A Cursor alternative for the agent, on the model you choose

Octomind is not an editor. It is the agent: it reads the repo, edits files, runs the tests and reports back, from your terminal, CI or your own backend. Run it on DeepSeek, GLM, Claude, GPT or a model on your own machine, with your own keys.

curl -fsSL https://octomind.run/install.sh | bash

Verdict: stay with Cursor or switch to octomind

Stay with Cursor if

  • You want AI inside the editor. Cursor Tab suggests multi-line and cross-file edits as you type. Octomind has no editor and no autocomplete.
  • You want the agent to propose changes and ask before it runs a command. The interactive Cursor CLI does that; octomind has no approval prompts.
  • Your plan's weekly pool covers your usage, or you are on a legacy Pro plan that still works for you.
  • You want cloud agents, automations and PR review from one vendor. Cursor includes them from Premium ($30 a month).

Switch to octomind if

  • You want any model under one config, open and local ones included. Cursor's own-key support covers five providers, for chat models only.
  • You want to pay your model provider and nobody else. The octomind binary has no plan and no seat; Cursor Teams adds $0.25 per million tokens even on your own key.
  • You run the agent from scripts, CI or your own service: JSONL output, an exit code (75) for a spend stop, a WebSocket server and multi-step workflows in TOML.
  • You want source you can read and fork. Octomind is Apache-2.0; Cursor's terms forbid reverse engineering it or building derivative works.

Cursor vs octomind

Checked
AspectCursoroctomind
Price to startFree has limited agent requests. Plus is $8 a month with Cursor's own models only and no own keys. Premium, $30 a month, adds third-party models at API list price from prepaid credit. Prices as of October 2026. cursor.comThe binary is free under Apache-2.0. You pay your model provider per token, or no API fees with a local model. Cargo.toml:6
Models you can useCursor's own Grok 4.7, 4.6, 4.5 and Composer 2.5 draw from a weekly pool shared with Grok. Claude, GPT and Gemini come on Premium and up, billed separately. cursor.comAny provider:model string across 32 prefixes: anthropic:, openai:, deepseek:, zai:, moonshot:, openrouter:, local: for a server on your machine. Switch mid-session with /model. doc/usage/04-providers.md:215
Your own API keysOpenAI, Anthropic, Google, Azure OpenAI and AWS Bedrock, for chat models only; Tab stays on Cursor's models. Requests route through Cursor's servers, and Teams pay $0.25 per million tokens on top. cursor.comExport the provider key or put it in .env. Octomind calls the provider from your machine, with nothing added to the bill. doc/usage/04-providers.md:100
Editor and autocompleteA full editor built on the VS Code codebase. Tab suggests code as you type, including multi-line and cross-file edits. cursor.comNone. A plain line prompt in the terminal. Editors that speak the Agent Client Protocol can launch it with octomind acp. /docs/usage/12-editor-integration
Scripts and CICursor CLI: agent -p for print mode, --force to let it write files, text, json or stream-json output. Scripts sign in with CURSOR_API_KEY. cursor.comPipe a task into octomind run --format plain or jsonl, add --schema for a JSON answer. octomind server opens a WebSocket backend; octomind workflow runs multi-step TOML pipelines. src/commands/run.rs:41
Spend controlIncluded usage is a weekly pool. Paid usage beyond it has a monthly additional usage limit you set in the billing dashboard. cursor.commax_request_spending_threshold stops a request in interactive and headless runs, and a headless run that hits it exits with code 75. An in-flight call can still overshoot. src/session/chat/session/core.rs:182
Source codeProprietary. The terms forbid reverse engineering the service or making derivative works of it. cursor.comApache-2.0. Read it, fork it, build it with cargo. Cargo.toml:6
Project instructions.mdc rule files in .cursor/rules, plus AGENTS.md in the project root and in subdirectories. cursor.comAGENTS.md in the directory you start in. .cursor/rules and nested AGENTS.md files are not read. src/session/chat/session/utils.rs:22
MCP serversstdio, SSE and Streamable HTTP, configured in .cursor/mcp.json or ~/.cursor/mcp.json, with OAuth. cursor.comstdio and Streamable HTTP with OAuth discovery, as [[mcp.servers]] blocks in TOML. No SSE. /docs/usage/07-mcp-tools

An open model in octomind: 24 of 25 real pull requests solved

Cursor was not part of this run, so it says nothing about Cursor. What it shows is the agent part on an open model. On octobench, 25 tasks taken from pull requests merged in open-source projects and checked by their own hidden tests, octomind ran glm-5.2 through Ollama cloud and solved 24 for $63.43 in 3.6h of wall time. That was the most tasks solved of the four agents in the run. Ollama cloud has no prompt caching, so the dollar figure is a worst case. It is one run on our own benchmark; every case, trace and judge verdict is public at a pinned commit, so you can rerun it.

Full octobench results and how to reproduce them →

How to switch from Cursor

  1. Install octomind and pick a model

    One script installs the binary to ~/.local/bin on macOS or Linux. Export a key for any provider you use. For a model on your own machine, run Ollama and use local: with no key.

    curl -fsSL https://octomind.run/install.sh | bash
    
    export DEEPSEEK_API_KEY=sk-...        # or ANTHROPIC_API_KEY, OPENAI_API_KEY, OPENROUTER_API_KEY
    # local model: Ollama on localhost:11434, nothing to export
    # octomind run developer:general -m local:qwen3-coder
  2. Bring your rules and MCP servers over

    Cursor already reads AGENTS.md, so keep one AGENTS.md in the project root and both tools share it. Paste the text of your .cursor/rules/*.mdc files into it; octomind does not read .mdc. Each server in .cursor/mcp.json becomes a [[mcp.servers]] block in a .toml file in the octomind config folder.

    # ~/.local/share/octomind/config/mcp-servers.toml
    # was in .cursor/mcp.json: "playwright": { "command": "npx", "args": ["@playwright/mcp@latest"] }
    [[mcp.servers]]
    name = "playwright"
    type = "stdio"
    command = "npx"
    args = ["@playwright/mcp@latest"]
    timeout_seconds = 30
    tools = []
    auto_bind = ["developer:general"]
  3. Run it next to your editor, then in CI

    Keep Cursor or any editor open as your editor and run octomind in a terminal in the same repo. Do not let two agents edit the same working tree at once. For scripts, pipe the task in and cap the spend per request; a run that hits the cap exits with 75.

    cd ~/your/project
    octomind run developer:general -m deepseek:deepseek-flash      # interactive
    
    echo "The test suite fails. Find the bug, fix it, run the tests." \
      | octomind -c max_request_spending_threshold=0.50 \
          run developer:general -m deepseek:deepseek-flash --format plain
    echo "exit $?"                                                # 75 = spend stop

Other options worth a look

  • Zed

    A GPL-3.0 code editor whose edit predictions can run on a local model through Ollama. It suits you if what you want from Cursor is autocomplete in an open-source editor.

  • Cline

    An Apache-2.0 coding agent for VS Code, JetBrains and the terminal that shows every edit as a diff with checkpoints and runs local models through Ollama or LM Studio. It suits you if you want the agent inside your editor.

  • opencode

    An open-source coding agent with a terminal interface, a desktop app and an IDE extension, on any LLM provider you have a key for. It suits you if you want a polished interface around a terminal agent.

Where Cursor is better

  • No editor and no autocomplete

    Octomind does not suggest code as you type, show inline diffs or open files for you. It writes edits straight to disk from a line prompt. Keep an editor for that, Cursor included, and review with git diff. Read more →

  • No approval prompts before tools run

    Tools run without asking. Policy lives in .agents/guardrails.toml as guards that block matching calls. --sandbox limits writes on Linux and macOS, is off by default, and does not limit network access, which the Cursor CLI sandbox can. Read more →

  • No cloud agents or PR review bot in the binary

    The open-source binary runs where you start it. Cursor Premium includes cloud agents, automations and Bugbot code review. Octomind Cloud is a separate paid product. Read more →

  • -m changes only the main model, and some defaults are hosted

    Supervisor and compression calls stay on octohub:auto until you set [supervisor.model] and [compression.model]. Telemetry is on by default; turn it off with OCTOMIND_TELEMETRY=0 or DO_NOT_TRACK=1. The first run of developer:general fetches the agent registry and its tool binaries, so it needs the network. Read more →

  • Your .cursor/ setup does not come with you

    Octomind reads one AGENTS.md from the directory you start in: not .mdc rules, not nested AGENTS.md files. Cursor hooks, skills and subagents need rebuilding as guardrails, .agents/skills/ or tap agents. Read more →

Questions

What is the best Cursor alternative?

It depends on which part of Cursor you want to keep. For autocomplete in an open-source editor, Zed. For an agent inside VS Code or JetBrains with diffs and checkpoints, Cline. For the agent on its own, in your terminal, CI or backend on any model, octomind or opencode.

Is there an open source Cursor alternative?

Yes. Octomind and Cline are Apache-2.0, Zed is GPL-3.0, and opencode is open source too. Cursor is proprietary, and its terms forbid reverse engineering or derivative works.

Does octomind have autocomplete like Cursor Tab?

No. Octomind is a terminal agent: you give it a task and it reads, edits, runs and reports. It does not predict code as you type. If Tab is why you use Cursor, keep Cursor as your editor.

Can I use Cursor and octomind together?

Yes. Use Cursor as the editor and run octomind in a terminal or in CI on the same repo, just not both agents on the same working tree at once. Both read AGENTS.md.

Can I run a Cursor alternative on a local model?

Yes. local: points at an OpenAI-compatible server on localhost:11434 by default, so Ollama works with no key, and LM Studio works with LOCAL_API_URL. Set the supervisor and compression models to local too if no request should leave your machine.

How does the cost compare?

Cursor's paid plans run from $8 to $200 a month, with third-party models at API list price from Premium ($30) up. The octomind binary costs nothing; you pay your provider per token, or only for your hardware with a local model.

Try it on the job Cursor does for you now.

Apache-2.0 and any model. Install it, then follow the three steps above.

curl -fsSL https://octomind.run/install.sh | bash