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Cindy

Open-source agent platform that orchestrates Claude Code, Codex, and other coding agents on a shared workspace

Freemium· FREE: $0 · PLUS: $20 · SUPER: $100 · ULTRA: $200AgentsModel-agnostic: Claude (via Claude Code), GPT (via Codex), Grok, Gemini, DeepSeek, Kimi, GLM, Qwen, plus local models via OpenAI-compatible endpoints and Ollama
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In short

Cindy is an open-source runtime that orchestrates multiple coding agents like Claude Code and Codex within a single local workspace. It is best for developers who want to run parallel plan/execute/review pipelines without vendor lock-in, featuring line-by-line diff approval and integrations with Slack and GitHub.

Best for

Individual developers and small engineering teams who already use Claude Code or Codex, want to run agents in parallel, and refuse to lock their workflow into a single vendor's ecosystem.

Skip if

Non-technical users who want a hosted chatbot, or enterprises that need mature SSO and governance today rather than waiting for the Team tier.

Cindy is an open-source (Apache-2.0) agent runtime that sits above individual coding assistants and lets you drive them from one workspace. Instead of picking a single vendor lock-in stack, you attach one or more 'harnesses' — currently Claude Code and OpenAI Codex, with more planned — and route each phase of a task (planning, editing, review) to whichever harness or model handles it best, without losing memory, tools, or working files when you switch. The platform is local-first: repositories, credentials, and intermediate state stay on your machine by default, and every agent action lands in an isolated workspace that you approve line-by-line before it touches your real branch. Multi-agent parallelism is a first-class primitive, so you can fan out plan/execute/review across models and reconcile the results. Cindy also ships integrations with the surfaces engineering teams actually work in — Slack, Feishu, GitHub, Jira, and remote SSH hosts — plus support for MCP tools, custom skills, and voice interfaces, so a task kicked off from a Slack thread can end as a reviewed PR. Typical workflows include long-running refactors that hand off between a strong planner and a cheap executor, autonomous bug triage against a live repo, and running the same task through two agents in parallel to compare diffs. The Free tier is fully functional if you bring your own provider keys; the Plus subscription bundles a managed gateway across all major frontier and open-weight models so you don't have to juggle billing accounts.

Editor's take

Cindy is the clearest attempt yet at a vendor-neutral shell around the coding-agent wars — you keep Claude Code and Codex, add whatever comes next, and don't rewrite your workflow each time. Local-first plus line-by-line approvals means it fits how careful engineers actually work. The gap is governance: Plus is a solo tool, Enterprise is a sales call, and there's nothing in between yet.

— The AI Tool Bible editorial team

Pros

  • Apache-2.0 licensed with a public GitHub repo — self-host or fork without vendor risk
  • Harness abstraction lets you swap Claude Code, Codex, and future agents mid-task without losing workspace state
  • Local-first: code, keys, and diffs stay on your machine unless you opt into the managed gateway
  • Isolated workspaces with line-by-line diff approval before any change hits your real branch
  • Native parallel multi-agent orchestration for plan/execute/review pipelines
  • First-party integrations with Slack, Feishu, GitHub, Jira, and SSH so agents plug into real team workflows
  • Managed Plus tier gives one bill covering GPT, Claude, Grok, Gemini, DeepSeek, Kimi, GLM, and Qwen

Cons

  • ⚠️ No public developer API to embed Cindy inside other products — MCP is inbound only
  • ⚠️ Value depends on having Claude Code or Codex credentials already; not a standalone coding model
  • ⚠️ Team tier with SSO and credit governance is still 'coming soon', so mid-size orgs face a gap between Plus and Enterprise
  • ⚠️ Multi-harness orchestration adds cognitive overhead versus using one agent directly
  • ⚠️ Ecosystem is young — fewer community skills and playbooks than Cursor, Cline, or vanilla Claude Code

Use cases

Multi-agent code refactorsParallel plan / execute / review pipelinesAutonomous bug triage on a live repoSlack-triggered coding tasksJira ticket to pull request automationCross-model diff comparisonLocal-first agent execution with human approvalRemote SSH server administration via agentMCP tool orchestration across harnesses

Frequently asked

Which coding agents does Cindy support?
Cindy currently supports Claude Code and OpenAI Codex as harnesses, with plans to add more. It is model-agnostic and can also connect to local models via OpenAI-compatible endpoints and Ollama.
Is Cindy open source and what is the licensing?
Yes, Cindy is open source under the Apache-2.0 license with a public GitHub repository, allowing users to self-host or fork the project without vendor risk.
How does Cindy handle code safety and approvals?
The platform is local-first, keeping repositories and credentials on your machine. Every agent action lands in an isolated workspace where you must approve changes line-by-line before they touch your real branch.
What integrations are available for team workflows?
Cindy ships with integrations for Slack, Feishu, GitHub, Jira, and remote SSH hosts. It also supports MCP tools, custom skills, and voice interfaces to connect agents to real team workflows.
What are the pricing tiers for Cindy?
Cindy offers a Free tier for users with their own provider keys, plus paid subscriptions: Plus at $20, Super at $100, and Ultra at $200. The Plus tier includes a managed gateway for various models.

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