Legioni vs Pi Omniagent Extensions

Legioni and Pi Omniagent Extensions 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.

Pi Omniagent Extensions

Each extension is a TypeScript file that wraps one external agent's CLI behind an ACP (Agent Communication Protocol) interface, so Pi treats it as just another selectable model. You pick 'Cursor Sonnet' or 'Opus [claude-code-acp]' from the picker, and Pi routes your turn to that agent running locally in your environment. The architecture is thin by design — four files, an npm install, no hosted API, no backend. That thinness is also the ceiling: this is a single developer's open-source project with two GitHub stars and no stated contributors, so production support expectations need to match that reality. Teams with a single agent workflow get no benefit here.

Attribute	Legioni	Pi Omniagent Extensions
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	npm, Node.js	—
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.	ACP-based agent handoff inside a single Pi session, so you route work to Cursor, Codex, Claude Code, or Rovo without rebuilding workspace context in a separate terminal. All four agent wrappers are in plain TypeScript with no abstraction layer, so reading exactly what the shim does — and patching it when a CLI changes — takes minutes rather than filing a support ticket with a vendor. Fully local execution with no hosted backend, which means no additional data leaving your machine beyond what each agent's own CLI already sends. Free and open-source under no stated proprietary license, so there is no paywall blocking access to any of the four integrations.
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.	When any of the four wrapped CLIs updates its interface — Cursor, Codex, Claude Code, or Rovo — the corresponding shim silently breaks or throws until the repo author pushes a fix. A two-star, zero-contributor project has no SLA for that fix. Teams with a dependency on uptime switch to maintaining their own fork immediately. There is no routing logic inside the tool: deciding which agent handles which task is entirely manual, via the Pi model picker. Teams wanting rule-based or cost-optimized routing across agents hit this ceiling on the first attempt to automate distribution and end up writing their own dispatch layer outside the tool. The tool only works inside Pi — it provides zero value to developers not already using Pi as their primary coding agent host, which means any team evaluating a different primary agent surface abandons this entirely rather than adapting it.

Bottom line

Legioni and Pi Omniagent Extensions 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 Pi Omniagent Extensions?

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

Is Legioni better than Pi Omniagent Extensions?

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.