Okibi is live · free plan, paid from $600/yr · last verified 5 Nov 2026 · viability healthy
Okibi
Okibi generates a sandbox-verified CLI from your product so AI agents can install, run and sign up for it on their own.
Most CLI generators stop at 'it compiles.' Okibi's distinction is running every command in a sandbox and scoring it against your schema — the failure mode agents hit first. A $0 tier with five generations a month is enough to see whether the output is worth $150/mo. If your code lives on GitHub and your buyers include agents, it's a cheap test; if not, it's out.
Verdict generatedVerified 9d ago · liveness 73/100 · cite: rightaichoice.com/tools/okibi
- GitHub-centric API and dev-platform teams shipping an agent-facing CLI
- Teams that want a verified, documented, versioned CLI without building the tooling
- API products whose buyers increasingly include agents working in the terminal
- Teams that need agent sign-up handled, not just command execution
- Teams on GitLab or self-hosted git — Okibi reads repos through a GitHub App
- Projects with no server-side product surface to expose as commands
- Teams that want a one-off script rather than a maintained, versioned CLI
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Skip Okibi if your code lives on GitLab or self-hosted git, or your product has no server-side surface — the pipeline starts from a GitHub App install and needs real server code, OpenAPI, GraphQL or route handlers to produce useful commands.
The Production tier includes 500 authenticated agent users per month — past that it's $2 per additional active agent, which scales with exactly the metric that grows when agents like your product.
Our price-reality note written Oct 11, 2026 quotes $1,500, which no longer matches the verified price table, so it is being re-reviewed and is not shown.
In short
Okibi — Okibi generates a sandbox-verified CLI from your product so AI agents can install, run and sign up for it on their own. Best for GitHub-centric API and dev-platform teams shipping an agent-facing CLI, Teams that want a verified, documented, versioned CLI without building the tooling, API products whose buyers increasingly include agents working in the terminal. Free to start; paid plans from $600/yr.
What is Okibi?
Okibi — Okibi generates a sandbox-verified CLI from your product so AI agents can install, run and sign up for it on their own. Best for GitHub-centric API and dev-platform teams shipping an agent-facing CLI, Teams that want a verified, documented, versioned CLI without building the tooling, API products whose buyers increasingly include agents working in the terminal. Free to start; paid plans from $600/yr.
Okibi builds a compiled command-line interface from your product so autonomous agents can drive it in a terminal without hand-holding. You connect a read-only GitHub App, and Okibi reads server code, OpenAPI specs, GraphQL schemas or plain route handlers in any language. There's also a no-account live preview where you paste an OpenAPI spec link and see the real commands it generates. After a research pass over competitor CLIs, MCP servers and SDKs, Okibi designs a command set: it aims to match what those tools do, then add what none of them have. Every candidate command gets scored and you keep the ones you want. The kept set compiles into a binary, and each command is executed in a cloud sandbox with output checked against your schema, so the whole CLI gets a quality score based on real runs. The build standard is consistent: structured --json output, errors that name the fix, and dry-run on write commands. Shipping is handled for you too — generated docs, versioned releases, a minted changelog when your product changes, and regenerations that preserve your command edits. The one-line install also drops a SKILL.md so a freshly installing agent already knows your product. Okibi Identity goes further: an agent creates an account on its user's behalf, and every request carries short-lived signed proof of who it acts for. This is aimed at GitHub-centric API and dev-platform teams whose buyers increasingly include agents. The nearest comparisons are Speakeasy or Stainless on the SDK and CLI-docs side, or hand-rolling an MCP server. Okibi's bet is that a finished, verified CLI beats an agent assembling API calls from scratch.
Key features
- Generates a compiled CLI from your product's server code, OpenAPI spec, GraphQL schema or route handlers
- Reads repos through a read-only GitHub App (contents + metadata, revocable per repo)
- Works with any repository language
- Paste an OpenAPI spec link for a free, no-account live CLI preview
- Research pass over competitor CLIs, MCP servers and SDKs before designing commands
- Every candidate command scored; you keep the ones you want
- Cloud sandbox verification: each command runs and output is checked against your schema
- Whole-CLI quality score based on real runs, not just compilation
- Structured --json output on every command
- Errors that name the fix, plus dry-run on write commands
- Generated docs and versioned releases with a minted changelog on product updates
- Regenerations preserve your command edits version to version
- One-line install: curl -fsSL https://okibi.ai/install | sh
- Generated SKILL.md so an installing agent already knows your product
- Okibi Identity: agents create accounts for their user with short-lived signed proof
Behind the verdict
The pitch that matters here isn't 'generate a CLI' — plenty of tooling will scaffold one. It's the verification loop. Each command runs for real in a sandbox and its output is checked against your schema, so what you ship is measured by behavior rather than by whether it built. Pick Okibi when your product has a server-side surface worth exposing and your buyers increasingly show up as terminal-running agents. The Free tier is genuinely useful for a private beta: one CLI, three builders, five successful generations a month. Try the no-account live preview first if you want a quick read on command quality before touching a repo. Pass when your code isn't on GitHub — Okibi reads through a GitHub App installation, so GitLab and self-hosted setups are simply not covered. Also pass if you want a one-off script rather than a maintained, versioned artifact with docs and changelogs. The closest alternative depends on what you're missing. If your gap is SDKs and API docs, Speakeasy or Stainless address that layer. If you're considering hand-writing an MCP server, Okibi's argument is that per-call tool selection gets messy — too few tools and agents can't do the job, too many and they grab the wrong one — while a CLI command is already built and repeatable. Watch the metering. Pro includes 500 authenticated agent users/mo, then $2 per additional active agent, and 5,000 successful commands/mo, then $0.05 per extra successful command. An agent-heavy product can run up that bill fast, so model your usage before committing. Additional production CLIs are $100/mo each on top of the $150/mo base. The research pass is only as good as the field it studies. If your command needs are niche enough that competitor CLIs and MCP servers give it little to work from, expect a thinner first
Limitations
- GitHub is the only supported source: the pipeline starts from a GitHub repo (or API docs / OpenAPI specs) via a read-only GitHub App scoped to contents and metadata, installed repo by repo, so GitLab and self-hosted git teams can't be reached.
- A repo with no real server-side product — no server code, OpenAPI, GraphQL or route handlers — won't yield a useful command set.
- The underlying AI model is not disclosed on the site, so you can't audit which model drafts your commands.
- Recurring maintenance depends on Okibi re-minting changes when your product updates, so the CLI stays current only while it stays in the pipeline.
as of 2026-10-11
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Is Okibi still active?
Okibi is live · free plan, paid from $600/yr · last verified 5 Nov 2026 · viability healthy.
Viability score
How well maintained and how widely used is Okibi? 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: November 2026
How we score →What's new in Okibi
Checked todayAcross the latest 2 updates: 2 changelog entries.
okibi CLI 0.2.6: generate creates CLIs on the pipeline, new regenerate and runs publish
okibi generate now builds CLIs on the pipeline with new --example, --destination, --github-account, --rebuild, --no-wait and --json flags; okibi regenerate rebuilds a CLI from source.
okibi CLI 0.2.5: default workspace applies to every command; clis analytics toggle
Workspace set via okibi workspaces switch now applies across all commands, with --workspace and OKIBI_WORKSPACE still overriding. okibi clis analytics turns anonymous command analytics on or off.
What do users say about Okibi?
What people actually say about Okibi — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
ResearchedDiscussed by users across 4 sources (Hacker News, Product Hunt, Bluesky, Lemmy) · researched Nov 4, 2026.
Weighted by the 37 posts each of 4 sources contributed.
- +Prompt-driven agent creation is approachable per Product Hunt commenters
- +Flowchart view of agent actions earns specific praise for visibility
- +Mentioned as easier than Zapier and n8n long workflow builds
- +Templates like X OAuth make cold-outreach agents quick to attempt
- +CLI generation with sandbox verification and quality scoring is a genuinely distinct idea
- −No Reddit, HN, GitHub or Stack Overflow reviews of the actual CLI product
- −The 4.5★ rating rests on just two Product Hunt reviews
- −Most launch comments are congratulations, not hands-on evaluations
- −No public discussion of sandbox verification, quality scores or Identity
- −One commenter asked how it handles multi-step reasoning — no clear answer
- • Sandbox verification and agent-driven testing may consume compute billed beyond free tier
- • GitHub App setup and audit effort for regulated repos
- • Regeneration fidelity may require manual command editing time
How we verified this
Every listed fact about Okibi — 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 5 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Okibi 13 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 page
- — changed who it suits, summary, features, our verdict, pricing tiers, description
- — changed platforms, pricing page
- — changed our verdict, description, features, pricing tiers, who it suits, who should skip it
- — changed pricing page
- — changed switching in, switching out, who should skip it, description, summary, our verdict, setup time, pricing fit, features, hidden costs, use cases, limitations, pricing tiers
Showing the 6 most recent of 13 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Okibi cost in 2026?
Okibi: Free to start; paid plans from $600/yr. Pricing last verified 5 Nov 2026.
Plans compared
Every published Okibi 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 |
|---|---|---|---|
| Free | Free | — | A solo API owner or small team that wants to see whether a generated CLI is worth shipping before spending anything — one private beta CLI, no credit card.Adds: Starting tier: 1 private beta CLI, 3 builders/admins, 5 successful generations per month, 25 internal testers plus 50 beta users, 1,000 successful commands per month, Okibi-hosted only with no source access or self-hosting, private beta distribution. |
| Pro | $600/yrVendor: “$150/mo (or annual, save $600)” | yearly | — |
| Enterprise | Custom | quote | A larger organisation with procurement, security review and identity requirements that needs custom command and agent limits plus an SLA.Adds: Everything in Production plus custom agents and successful-command limits, SSO, SCIM and advanced roles, SLA and security review, and dedicated support — custom pricing on a minimum annual commitment. |
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.
Our price-fit note written Oct 11, 2026 quotes $1,500, which no longer matches the verified price table, so it is being re-reviewed and is not shown.
Has Okibi's pricing changed?
No plan price for Okibi has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Okibi?
Pick Okibi if you are GitHub-centric API and dev-platform teams shipping an agent-facing CLI, Teams that want a verified, documented, versioned CLI without building the tooling, API products whose buyers increasingly include agents working in the terminal, Teams that need agent sign-up handled, not just command execution.
Look elsewhere if you are Teams on GitLab or self-hosted git — Okibi reads repos through a GitHub App, Projects with no server-side product surface to expose as commands, Teams that want a one-off script rather than a maintained, versioned CLI, Agent-heavy products unwilling to model per-agent and per-command metering.
Skip it if Skip Okibi if your code lives on GitLab or self-hosted git, or your product has no server-side surface — the pipeline starts from a GitHub App install and needs real server code, OpenAPI, GraphQL or route handlers to produce useful commands.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Okibi actually fits — and what changes day-one when you adopt it.
You install the read-only GitHub App on your API repo, paste it into Okibi's live preview, and shape the drafted command set — trimming commands that duplicate what your OpenAPI spec already exposes cleanly and keeping dry-run on the write endpoints.
Outcome: You get a compiled binary with structured --json output on every command, generated docs, and a SKILL.md, so an agent that installs your CLI already knows how to call your API without you writing integration docs.
You point Okibi at the repos behind your internal services, keep the commands that pass sandbox verification, and let the regenerations re-mint after each release so the CLI never drifts from the services it wraps.
Outcome: Internal agents run the same versioned commands your engineers do, with errors that name the fix, and the per-command quality score gives you something concrete to point at in review.
You install an Okibi-generated CLI that ships with Okibi Identity built in, so when your agent needs an account on a customer's behalf it creates one and keeps working instead of stopping to ask the user to sign up.
Outcome: Sign-up stops being the point where agent work halts — each request carries short-lived signed proof of which user the agent is acting for.
Use cases
- API developer: generate a CLI for your REST API straight from its OpenAPI spec
- Startup founder: ship a branded, sandbox-verified CLI without hiring a CLI engineer
- Platform team: expose internal microservices as a CLI with agent-friendly structured output
- Open-source maintainer: publish a versioned binary with generated docs and SKILL.md
- Agent product builder: let your agent set up accounts on the user's behalf via Okibi Identity
- DevOps engineer: automate deployments through a generated CLI an agent can trigger
Setup time & first value
How long it actually takes to get something useful out of Okibi — broken out by persona, not the marketing-page minute.
For a developer with a well-documented API, the live preview gives a first drafted command set the same session; a real, verified CLI on a private beta is a matter of shaping commands and letting the sandbox runs complete. Platform teams wrapping several internal services should expect per-repo setup, since the GitHub App is installed repo by repo. Okibi-hosted only on Free, so nothing to
Switching to or from Okibi
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a hand-written CLI: install the GitHub App on the repo, and Okibi reads the existing server code or OpenAPI spec and drafts the command set, which you then shape before generation.
- →From a hand-built MCP server: Okibi's research pass reads existing MCP servers and SDKs so the generated command set matches what agents already call there.
- →From no agent surface at all: start on the Free tier with one private beta CLI, keep the commands that pass sandbox verification, then move to Production for public distribution.
- ↗To a hand-maintained binary: the generated CLI is a real compiled binary you can take over, but you lose the minted changelog and regenerations that preserve your edits.
- ↗To documentation-only distribution: if you stop using the pipeline, the SKILL.md and versioned release notes no longer re-mint when your product changes.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Okibi”, and we withheld 6: 6 could not be judged, because “Okibi” 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 Okibi.
Official links
What are the best Okibi alternatives?
The closest alternatives to Okibi we list are JetBrains AI, Shipper Advisor and Codecompanion.Nvim. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| JetBrains AI | Freemium | Pricing not published | — |
| Shipper Advisor | Freemium | Pricing not published | — |
| Codecompanion.Nvim | Free | Free | — |
Alternatives to Okibi
View allJetBrains AI
JetBrains Air is one system for building software with agents across JetBrains IDEs, the browser, CLI and mobile
Shipper Advisor
Shipper Advisor is the AI mentor chat that reviews your build and coaches copywriting, marketing, design and product architecture.
Codecompanion.Nvim
CodeCompanion.nvim brings LLM chat, inline edits and CLI agents like Claude Code and Codex into Neovim buffers.
Tools that pair well with Okibi
Common stack mates teams adopt alongside Okibi, with the specific reason each pairing earns its keep.
JetBrains AI
JetBrains Air is one system for building software with agents across JetBrains IDEs, the browser, CLI and mobile
Shipper Advisor
Shipper Advisor is the AI mentor chat that reviews your build and coaches copywriting, marketing, design and product architecture.
Codecompanion.Nvim
CodeCompanion.nvim brings LLM chat, inline edits and CLI agents like Claude Code and Codex into Neovim buffers.
Okibi vs its closest rival
Okibi's closest head-to-head is with Presto Voice.
Our Okibi vs Presto Voice verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Frequently asked questions
Our FAQ set (2 answers) written Oct 11, 2026 quotes $1,500, which no longer matches the verified price table, so it is being re-reviewed and is not shown.
Categories
For makers of Okibi
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