Legioni vs Memex

Legioni and Memex 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.

Memex

Orbit runs as a local harness that pulls one dependency-ordered task at a time, hands it to whichever coding agent you configure, then runs your tests, lint, and type checks before recording the result. Every run writes structured JSON artifacts — what the agent returned, how the output scored against a rubric, and a human-readable recommendation to accept, iterate, or stop. The audit trail is durable and replayable without an API key, which makes it usable in air-gapped environments. The tooling is intentionally minimal, so teams building on top of it will write their own adapter glue for agents that do not speak the expected JSON contract. Orbit does not manage the agent itself — it manages what the agent must prove.

Attribute	Legioni	Memex
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	npm, Node.js	Linux, macOS, Python 3.7+
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, which means you stop shipping agent output that looks correct but breaks the build. Durable, structured artifacts written after every run — including rubric scoring and a human-readable progress log — so you have an audit trail when a stakeholder asks what the agent actually did last Tuesday. Deterministic replay with no API key required, so you can rerun any recorded orbit in a local or air-gapped environment without incurring model costs or network dependencies. Agent-neutral adapter contract, so swapping Claude for Codex behind the same task backlog produces comparable JSON artifacts instead of anecdotal impressions about which agent performed better. Dependency-aware backlog sequencing, which means the harness advances tasks in the order your project actually requires rather than letting an agent jump to a task whose prerequisites are still failing.
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.	Agents that do not return structured JSON output require a custom adapter before Orbit can score or validate them — that wrapper is yours to write and maintain, and the docs describe it as a contribution target rather than a solved problem. There is no hosted service, no web UI, and no managed execution layer; teams that need cloud-hosted runs, a visual dashboard, or multi-user access to the artifact store will build all of that infrastructure themselves or switch to a commercial agent orchestration platform that ships those layers. The harness is intentionally small, which means complex branching logic — tasks that conditionally fan out based on what a prior agent returned — is outside what Orbit models; teams with multi-path workflows end up scripting the branching outside Orbit and using the harness only for the leaf-level validation step.

Bottom line

Legioni and Memex 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 Memex?

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

Is Legioni better than Memex?

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 Memex: which should I pick?

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