Comparison
Agent AFK vs. Cursor
Cursor is one of the best AI IDEs ever built. It’s also an IDE you have to sit at. Agent AFK is a CLI daemon: you state a goal, walk away, and a Telegram message lands on your phone when the work is done and verified. Different tools for different moments in your workflow.
IDE presence vs. daemon patience
Cursor’s design center is the developer at the keyboard. The tab completion is instant, the diffs appear inline, and you can steer a running agent mid-task. That tight feedback loop is genuinely excellent when you’re watching. Agent AFK’s design center is the developer who is not watching. Every turn ends in a named terminal state — Done, Blocked, Asking, or Interrupted — and Done must cite evidence: a file path, a commit SHA, a test result. That contract is enforced in code, not prompt, so it cannot be configured away. The verdict, not a log tail, is what arrives on your phone. One tool is built for presence. The other is built for absence. Most serious developers eventually want both.
Feature comparison
Grounded in the actual implementations, not marketing copy.
| Dimension | Cursor | Agent AFK |
|---|---|---|
| Primary workflow | IDE-first: you open Cursor, write instructions, watch the agent edit files inline, and steer it as it works. Presence is assumed. | CLI daemon: you state a goal, the agent runs to a named terminal state, and the verdict arrives on your phone via Telegram. Absence is the design center. |
| How a task ends | A diff appears in the IDE. You review, accept or reject inline. No structured terminal state — you decide when it’s done. | One of four terminal states: Done, Blocked, Asking, or Interrupted. Done requires an Evidence pointer to a file, commit, or test result. Injected in code — no config can remove it. |
| Tab / inline autocomplete | Best-in-class. Cursor Tab predicts multi-line changes and next-cursor jumps in under 200 ms. A genuine productivity multiplier for daily editing. | Not an editor. No inline autocomplete. Agent AFK is for goal-level tasks, not keystroke-level assistance. |
| Async notification | Cloud Agents (formerly Background Agents) notify via email, Slack, and cursor.com/agents dashboard. Can be triggered from web, iOS, Slack, GitHub, and Linear without the IDE open. | Telegram push: the verdict lands on your phone whether the editor is open or not. Reply to answer Asking, approve, or interrupt. |
| License | Closed source. Proprietary Anysphere product. | Apache-2.0. Fully open source. No feature gates. |
| Pricing model | Subscription: Hobby free, Pro $20/mo, Pro Plus $60/mo, Ultra $200/mo, Teams Standard $40/user/mo (Premium $120/user/mo). Credit-based pools deplete with heavy agent use; on-demand overage billed in arrears. | Free. Bring your own API key. You pay your model provider directly at market rates. No seat fees, no credit pools, no overage surprises. |
| Model providers | Multi-model: Claude, GPT, Gemini, and Cursor’s own Composer/Grok models. Routing is managed by Cursor; BYOK available on paid plans. | Anthropic + any OpenAI-compatible endpoint + local models (Ollama, LM Studio, etc.). Each pipeline step can target a different provider or cost tier. |
| IDE / editor integration | Cursor IS the editor — a full VS Code fork. All VS Code extensions, themes, and keybindings transfer. Inline diffs, live UI preview, language server feedback in context. | Editor-agnostic CLI. Runs alongside any editor or no editor. No inline diffs or UI preview. Pair it with whatever editor you already use. |
| Codebase context | Full semantic vector index of your project. RAG pulls relevant chunks into every request automatically. Can lag on very large monorepos (1 M+ LOC) after rapid pushes. | Dynamic filesystem exploration via tool calls (ls, grep, cat). Always reads current disk state, never a stale cache. Slower on small edits; more reliable on deep cross-file refactors. |
| Orchestration skills | Project rules files (.cursor/rules/), marketplace skills, and Automations (event-triggered agents). Rules are always-loaded — every request pays the token cost regardless of relevance. | 24 skills ship in the box: /mint (spec → plan → build → verify), /diagnose, /ship, /review, /fix-pr, and more. Auto-routed by task shape. Full body loads only when a skill fires — no idle token tax. |
| Cross-session memory | Memories feature (beta). Conversation history per agent session. No structured queryable fact store across sessions. | SQLite with FTS5 full-text search. Durable fact archive survives context compaction and is queryable across sessions. Delivered via system prompt for higher model adherence. |
| Unattended / daemon operation | Cloud Agents run in cloud VMs and create PRs asynchronously. Triggered from Cursor UI, Slack, GitHub, Linear, or cursor.com/agents. Not designed for programmatic triggering from external scripts or CI. | Background daemon runs locally, persists across reboots, and can be triggered from any shell or scheduled with cron. Full programmatic access — pipe it into whatever automation you already have. |
Where Agent AFK pulls ahead
Genuine architectural differences, not marketing claims.
Works while you’re not watching
Every turn ends in Done, Blocked, Asking, or Interrupted — one of four, every time. Done must carry an Evidence line: a file path, commit SHA, or test result. The verdict, not a scrollback dump, arrives on your phone via Telegram. You can kick off a task before you sleep and wake up to a receipt, not a question of whether it finished.
Completely free, Apache-2.0
No subscription, no credit pools, no overage charges. Agent AFK is open source under Apache-2.0. You bring your own API key and pay your model provider directly at published rates. The full runtime — all 24 skills, the daemon, Telegram integration, cross-session memory — is free with no feature gates. You can read, fork, and modify every line.
24 auto-routed orchestration skills
/mint runs spec, research, plan, parallel build, and verify — pausing for approval before it writes. /diagnose forks parallel hypotheses into isolated worktrees. /review dispatches agents across security, correctness, API compat, and coverage. /fix-pr pulls review feedback and pushes the fix. Skill routing fires automatically by task shape. Full skill bodies load only when needed — no idle token cost.
Any model provider, including local
Point Agent AFK at Claude, GPT-4o, Gemini, Mistral, Grok, or a local Ollama instance with the same configuration. Each pipeline step can target a different provider or cost tier. Cursor routes through its own backend — BYOK is available but usage flows through Cursor’s infrastructure. With AFK, the request goes directly from your machine to your provider.
Where Cursor pulls ahead
Honest. Cursor is a genuinely excellent tool with real strengths.
Best-in-class tab completion
Cursor Tab is genuinely the fastest and most context-aware inline autocomplete available. It predicts multi-line edits, next cursor jumps, and cross-file changes in under 200 ms, powered by Cursor’s proprietary Fusion model trained with reinforcement learning. If you spend most of your day editing code line by line, nothing else comes close. Agent AFK has no inline autocomplete at all.
IDE-native visual feedback loop
Cursor IS the editor. Diffs appear inline, you accept or reject changes with a click, the language server surfaces type errors in real time, and you can see a UI change the moment it renders. For frontend work — iterating on a layout, watching styles change in the browser — the feedback loop Cursor provides is orders of magnitude faster than any CLI agent.
Lowest friction for VS Code users
Cursor is a VS Code fork. Your extensions, themes, keybindings, and muscle memory transfer in one click. If your team is already on VS Code, the migration cost is near zero. Agent AFK is a CLI tool with a learning curve — you need to be comfortable in a terminal and think in goals rather than keystrokes.
Frequently asked questions
- Is Agent AFK a Cursor alternative?
- It depends on what you need Cursor for. If you want inline autocomplete and a visual editing experience, Agent AFK is not a replacement — it has no editor at all. If you want to delegate goal-level tasks to an agent that runs autonomously, ends every turn in a verified receipt, and sends you a Telegram when it’s done, Agent AFK fills that role. Most developers use both: Cursor for active editing, Agent AFK for tasks they want to run while away.
- Can I run Agent AFK and Cursor at the same time?
- Yes. Agent AFK is a CLI tool that stores its state in ~/.afk/ and runs independently of any editor. You can run Cursor for your active editing session and kick off Agent AFK tasks in a terminal pane alongside it. They operate on the same files without conflict as long as they’re not writing to the same file simultaneously — the same constraint that applies to any two tools working in a shared repo.
- Why is Agent AFK free when Cursor costs $20–$200/month?
- Agent AFK is Apache-2.0 open source. The runtime is free; you pay your model provider (Anthropic, OpenAI, etc.) directly at their published API rates. Cursor bundles model compute into a subscription and handles provider relationships on your behalf — a convenience with a cost. With Agent AFK, what you spend on model inference is transparent and goes entirely to the provider, not to an intermediary.
- How does Agent AFK vs Cursor differ for long-running tasks?
- Cursor Cloud Agents run in cloud VMs and can work asynchronously, with notifications via email, Slack, and the cursor.com/agents dashboard. Agent AFK’s daemon runs locally, persists across reboots, and sends the final verdict to your Telegram — no cloud VM cost. For tasks you want to run on your own machine or a remote server over SSH, Agent AFK is the simpler setup.
- Does Agent AFK work without an IDE?
- Yes — that’s the point. Agent AFK is a pure CLI tool. It runs in any terminal, on any machine with a shell, including remote servers over SSH and CI environments. It pairs with whatever editor you already use, or no editor at all. Cursor requires its own fork of VS Code.
- Is Agent AFK better than Cursor for backend or infrastructure work?
- For tasks that are largely invisible — migrations, refactors, test generation, deployment scripts, log triage — Agent AFK’s daemon model is a natural fit. You describe the goal, walk away, and come back to a Done verdict with evidence. Cursor’s strength is the interactive loop while you’re present. Neither is universally better; the right choice depends on whether you’re in the room.
- What is the open-source Cursor alternative for teams?
- Agent AFK is Apache-2.0 open source — you can audit, fork, and self-host the full runtime. Cursor is proprietary. For teams that need to inspect what their AI agent is doing at the code level, or that have data-handling policies that preclude a closed-source IDE, Agent AFK is the straightforward open-source option.
Compare other tools
See how Agent AFK compares across the landscape.