Enju vs Skill Federation

Enju and Skill Federation are both agent frameworks tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Enju

Orbit structures agent work into discrete, dependency-ordered loops: one task per run, deterministic validation gates, and four output artifacts that record exactly what the agent returned, how the run scored against a rubric, and what should happen next. The demo runs without an API key, which means you can evaluate the harness itself before spending a single token. Where it gets constrained: Orbit is a harness, not a scheduler — it does not autonomously drive through a backlog or retry failed orbits on its own. Teams wiring it into CI pipelines write the outer loop themselves.

Skill Federation

Skill Federation runs locally on your machine and connects to a catalog of over 100,000 vetted skills. When an agent hits a gap, it surfaces matches in milliseconds — each one license-checked, security-scanned, and provenance-tracked — then waits for your approval before installing into .claude/skills/. The benchmark evidence from the vendor is specific: a bare Claude Code agent solves 17.5% of SkillsBench tasks; with Skill Federation retrieving the top match, that climbs to 22.8%, roughly closing 27% of the gap to a hand-crafted ideal skill. The privacy boundary is narrow by design — only an abstract wish crosses the wire, never your code, plan, or outputs. The hard ceiling is integration breadth: Claude Code is supported, with Codex, Cursor, and Gemini listed as coming.

Attribute	Enju	Skill Federation
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	Platform-agnostic (Python); local or remote execution	Node.js, Python, cross-platform via curl
Pros	Agent-neutral adapter contract, so you can run Claude and Codex against the same task definition and compare structured evaluation artifacts instead of arguing over impressions. Validation gates (tests, lint, type checks) block task completion until checks pass, which means agent output that merely looks correct cannot close an orbit and cannot reach your branch. Dependency-aware backlog selection keeps each run scoped to a single, well-bounded task, so you avoid the compounding failures that come from an agent chaining through multiple ambiguous steps at once. Mock-mode replay demo requires no API key, so you can evaluate Orbit's harness behavior and artifact output without spending tokens or standing up external credentials. MIT licensed and self-hostable, which means no vendor dependency on the validation layer for a security-sensitive or air-gapped environment.	Two-scanner security vetting at catalog ingestion rather than at install time, so you are never pulling live from an unreviewed repo and your team avoids the malware-by-star-count gamble. License class and provenance shown before every install, which means teams with compliance requirements can audit what skills entered the codebase without reconstructing that history after the fact. Retrieval triggered automatically when the agent hits a gap, so the agent does not require manual skill reminders at the start of every session — a friction point the vendor explicitly benchmarks against. All execution happens on your machine with only an abstract wish transmitted, so codebases, plans, and outputs stay local even when skill search is delegated to an external catalog. Open-source and self-hostable, which means teams that need an air-gapped or fully controlled registry can run their own instance rather than depending on a hosted endpoint.
Cons	Orbit does not drive its own retry or backlog progression loop — when an orbit fails validation, a human or an external script decides what runs next. Teams expecting autonomous multi-task execution will write a significant orchestration layer on top of the harness before it matches that expectation. There is no API surface and no native CI integration out of the box. Connecting Orbit to a GitHub Actions pipeline or a merge queue requires an adapter the team authors; the docs describe this as a contribution pattern, not a built-in feature. The harness is scoped to coding agents that speak a JSON CLI contract. Teams already invested in a coding agent that does not expose a structured CLI output format will hit an integration wall immediately and either write a translation shim or move to a validation approach their agent already supports natively.	Claude Code is the only documented supported integration; teams running Cursor, Codex, or Gemini as their primary agent tool cannot use Skill Federation in its current state — those integrations are listed as forthcoming with no committed timeline on the vendor page. The benchmark ceiling exposes the retrieval model's limit: even the top retrieved skill closes only 27% of the gap to a hand-crafted ideal skill, meaning tasks that require precise, purpose-built skills will still be partially solved at best — teams with narrow, specialized workflows will hit this ceiling faster than teams with general-purpose tasks. No API is available, so teams that want to integrate skill retrieval into a custom agent pipeline or CI workflow cannot call Skill Federation programmatically — teams needing that surface will need to build their own retrieval layer, at which point Skill Federation's catalog is no longer in the loop.

Bottom line

Enju and Skill Federation are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Enju and Skill Federation?

Enju is Free and open source, while Skill Federation is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Enju better than Skill Federation?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.