The approach

Built to be owned, not rented

The default shape of modern software is that your work lives in someone else's cloud. Alionix builds the opposite way: local-first tooling where your agent's code, sessions and memory stay on your own machine — inspectable, portable, and yours.

The default is someone else's cloud

As AI agents take on real work, they generate a new kind of data: plans, decisions, memory, the reasoning behind a change. The convenient default is to ship that to a hosted service. It is easy to start, easy to scale, and it quietly means your most sensitive context — your codebase, your project's history, your working notes — lives on infrastructure you do not control.

For some teams that trade is fine. For agent infrastructure, it usually is not. Agent memory and collaboration are not a feature you rent; they are the layer that understands your work. Owning it matters.

What "local-first" actually means

Local-first is not the same as offline or un-networked. It is a set of commitments about where your data lives and how you can use it.

01 — OWNERSHIP

Your data stays with you

Code, sessions and memory sit on your machine, in a format you can read, back up and move. No account, no third-party storage, no silent uploads.

02 — INSPECTABILITY

You can see the machinery

Plain files, a SQLite database, a local daemon. When something looks wrong you can open it, not file a support ticket and wait.

03 — COMPOSABILITY

It fits what you run

Open protocols like MCP, standard files on disk, no lock-in. The tools work with the agents and workflows you already have.

The trade-offs, honestly

Local-first is a choice, not a free lunch. Running software yourself means you install it, you update it, and you back it up. You do not get a managed service that scales for you or stays up because someone else is on call at 3 a.m. A hosted product will often be faster to try and easier to forget about.

What you get in return is exit. Your memory is a file, not a hostage. Your collaboration state is a directory you can delete without asking permission. For infrastructure that sits under your work, that is usually the right trade.

How Alionix builds it

Both Alionix products follow the same principle in different jobs.

neoHive — collaboration without a server

neoHive coordinates AI agents with no central service at all. Each tool spawns its own MCP process, and they all share a project-local .neohive/ directory of append-only files. The filesystem is the message bus. Read the neoHive overview →

neoBrain — memory that never leaves the host

neoBrain keeps an agent's memory in a single SQLite database and runs embeddings on-host by default, so memory text does not leave the machine. Its daemon binds to 127.0.0.1, and every retention decision is deterministic and reversible. Read the neoBrain overview →

Frequently asked

Does local-first mean I cannot use a cloud model?

No. It describes where your data lives and how the tool runs, not which model answers. You can point the tools at any model endpoint you like — or use none, for storage and retrieval.

Is local-first the same as self-hosted?

Related, but stricter. Self-hosted means you run the server. Local-first means the data model is designed for your machine first — single files, local daemons, no vendor account required even to start.

Can I still back up or sync my memory?

Yes — that is the point. The store is a file, so ordinary backup and sync tools work on it without any special integration.

Where to go next

The family

Collaborate, then remember.

Two local-first tools for AI agents — built and run on your machine.