Aidevops is live · free · last verified 31 Oct 2026 · viability monitor
Aidevops
AIDevOps is an open-source AI DevOps harness that plans, builds and verifies code in isolated Git worktrees before merge.
Nothing else in this price bracket gives you worktree isolation, gated merges and a signed audit footer per task. Free and MIT-licensed, with the issue and PR history public, so you can check the receipts before you install. It won't rescue a team that never reads a pull request diff, and it stays terminal-first.
Verdict generatedVerified 1h ago · liveness 54/100 · cite: rightaichoice.com/tools/aidevops
- Developers already using OpenCode, Claude Code or Codex CLI who want supervised autonomous delivery
- Solo founders automating DevOps, hosting, DNS, SEO and content in one free harness
- Agencies needing an auditable Git trail — issue, PR, review, signature footer — for AI-assisted client work
- Power users who prefer a self-hosted MIT-licensed tool over a per-seat SaaS dependency
- Beginners who want a no-code AI assistant with a visual interface
- Teams needing a hosted dashboard for non-technical stakeholders
- Anyone unwilling to work with Git branches, worktrees and pull-request review
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip AIDevOps if you want a visual builder or a hosted dashboard your non-technical stakeholders can log into — it is a terminal-first Git harness that expects you to be comfortable with branches, worktrees and pull-request review.
AIDevOps is MIT-licensed open source with a single published $0/mo tier, so there is no seat price to compare — your real spend is model tokens, which you pay to OpenAI, Anthropic or your OpenCode Zen account directly, plus whatever those tokens cost against your own API budget. Against seat-priced agent SaaS that bundles inference into a per-user fee, this is cheaper for small teams and harder to forecast at high token volume.
In short
Aidevops — AIDevOps is an open-source AI DevOps harness that plans, builds and verifies code in isolated Git worktrees before merge. Best for Developers already using OpenCode, Claude Code or Codex CLI who want supervised autonomous delivery, Solo founders automating DevOps, hosting, DNS, SEO and content in one free harness, Agencies needing an auditable Git trail — issue, PR, review, signature footer — for AI-assisted client work. Free to use.
What is Aidevops?
Aidevops — AIDevOps is an open-source AI DevOps harness that plans, builds and verifies code in isolated Git worktrees before merge. Best for Developers already using OpenCode, Claude Code or Codex CLI who want supervised autonomous delivery, Solo founders automating DevOps, hosting, DNS, SEO and content in one free harness, Agencies needing an auditable Git trail — issue, PR, review, signature footer — for AI-assisted client work. Free to use.
AIDevOps (also written aidevops or aiops) is a free, MIT-licensed OpenCode plugin and CLI that turns a terminal AI assistant into a supervised delivery system for code, infrastructure and ops work. Describe the outcome in plain words or fire a slash command like /full-loop: the harness recalls memory, checks for duplicate work, routes the task to a specialist agent, builds inside an isolated Git worktree, designs CI/CD, opens a pull request and merges only when quality gates pass. Current build is v3.39.103, and it runs alongside OpenCode, OpenCode Desktop, Claude Desktop, Claude Code, the Codex app and CLI, Cursor and Zed on macOS and Linux. The scale is unusual for a one-person project. The vendor reports 17 main agents, 2,250+ subagents, 2,060+ helper scripts, 100+ slash commands, 150+ integrations and 25+ MCP servers, backed by 400+ GitHub stars, 25,700+ commits and 14,800+ pull requests. A pulse supervisor dispatches background workers around the clock, gated to repos marked pulse: true and issues labelled auto-dispatch, while budget-aware routing moves GitHub reads to REST when GraphQL limits run low. Efficiency and auditability are the design spine. Deterministic helper scripts collect facts first so the model reasons less, TOON-ready context is documented at 20-60% token reduction versus JSON/YAML for indexes and registries, and each task gets its own worktree branch and PR linked back to its issue. Security sits in the loop: secret handling, prompt-injection guardrails, supply-chain scans, linters and cross-model review for high-risk operations, plus signature footers logging version, runtime, model, time and tokens per task, with SSH-signed commits. Public receipts are the pitch: 99.9% of issues closed (17,500+ closed, 17 open), 13,400+ PRs merged from 90.1% of closed PRs, and 330+ workflow labels tracking status, origin, tier and dispatch. It is an engineering harness, not a prompt pack — pick it over per-seat managed agents when you want the Git
Key features
- Plain-language outcome requests the harness plans, builds and verifies
- Slash commands including /full-loop, /onboarding, /routine, /pulse, /runners and /skills
- Pulse supervisor dispatches headless background workers around the clock
- Dispatch gated to repos marked pulse: true and issues labelled auto-dispatch
- Missions and runners turn large goals into verified pull requests
- Isolated Git worktrees with per-task branches so parallel work never collides
- Automatic PR creation, review-feedback handling and gated merge on passing checks
- 17 primary agents plus specialist routing across ops, security, SEO and content
- 2,250+ subagents, 2,060+ helper scripts and 100+ slash commands
- 150+ service integrations and 25+ MCP servers
- TOON-ready context documented at 20-60% token reduction versus JSON/YAML
- Secret handling, prompt-injection defences, linters and supply-chain scans in-loop
- Cross-model review for high-risk operations before merge
- Budget-aware pulse routes reads to REST when GitHub GraphQL limits run low
- Signature footers log version, runtime, model, time and tokens per task
Behind the verdict
Where AIDevOps earns its keep is the boring part every agent demo skips: what happens between "the model wrote something" and "that something is merged." Each task gets its own worktree branch, its own PR, and a merge that only fires on passing checks. In practice that means two background workers can run in parallel without clobbering each other, which is the failure mode I see most often in autonomous coding setups. Pick it if you already live in a terminal assistant (OpenCode, Claude Code, Codex CLI, Cursor, Zed) and want delivery supervision bolted on rather than replaced. Solo founders running hosting, DNS, SEO and content through one harness get a lot of surface area for zero licence cost. Agencies get the audit trail: issue, PR, review thread, signature footer with version, runtime, model, tokens and time. Pass if anyone on the team needs a hosted dashboard to see what happened. There isn't one — the Git platform is the dashboard, and stakeholders who don't read diffs won't get value from it. Skip it too if you want one small tool that does one thing; this is 100+ slash commands and 2,250+ subagents you have to learn, prune and trust. The cost story is real but indirect. Helper-first automation and TOON-ready context are documented at 20-60% token reduction versus JSON/YAML, and budget-aware routing shifts GitHub reads to REST when GraphQL runs low, deferring optional work and pausing dispatch at a circuit-breaker floor. That matters when you're burning model tokens 24/7. Closest comparison is a managed agent platform billed per seat, where you trade the Git-native audit trail for a UI. On a pure single-file refactor, plain Claude Code or Cursor is faster to start. AIDevOps pays off as volume climbs. Watch the operational caveats. macOS and Linux only.
Models under the hood
as of 2026-10-24
Limitations
- AIDevOps is an OpenCode plugin and CLI framework rather than a standalone application — it works with OpenCode, OpenCode Desktop, Claude Desktop, Claude Code, Codex app, Codex CLI, Cursor and Zed, so you always sit underneath another client.
- Install and setup are multi-step (six ordered steps in the docs, deploying agents to ~/.aidevops/agents/ and configuring OpenCode), and the docs note a documented capability may still need local deployment, configuration, authentication or operator approval first.
- Two Jev structured-decision features are described as reversible-retrieval and shadow-triage pilots with no default routing, runtime hooks or compaction changes, so treat them as experiments rather than shipped capability.
- The docs state plainly that the "100x more capable" goal is an ambition to substantiate, not a guaranteed or measured result.
as of 2026-10-11
Researching Aidevops? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Is Aidevops still active?
Aidevops is live · free · last verified 31 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Aidevops? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Aidevops?
What people actually say about Aidevops — is it worth it?
Our community sentiment research written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Aidevops — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 31 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Aidevops 12 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed pricing tiers, features, our verdict, description, who it suits
- — changed pricing page
- — changed description, who it suits, who should skip it, pricing tiers, our verdict, features
- — changed our verdict, who should skip it, description, pricing tiers, summary, features
- — changed limitations, pricing page
- — changed our verdict, limitations, pricing fit, setup time, who should skip it, features, use cases, who it suits, pricing tiers, description, hidden costs, switching in, switching out, integrations, summary, models
Showing the 6 most recent of 12 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Aidevops cost in 2026?
Aidevops: Free to use. Pricing last verified 31 Oct 2026.
Plans compared
Every published Aidevops tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Open Source | Free | — | Developers and small teams already using OpenCode, Claude Code or Codex CLI who want the full supervised delivery loop without a SaaS subscription or per-seat feeAdds: Starting tier and the only published tier: MIT-licensed and $0/mo, with the whole agent library, 2,060+ helper scripts, security guardrails and 150+ integrations included |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Aidevops's pricing actually pencils out — and where peers do it cheaper.
AIDevOps is MIT-licensed open source with a single published $0/mo tier, so there is no seat price to compare — your real spend is model tokens, which you pay to OpenAI, Anthropic or your OpenCode Zen account directly, plus whatever those tokens cost against your own API budget. Against seat-priced agent SaaS that bundles inference into a per-user fee, this is cheaper for small teams and harder to forecast at high token volume.
Has Aidevops' pricing changed?
No plan price for Aidevops has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Aidevops?
Pick Aidevops if you are Developers already using OpenCode, Claude Code or Codex CLI who want supervised autonomous delivery, Solo founders automating DevOps, hosting, DNS, SEO and content in one free harness, Agencies needing an auditable Git trail — issue, PR, review, signature footer — for AI-assisted client work, Power users who prefer a self-hosted MIT-licensed tool over a per-seat SaaS dependency.
Look elsewhere if you are Beginners who want a no-code AI assistant with a visual interface, Teams needing a hosted dashboard for non-technical stakeholders, Anyone unwilling to work with Git branches, worktrees and pull-request review, Windows users — the vendor documents macOS and Linux only.
Skip it if Skip AIDevOps if you want a visual builder or a hosted dashboard your non-technical stakeholders can log into — it is a terminal-first Git harness that expects you to be comfortable with branches, worktrees and pull-request review.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Aidevops actually fits — and what changes day-one when you adopt it.
Installs via brew or npm, runs /onboarding, connects an OpenAI or Anthropic account through opencode auth login, then asks for a pricing page with Stripe checkout
Outcome: The framework plans the work, builds it in an isolated worktree, runs lint and secret scans, opens a PR and merges only after quality gates pass — with the reasoning left in the issue thread
Registers each repo under ~/Git/<owner>/<repo>, marks client repos pulse: true, labels approved work auto-dispatch and sets up recurring /routine jobs for SEO audits and reports
Outcome: Workers pick up approved issues around the clock inside GitHub API limits, each job carries a nonce-stamped dispatch claim, and signature footers record which model ran it and what it cost in tokens
Uses the registered interactive runtime inside the project and calls /skills recommend for a task, then /full-loop to hand off the whole delivery
Outcome: Tasks route to the right specialist agent with a brief and acceptance criteria, high-risk changes get cross-model review, and the runtime inherits prior decisions from the issue thread instead of starting cold
Use cases
- Describe a feature in plain words and get a verified PR merged without babysitting the branch
- Run parallel build tasks in separate worktrees so two agents never edit the same file
- Schedule recurring /routine jobs such as daily SEO audits and content reports
- Run cross-model security reviews and supply-chain scans on pull requests before merge
- Keep round-the-clock GitHub issue and PR automation inside API rate limits with the budget-aware pulse
- Cut token spend on large codebases using TOON-ready context compression
- Manage client projects with issue briefs, milestones and signature-footed audit trails
- Automate infrastructure provisioning, hosting and DNS through service integrations
Setup time & first value
How long it actually takes to get something useful out of Aidevops — broken out by persona, not the marketing-page minute.
For a developer already comfortable in a terminal and using OpenCode, plan 30-60 minutes for the six documented setup steps: install via brew/npm/bun/git clone, start OpenCode in Tabby, connect providers, move repos into ~/Git, enable auto-update and Pulse, then verify with aidevops status and aidevops security. Expect a longer first afternoon if you are new to Git worktrees or are migrating
Switching to or from Aidevops
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a chat-only AI assistant: install the CLI, run aidevops init inside an existing checkout, and the same repo history becomes your delivery trail
- →From manual branch-and-PR Git practice: run aidevops init to add conventions, then /full-loop to let the harness create worktrees and PRs instead of doing it by hand
- →From scattered shell automation scripts: fold them into the 2,060+ helper scripts under .agents/ and call them through slash commands
- →From an older AIDevOps layout: use the guarded aidevops repos migrate-layout plan instead of moving checkouts manually
- →From a cloud-synced repo folder: move canonical clones to ~/Git on the local disk and run aidevops repos clean to drop moved paths
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Aidevops”, and we withheld 6: 6 could not be judged, because “Aidevops” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Aidevops.
Official links
What are the best Aidevops alternatives?
The closest alternatives to Aidevops we list are Shep, Refact.ai and emdash. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Shep | Free | Free | — |
| Refact.ai | Freemium | Pricing not published | — |
| emdash | Free | Free | — |
Alternatives to Aidevops
View all
Shep
Open-source, local-first orchestrator that runs parallel AI coding agents in isolated git worktrees, from a one-line idea to a merged pull request.
Tools that pair well with Aidevops
Common stack mates teams adopt alongside Aidevops, with the specific reason each pairing earns its keep.
Shep
Open-source, local-first orchestrator that runs parallel AI coding agents in isolated git worktrees, from a one-line idea to a merged pull request.
Refact.ai
Open-source autonomous AI coding agent for VS Code and JetBrains that plans, executes, and deploys tasks with step-by-step reasoning.
emdash
Emdash is an open-source agentic development environment for running parallel CLI coding agents in isolated Git worktrees.
Aidevops vs its closest rival
Aidevops's closest head-to-head is with Locus Robotics — These tools serve completely different domains. Locus Robotics is for physical warehouse automation, best for high-volume 3PL operations needing 2-3x productivity gains via AMRs. AIDevOps is an open-source AI coding framework for developers who want autonomous project management and DevOps. Choose based on your industry—logistics vs. software development. Verdict generated
Head-to-head comparisons
Aidevops vs Locus Robotics
These tools serve completely different domains. Locus Robotics is for physical warehouse automation, best for high-volume 3PL operations needing 2-3x productivity gains via AMRs. AIDevOps is an open-source AI coding framework for developers who want autonomous project management and DevOps. Choose based on your industry—logistics vs. software development.
GeneratedAidevops vs Presto Voice
For QSR chains that want to automate drive-thrus with proven ROI and upselling, Presto Voice's enterprise offering (now adopted by Dairy Queen) is the clear choice. For developers seeking an open-source, token-efficient AI framework to autonomously manage code and DevOps, Aidevops is powerful and free. These tools serve completely different markets—choose based on whether you run a restaurant or write code.
GeneratedAidevops vs Truleo
Truleo and Aidevops serve entirely different domains. Truleo is a specialized, paid intelligence platform for law enforcement, integrating with police data systems to automate lead generation. Aidevops is a free, open-source AI DevOps framework for developers to automate coding and project workflows. Choose based on your field: law enforcement needs Truleo; software development teams benefit from Aidevops.
GeneratedFrequently asked questions
Used Aidevops? Help shape our editorial sentiment research.