapdb() call in the renderer. Chat content and workspace files are not collected regardless of the analytics setting.
Alternative to
Conductor
Open-source ADE for Claude Code, Codex, and Cursor in one thread
Alternative to
Cursor
Open source AI code editor for multi-agent development
Alternative to
Tokenade
Cuts LLM context use by up to 98% per session via local MCP sandbox
Alternative toConductor
One desktop UI for all your AI coding agents.
Alternative to
NotebookLM
Interactive study boards for any topic, no new subscription needed
Alternative to
Claude Code
Native Zig CLI coding agent, 7.8 MiB, any AI model.
Featured
Alternative to
Grok Bot
AI teammates you own: your keys, your model, your machine.
Alternative toClaude Managed Agents
Open-source agent deployment API. Self-host or use Omnara Cloud.
Alternative to
Superhuman
AI email assistant that drafts replies and clears your inbox
The projects we add and every new guide. Free, unsubscribe any time.
Claude Code to 
OpenCode
Jira to 
Windshift
Notion to 
AppFlowy
Slack to 
Mattermost
Linear to 
GitLab
Wispr Flow to 
Handy
CapCut to 
Concat
Grok Bot to 
rakazo
Superhuman to 
Inbox Zero
Airtable to 
AITable
Muse to 
OpenClaw
GitHub Copilot to 
Cline
Datadog to 
Netdata
Microsoft Teams to 
Rocket.ChatConfluence to 
Docmost
Pinecone to 
Qdrant
Zapier to 
n8n
Devin AI to 
OpenHands
Firebase to 
Supabase
1Password to 
KeePassXC
Contentful to 
Strapi
Adobe Premiere Pro to 
Shotcut
ChatGPT to 
AnythingLLM
LangSmith to 
Langfuse
