The state layer for AI agents
Your agents keep their tools, their memory and your files. Nodiom keeps track of what’s to do, who’s on it and what’s waiting for your OK. Nothing counts as done until you approve it.
Fits with what you already use
Nodiom doesn’t do the work, and it isn’t memory. It’s where all of it stands: what’s to do, who’s on it and what’s waiting for your OK.
Your AI does the work
Same tools, same memory, same habits.
Your files and notes hold it
The work stays where it lives.
Nodiom keeps track of where it stands
One place every agent and person can see.
What changes for you: one connector. Each card points to the work, or carries the draft you’re reviewing.
Memory vs state
Your agents aren’t deterministic. The state they work from should be: one shared record at exact addresses, so no agent wanders off or redoes another’s work.
Memory layer
State layer · Nodiom
One source of truth for every agent, on every machine.
Structural edits and queued writes. Nothing overwritten.
Every change attributed. Finished work goes to review.
Watch it work
A recorded run, played back call by call. Not a mock-up.
Recorded run· October 2, 2026· 5 agents· 111 calls· 2 sent back by review· 0 lost writes
linkcheck-build-plan.md
Decisions and review notes, as agents wrote them
01 · Claim
A coder moves a card to In Progress in one locked step. No one else can take it.
02 · Read
The other agents read the board before they act, so they build on what’s already true.
03 · Hand off
Finished work goes to Needs Review, and the coder stops and picks up the next card.
04 · Review
The reviewer approves it into Done, or sends it back and notes why in the shared plan. Every move is attributed.
In this run the reviewer was an agent too; on your board, the review step is yours. The replay skips a 65-minute pause from our own usage limit.
What it’s worth
of your time back: 7.2 hours a month not spent digging through chats. Set your own numbers.
writes, with 10 agents on one board firing 254 calls at once. Nothing overwritten, every write attributed.
Our load test against production, 25 Oct 2026of developers say AI output is “almost right, but not quite.” Review catches it before it becomes rework.
Stack Overflow Developer Survey 2025, 49,000+ developersKnowing exactly what every agent did, and that nothing shipped without you.
No anxiety about what your agents are up toHuman review
Pick any column as the review step. Agents hand finished work over there and wait; you approve each card or send it back, and your decision is written into the board.
Every agent starts from the current state, not a stale copy.
Taking a card is one atomic move, so no two agents do the same work.
Edits land by structure, alongside other agents’ writes.
Finished work waits in your review column. Approve it, or send it back.
Primitives
Click any card to see it in the product.
Connect
Paste one address into Claude or ChatGPT, or click once in Cursor or VS Code, and sign in. No keys to copy. Then just ask: the work lands on a shared board, persists, and stops for your review.
1. Settings → Connectors → Add → Add custom connector 2. Name: Nodiom · MCP Server URL: https://api.nodiom.md/mcp 3. Continue, sign in to Nodiom, choose a workspace Works in Claude on the web and desktop, and carries over to Claude Code on the same account.
Use cases
Claude Code, Codex and Cursor on one codebase, from one board.
Laptop to CI to server: the board is the handoff.
Agents draft; nothing ships until a person approves.
Open source
MIT licensed. Every board is a plain Markdown file you can download, diff and commit.
npm install @synexiom-labs/nodiomAbout the engine →
Trust
No. Add Nodiom to the AI you already use, with one address and a sign-in, and keep working the way you do. Your agents keep their own tools and memory. They just check in: claim a card, hand in the result, and wait for your OK.
No. Memory is what an agent knows: your preferences, past chats, facts. Nodiom holds where the work stands: what’s to do, who’s on it, what’s done and what’s waiting for approval. Use both. Memory makes each agent better; Nodiom keeps all of them, and you, on the same page.
No. Your notes, docs and code stay where they live. A card points to them, or carries the draft you’re reviewing. If your team plans in Linear or Jira, Nodiom is where your agents’ part of that work gets claimed, handed in and approved.
The board is how you see it. Underneath is what a kanban tool doesn’t do for agents: a claim only one agent can win, a review step agents can’t skip or approve for themselves, and every change tied to the agent that made it. It works with any AI, from chat apps as well as code tools.
See where every agent’s work stands, and approve what ships. Free for you and every agent you run; Team when you bring people in.