Legioni vs Orbit

Legioni and Orbit are both cli coding agents 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.

Legioni

The orchestrator receives a plain-language task in opencode, breaks it down, and hands it to a chain of specialist agents — architect, implementer, reviewer, test-strategist — in sequence. Each step feeds the next; the loop closes only when tests pass. The 'lesson promotion' mechanism lets teams encode what they learn into persistent agent behavior, so the same mistake doesn't resurface two projects later. The hard boundary: Legioni runs inside opencode, full stop. If your team is not already on opencode or cannot adopt it, the architecture is irrelevant — there is no standalone path and no API to route through a different runtime.

Orbit

Orbit structures agent execution around a single concept: one task, one orbit, bounded by real checks — tests, lint, type validation — and recorded in inspectable JSON artifacts before anything advances. The vendor describes it as agent-neutral: Claude, Codex, Cursor, or any JSON-speaking CLI slots in behind the same contract, so teams can swap agents and compare output artifacts instead of gut feelings. The architecture is intentionally small, which means the harness is easy to verify and replay, but it also means Orbit does not ship workflow UI, cloud hosting, or a managed backlog service. Teams with complex multi-agent pipelines or a need for a hosted dashboard will be assembling those pieces themselves. Where it shines is the messy middle: failing tests handed to an agent, with proof required before the task closes.

Attribute	Legioni	Orbit
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	npm, Node.js	Python; Linux, macOS, Windows (via WSL or native Python)
Pros	Test-driven agent loop closes only when tests pass, so you are not manually checking whether the implementer's output actually works before shipping it to review. Specialist agents handle discrete roles — architecture, implementation, review, test strategy — which means a single task does not collapse into one undifferentiated prompt that loses track of constraints halfway through. Lesson promotion persists learned behaviors across sessions and projects, so teams stop re-encoding the same project rules every time they open a new task. Zero-install path via npx means you can run `legioni init` in a new repo without touching your global Node environment, keeping adoption friction low for the first experiment. MIT license and self-hosted operation mean the agents run entirely within your environment — no usage data leaves to a vendor API beyond whatever opencode itself sends.	Validation gates block task completion until tests, lint, and type checks pass — so an agent cannot mark work done without machine-verifiable proof, eliminating the silent failure mode where agents self-report success on broken code. Agent-neutral JSON contract means swapping from one coding agent to another requires no structural changes to the harness, so teams evaluating multiple agents get comparable artifact sets instead of incomparable anecdotes. Dependency-aware backlog selection keeps each orbit scoped to one task at a time, which means multi-step projects advance in verified increments rather than accumulating unvalidated drift across parallel agent threads. Structured artifact output — agent-result.json, evaluation.json, review.json, progress.md — gives reviewers an inspectable record of every decision and validation outcome, so audits and post-mortems have a durable evidence trail instead of reconstructed logs. MIT-licensed and self-hosted, so the entire execution environment stays on infrastructure the team controls — no vendor dependency on a cloud service that changes pricing or availability.
Cons	Legioni is a hard dependency on opencode: every agent, every loop, every lesson runs inside opencode's runtime. Teams on Cursor, Cline, or any other AI coding environment cannot use this tool — the only path forward is adopting opencode first, which is a separate adoption decision with its own trade-offs. The project's public repository shows five commits and a small star count, which means edge cases in the agent loop, lesson promotion conflicts, and stack detection failures are under-documented and under-reported. Teams hitting unexpected behavior have no community issue history to search and no support channel beyond filing a GitHub issue themselves. Lesson promotion is a manual, explicit action — the agents do not automatically surface or apply learned behaviors without team intervention. Projects where nobody curates the promoted lessons see no compounding benefit across sessions, which makes the core differentiating feature opt-in rather than default.	Orbit ships no hosted control plane, no web UI, and no managed backlog service — teams that need non-engineers to review agent progress or manage task queues through a dashboard face a full custom build before Orbit is usable at that level. The harness requires every coding agent to speak JSON from the CLI; agents or tools that expose only browser-based or proprietary interfaces cannot be connected without writing and maintaining a custom adapter, which adds an ongoing maintenance surface. At the scale where a team needs parallel agent execution across multiple repositories with centralized visibility, Orbit's intentionally small scope becomes a structural ceiling — teams at that point are evaluating purpose-built CI orchestration platforms or managed agent infrastructure, not a local harness.

Bottom line

Legioni and Orbit 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 Legioni and Orbit?

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

Is Legioni better than Orbit?

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.

Legioni vs Orbit: which should I pick?

Pick Legioni if its pricing model, openness, or platform fit matches your constraints; pick Orbit 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.