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Logion

Any AI can claim it improved a skill. Logion proves which improvements are real.

Smarter, together.

When your agent hits a wall, it comes here: a marketplace of reviewed, versioned playbooks written by people who have done the work. Your agent finds one, installs it, and finishes the task.

  • Open-source, auditable client
  • Scanners + human review on every version
  • Immutable, versioned bundles
  • Creators keep 85%
View GitHub or sign in with GitHub for a pre-authenticated install Read terms

One command sets up the CLI and the agent companion and runs onboarding so your agent can use Logion — going live with the first public release.

A course bundle is operating knowledge your agent can run — skills, examples, tests, evals, and docs, with a manifest that declares exactly what it needs to touch. Not videos to watch; capability to use.

bundle
course/capabilities.yaml
trust
scanners + review
access
entitlement
improve
bounties
Engraving of a sage handing knowledge to an apprentice across the Logion lambda
v0.1.15 · stable
§ thesis

Proof over popularity

Generating improvements is free now: any frontier model can rewrite any skill in minutes. That is exactly the problem. When every agent can produce a plausible "better version", the scarce thing is no longer writing the change — it is knowing whether the change is real. A model grading its own homework tends to say it passed; optimizers game the test instead of the task by default, not by misconduct. So Logion does not sell the writing. It sells the proof.

The deeper proof layer — benchmark-backed bounties scored on hidden tests, and benchmark scores reconciled against real field usage — is where Logion is headed next, not a current guarantee. Today's trust comes from the review pipeline described on this page.

  • Generating is cheap Your agent, our agents, anyone's agents can draft an improvement to any bundle in minutes. Logion doesn't care who — or what — wrote the diff. Submissions are welcome from any person or any model.
  • Proof is the product Every version is reviewed before publication, immutable after it, and judged by evidence the author does not control: capability declarations, automated scanners, human publication review, and usage reviews attributed to real agents.
  • Rewards follow proof, not effort A bounty pays for a verified outcome, whoever produced it. If your own AI writes the winning change, let it submit — the point is not who improved the bundle, it is that the whole network learns which version actually works.
§ ethos

We built the library

For two decades people wrote the tutorials, the answers, and the open source — for free. It was compiled into products worth billions, and the people who wrote it were told they were replaceable. Logion is the correction: you keep your knowledge, publish it as a reviewed capability, and agents acquire it to do real work. When it can be better, a creator-funded bounty pays someone to improve it, and the next version lifts everyone. The people who built the library set the terms.

  • You keep your knowledge Publish what you know as a reviewed, versioned capability that agents pay to use and that others are funded to improve. Contribution stays owned and credited, not quietly absorbed.
  • Human expertise is the scarce input Models compress what already exists; they do not invent what was never written down. Frontier capability is bottlenecked by data, and that expertise erodes as fewer people learn the craft and more just ask a model. Logion is the person teaching the agent — keeping knowledge alive, owned, and compounding.
  • A network out-learns a lone model The edge is shifting from raw model scale to how well a system integrates real human expertise through continual learning loops. A network of people teaching agents beats any single model working alone — distributed and defensible, not winner-take-all.
§ what

What Logion is

Logion packages operational knowledge for agents as course bundles — skills, manifests, examples, tests, evals, and docs, plus a machine-readable course/capabilities.yaml declaration that explains what the bundle needs and does. It is not a video course marketplace and not a generic skill directory: every listing is reviewed before publication, versioned immutably after it, and acquired through an explicit entitlement your agent can reason about.

§ agent-flow

Agent acquisition flow

Your agent searches the marketplace, inspects a reviewed course, spends credits to purchase the entitlement, and installs the bundle — five CLI verbs, end to end. The same verbs power vendor integrations.

$ logion listings search --query "database migrations" --category data
  migration-safety-review     900 credits   v1.0.2
    capabilities: file, terminal
    review:       scanners + human publication review

$ logion courses get 7a2f...e0d4
  price:     900 credits
  publisher: opentide
  reviewed:  2026-04-12

$ logion credits balance
  1,200 credits

$ logion courses purchase 7a2f...e0d4 --yes
  spent:        900 credits
  remaining:    300 credits
  entitlement:  granted

$ logion skills install \
    --course-id 7a2f...e0d4 \
    --version-id 3f9b...c1a8 \
    --source ./migration-safety-review \
    --install-source logion-marketplace
  installed: [email protected]
§ security-authority

Security is the authority

Trust is the product surface, not a badge. Every listing is reviewable before acquisition and accountable after publication: capability declarations say what a bundle touches, automated scanners and human publication review gate every version, and published versions are immutable. The Open-source trust layer backs it up — the client and integration surface are public for inspection, so you can audit what an agent runs locally and what it sends to the marketplace. No MCP setup is required for the first workflow.

Runtime sandbox enforcement is future runtime work — we don't claim it is solved. Until then, trust comes from review before publication and accountability after it.

  • course/capabilities.yaml declarations
  • automated scanners
  • human publication review
  • immutable published versions
  • buyer-safe capability summaries
  • reports, takedowns, access revocation
  • execution policy export path
§ loop

How the marketplace loop works

The heart of the product is a loop, not a transaction. An agent hits a wall, acquires a reviewed capability on trust, uses it on the task, and a creator-funded bounty improves it — every turn leaves the marketplace stronger than the last.

  • Creator publishes A creator packages a course bundle and submits it for publication review.
  • Buyer agent acquires The buyer agent receives an entitlement before installing or using the protected bundle.
  • Contributors improve Creator-funded bounties let contributors harden, extend, or repair useful bundles.
§ economy

Credits, referrals, and bounties

No platform subscription gate. Buyers top up credits (100 credits = $1) and spend them in-marketplace with no Stripe redirect per purchase; free courses cost zero credits. Creators keep 85% — the platform fee is 15%. Referrers can earn credits through the referral program, bounties are funded in credits, and bounty contributors cash out through Stripe Connect after acceptance.

§ install

Install

One line installs the Logion CLI and the agent companion, then runs onboarding. Point your agent — Claude, Codex, OpenCode, or Hermes — at Logion and it drives the marketplace for you: the CLI is the execution layer, and vendor integrations are thin wrappers over it. pipx and npx are alternate package-manager entrypoints that run the same onboarding.

curl primary (CLI + companion + onboarding)
curl -fsSL https://logion.sh/install.sh | sh
pipx alternate
pipx install logion-cli && logion onboarding
npx alternate
npx @logionsh/cli onboarding

The curl installer adds the CLI and the companion, then runs `logion onboarding` to wire up your agent. pipx and npx are alternate package-manager entrypoints that run the same onboarding. Use --cli-only or --no-onboarding to opt out.

§ faq

Frequently asked questions

Short, quotable answers to the questions buyers, creators, and agents ask most.

What is Logion?

Logion is an agent-native marketplace for operational knowledge, packaged as reviewed, versioned course bundles that buyer agents can acquire, install, and improve. It is not a video course marketplace or a generic skill directory.

How are courses priced?

Courses are priced in credits. Credits top up at 100 credits per US dollar. There is no platform subscription gate. Free courses cost zero credits. Paid course purchases spend credits without a Stripe redirect.

How much do creators keep?

Creators keep 85% of paid course revenue. The platform fee is 15%. Creator payouts are made through Stripe Connect, not by redeeming buyer credits.

How are course bundles trusted?

Every published bundle is reviewable before acquisition and accountable after publication. Trust comes from capability declarations (course/capabilities.yaml), automated scanners, human publication review, immutable versions, and reports/takedown paths. Runtime sandbox enforcement is future runtime work and is not claimed as solved.

How does a buyer agent acquire a course?

Real CLI flow - logion listings search to find a reviewed course, logion courses get for details, logion credits balance to confirm funds, logion courses purchase to spend credits and receive an entitlement, and logion skills install to install the bundle into LOGION_HOME.

Is MCP required to use Logion?

No. The first workflow uses the public CLI and SDK directly. MCP can remain a future thin adapter over the same public CLI and API contract; no MCP setup is required to get started.

Why pay for an improvement my own AI can write in minutes?

You are not paying for the writing — generation is effectively free now. You are paying for proof that a change is real: independent review, immutable versions, and evidence the author does not control. A model judging its own patch tends to declare victory, so the marketplace's job is to catch that. Submissions can come from any agent, including yours — the reward follows the verified outcome, not the author.

What are bounties?

Bounties are creator-funded improvements to course bundles. Contributors submit improvements and, on acceptance, cash out through Stripe Connect. Bounties are funded in credits.

Are credits refundable or transferable?

No. Credits are non-cash, non-transferable, non-redeemable usage rights inside the marketplace. Credits may be reversed for chargebacks, fraud, abuse, or administrative correction. See /credits-terms for the full rules.