Yes. The CLI is open source and MIT licensed, runs locally, and needs no account. Taskless Cloud is free for individual developers and small teams, with usage caps.

Is this another AI code reviewer?

No. Taskless creates deterministic rules from your corrections that produce the same result every time, unlike AI code reviewers which give different feedback each run. It enforces your team's decisions with real analysis, not AI opinions.

How is this different from AGENTS.md or Cursor Rules?

AGENTS.md and Cursor Rules inject markdown into the AI's prompt and hope it listens, leading to inconsistent results. Taskless creates rules that are analyzed rather than interpreted using syntax trees and prose analysis, producing deterministic checks that pass or fail the same way every time.

How does Taskless learn from my corrections?

Tag @taskless on a pull request or issue, use the dashboard, or create rules directly from your IDE with Agent Skills. Taskless routes your correction to whatever can decide it: a syntax tree, the prose itself, your own linter, or a check that reads across files.

Do I need to change how my team works?

No. Once the first rule is in place, Taskless runs in the background like any other CI step with nothing new to learn or context-switch into.

AI DevOps · United States

Taskless

Rules for Agents

Try taskless.io (new tab)0 votes. Log in to give Taskless a nod

Community votes: 0
DR by Ahrefs: 22 no change since last check

Ahrefs Domain Rating benchmarked 27 Oct 2026, rebuilt 27 Oct 2026.

Taskless creates deterministic rules for AI coding agents that enforce your team's decisions on every commit, PR, and IDE run.

What it is

Screenshot of the Taskless homepage — taskless.io, as visitors see it

Taskless creates deterministic rules for your AI coding agent harness. You tell Taskless what you want, and Taskless figures out how to enforce it on every commit, every PR, in every IDE, and on every run. Every rule compiles to a deterministic check with its own tests, with no AI model in the loop when it runs. Rules come from your corrections and produce the same result every time, unlike markdown-based approaches like AGENTS.md or Cursor Rules which rely on prompt engineering.

What it is built with

Deterministic rules that produce consistent results across runs
Rules with built-in pass/fail fixtures for verification
Support for 25+ languages
Automatic detection of Claude Code, Cursor, and OpenCode
GitHub integration and runtime rules in Cloud
Rule provenance tracking to PR decisions

Pricing

Pricing model: Freemium

Free CLI (open source, MIT licensed, no account required). Taskless Cloud is free for individual developers and small teams with usage caps.

Taskless metrics

Benchmarks for taskless.io: Ahrefs Domain Rating and Majestic link data, with the change since the last build.
Metric	Value
Domain Rating	22 no change since last check
Trust Flow	5 no change since last check
Citation Flow	23 no change since last check
Referring domains	15 no change since last check
External backlinks	29 no change since last check

Ahrefs Domain Rating benchmarked 27 Oct 2026, rebuilt 27 Oct 2026. Main build topic: Reference/Libraries (5). Majestic benchmarked 27 Oct 2026, rebuilt 27 Oct 2026. Link data built by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Taskless domain build sheet

Open the build sheet

Public RDAP record, last read 27 Oct 2026, 01:50 UTC.
Domain age	4 years
Registered	2 Feb 2022
Expires	2 Feb 2027
Registrar	Cloudflare, Inc
DNSSEC	Not signed

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Questions from the bench

Is Taskless free?: Yes. The CLI is open source and MIT licensed, runs locally, and needs no account. Taskless Cloud is free for individual developers and small teams, with usage caps.
Is this another AI code reviewer?: No. Taskless creates deterministic rules from your corrections that produce the same result every time, unlike AI code reviewers which give different feedback each run. It enforces your team's decisions with real analysis, not AI opinions.
How is this different from AGENTS.md or Cursor Rules?: AGENTS.md and Cursor Rules inject markdown into the AI's prompt and hope it listens, leading to inconsistent results. Taskless creates rules that are analyzed rather than interpreted using syntax trees and prose analysis, producing deterministic checks that pass or fail the same way every time.
How does Taskless learn from my corrections?: Tag @taskless on a pull request or issue, use the dashboard, or create rules directly from your IDE with Agent Skills. Taskless routes your correction to whatever can decide it: a syntax tree, the prose itself, your own linter, or a check that reads across files.
Do I need to change how my team works?: No. Once the first rule is in place, Taskless runs in the background like any other CI step with nothing new to learn or context-switch into.

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