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Agnt vs Skill Federation

Agnt 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.

Agnt

Agnt

AGNT is a local-first agent operating system built around an AGI loop: the agent executes a step, evaluates the result, and re-plans before moving forward — without you steering each decision. Persistent memory and skill layers mean context survives across sessions, not just within a single run. The visual workflow designer handles repeatable paths; goal-mode hands the agent an objective and lets it figure out the steps. Self-hosted deployment with Docker keeps data on your own infrastructure, which matters when your legal team has opinions about where prompts and outputs live. The custom license — not OSI-standard — is the detail that stops procurement at some organizations before the first demo.

Skill Federation

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.

AttributeAgntSkill Federation
PricingPaidFree
Price$0 or $333/year per additional user for hosted version
Free trialNoNo
Open sourceYesYes
Has APIYesNo
Self-hosted optionYesYes
PlatformsDesktop (Windows, macOS, Linux), Docker, Kubernetes, headless server, VPS, homelab, Raspberry PiNode.js, Python, cross-platform via curl
Pros
  • AGI loop (execute → evaluate → re-plan) means the agent adapts when a step returns an unexpected result, so you aren't rebuilding the workflow every time real data doesn't match the demo assumption.
  • Persistent memory across sessions, so an agent working a multi-step task over hours or days carries context forward — without this, every run starts from zero and you hand-manage state yourself.
  • Local-first Docker deployment with no execution-based billing, which means compliance-sensitive teams can run agents on internal data without renegotiating data processing agreements or watching a cost meter.
  • Goal-mode lets you set an objective and let the agent sequence its own steps, so you aren't manually building every branch for tasks where the path depends on intermediate results.
  • Plugin and subagent architecture allows parallel delegation, so work that can happen simultaneously doesn't queue behind a single-threaded pipeline.
  • 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
  • The license is a custom non-OSI-standard document — not MIT, Apache, or GPL. Teams at enterprises or funded startups with formal open-source review processes cannot deploy to production until legal clears it, and that process adds weeks to any timeline. Some teams skip the review entirely and move to a competitor with a standard license.
  • Community support is thin: a few hundred stars and a handful of open issues means when you hit an edge case in the re-planning loop or a plugin integration, there is precious little in forums or Stack Overflow to guide you. You are reading source code.
  • The visual workflow designer handles linear and moderately branched paths well; deeply conditional logic — branching based on what the third or fourth agent returned — pushes against what a canvas can express cleanly. Teams building that complexity end up extending with code outside the visual layer, at which point they are maintaining two systems.
  • 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

Agnt is paid while Skill Federation is free; only Agnt exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Agnt and Skill Federation?

Agnt is Paid 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 Agnt 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.

Agnt vs Skill Federation: which should I pick?

Pick Agnt if its pricing model, openness, or platform fit matches your constraints; pick Skill Federation otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.