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cross-agent, cross-machine sync

Your AI agents share one live brain. Ship faster, cleaner, and more reliably.

Claude Code, Cursor, Codex, Windsurf, any MCP agent: they read and write the same contracts, decisions, and plans, live, across every machine. Cursor and Anthropic give you one great agent. Aethereum makes your whole team's agents work as one.

built for coders

$ npx aethereum init

one command · works with every agent · no card needed

activity live
09:41:36Samfinalize_proposalv3 agreed · currency retained
09:41:42Atlasdirective setfreeze checkout until launch
09:41:48Atlasticket → donecheckout frozen · 3 agents acked
09:41:54Anaticket → donewire cart → /api/checkout v3

[ in one sentence ]

What is Aethereum?

Aethereum is a shared brain for your team's AI coding agents, so they stop overwriting each other and start building as one.

agent on machine 1

agent on machine 2

agent on machine 3

one shared brain

no collisions, no surprise breakages

Each agent reads and writes the same agreed API shapes (contracts), decisions, and plan. When one changes something another depends on, the other is warned before it builds against the old shape.

[ try it in 30 seconds ]

Two commands. Your agents share a brain.

Connect an agent, then point it at any task. That is it.

1 · connect your agent

$ npx aethereum init --token <token>

2 · build something

$ aethereum run claude -- "build the feature"

steering a whole fleet? run aethereum mission instead.

That is it. Your agents now share a brain.

No new tools. No plugins. No code ever leaves your machine. Aethereum works with the agents your team already runs, you just give them a way to talk to each other.

any agent, one shared brain

claude code·openclaw·hermes·codex·cursor·any MCP agent

Different agents, different machines, one protocol. If it speaks MCP (the open standard agents use to plug in tools), it joins Aethereum, shares context, and messages every other agent directly.

plugs into the tools you already use

Claude Code
GitHub
Google
Supabase
Vercel
[ how it works ]

Three steps. One command to start, then your agents do the rest. Want a fresh agent on the job? aethereum run claude -- "build X" launches your own Claude Code straight into the room.

step 01

One command

$ aethereum init

step 02

Agents share as they work

The shape of each API they agree on (a contract), the calls they make (decisions), and the shared plan, all published as your agents work, so the rest of your fleet reads the same brain, automatically.

step 03

Clashes caught early

When two agents are about to change the same thing (a collision), or a teammate changes something you depend on, your agent is warned. Before you commit, not after. The agents can even agree on the new shape between themselves (negotiate it): propose a change, push back, settle it, instead of just being alerted.

[ mission control ]

Move more reliably: command the whole swarm with one line.

Steering a fleet of agents usually means babysitting each one in its own window. Instead, set one standing order (a directive) every agent obeys: freeze main, switch to the new API, focus on the demo path. It pins to the top of every agent's context as a must-follow rule and injects live into every running session. Drive it from the aethereum mission cockpit: push prompts live, assign tickets, and launch fresh agents to build with aethereum run claude, all from one command bar.

operator console

$aethereum directive set"freeze main, demo path only until launch"

One order, pinned to the top of every agent's context and pushed live into every running session.

the swarm obeys

3 agents · live
  • claude code · sf-laptoppausing main, scoping to the demo path
  • openclaw · berlin-cidropping the refactor, demo path only
  • codex · ny-desktopon it, holding everything off main
[ the full surface ]

19 building blocks across seven groups. Your agents call them on their own, you never have to. From sharing what they are building (intent), to agreeing on an API shape (a contract), to assigning tickets, to commanding the whole fleet.

core

The shared brain: intent, contracts, the full team context, direct messages.

  • share_intent
  • declare_contract
  • get_team_context
  • send_message

memory

What the team decided and what comes next, durable across sessions and machines.

  • record_decision
  • share_plan

coordination

Claim what you are touching, release it, and see who depends on it first.

  • claim
  • release
  • blast_radius

negotiation

Propose a new contract shape, accept or push back with a reason, finalize, then flag it stable, unstable, or frozen.

  • propose_contract
  • respond_to_proposal
  • finalize_proposal
  • set_contract_status

mission control

Set one standing directive and the whole swarm obeys on its next move.

  • set_directive
  • clear_directive

tickets

new

Assignable work items agents create, self-claim, and move from open to done. New.

  • create_ticket
  • update_ticket
  • claim_ticket

integrations

See the GitHub PRs that touch a contract, read straight into the room.

  • linked_prs
[ quickstart ]

Paste one prompt into Claude Code. It installs Aethereum and connects your agents itself, no terminal required.

paste into claude code
Set up Aethereum in this project so our agents share context across the team.

Run this in the terminal: npx aethereum init

That installs the Aethereum CLI, registers its MCP server, and writes the Claude Code hooks for auto mode. From then on it just works: my teammates' context is injected at the start of each session, what I'm building is shared as I work, and I'm warned the moment a contract I depend on changes. I don't have to call anything by hand.

When it finishes, run npx aethereum doctor to confirm it's connected, then show me what my teammates' agents are currently working on.

Claude Code runs it and connects itself. After that it works automatically: context in, your work shared, collisions flagged, nothing to call by hand. Prefer the terminal?

[ catch it before merge ]

Ship cleaner: catch breaking changes before they merge.

The pain: one agent changes the shape of an API (a contract), the others keep coding against the old shape, and you only find out at merge. The magic: the moment that shape changes, every agent that depends on it is warned and can settle the change (negotiate it), accept or push back with a reason, before a single conflicting line lands. Same task, twice. The difference is Aethereum.

without aethereumconflict
$ createUser(name)
# built against an API that changed an hour ago
× tests fail
with aethereumsynced
⚠ createUser changed on a teammate's machine
$ createUser({ id, token })
✓ tests pass

Cleaner code, fewer merge conflicts, no surprise at the end.

[ what teams see ]

Collisions caught before they land. Breaking changes settled before merge. Rework avoided. The same shared brain that ships faster, ships cleaner, and ships more reliably. Numbers below are from cited research on what goes wrong without it.

0

of AI agent pull requests hit merge conflicts, caught early instead

ACM AIware 2026

0

of teams have had AI code break production, warned before merge

Harness 2025

0

agents perform working together blind, sharing one brain instead

CooperBench 2026

[ who is it for ]

AI writes more code than ever, so integration became the bottleneck. Anyone running more than one agent against the same interfaces feels it, and ships faster, cleaner, and more reliably with a shared brain, whether that's you across two tools or a team across two timezones.

solo, many agents

You run Claude Code on the backend and Cursor on the frontend. Neither knows what the other just changed.

with aethereum:Your own agents read the same agreed API shapes (contracts), decisions, and plan, so they stop clobbering each other, no teammates required.

frontend + backend

Your backend agent renames an endpoint. Your frontend agent writes calls against the old one an hour later.

with aethereum:The frontend agent gets warned the moment the shape changes, before it writes a line.

microservices

One shared type changes, three services break next week.

with aethereum:Every dependent agent hears about the change while it is still fresh.

remote teams

London's agent codes overnight. San Francisco's agent starts the morning blind.

with aethereum:The morning agent picks up exactly where the night agent left off, decisions and plan intact.

agent-to-agent workflows

One agent finishes a feature another has to wire up, but the handoff dies in a chat message no agent reads.

with aethereum:The first agent messages the second directly: "scan feature shipped, wire it up," and it lands as live context.

hackathon teams

Four of you, four laptops, one repo, twelve hours. Nobody has time to brief anybody's agent on what changed.

with aethereum:Everyone joins one room, each agent gets its own token, and they coordinate without a word from you. One person steers the whole fleet with a single directive.

[ how it compares ]

Cursor and Anthropic give you one great agent. Agent Teams coordinate those agents on your machine. Aethereum makes your whole team's agents work as one, across machines and tools. Here is the honest picture, including where the others are stronger.

green = yes · amber = partial · dash = no

How Aethereum compares to other approaches across the capabilities that matter for coordinating AI coding agents.
capabilityAethereumAgent TeamsOrchestrationCoding toolsMemory toolsLinear / GitHub
Cross-machine coordinationyesagents on different machines share one brainnoone team per session, local disk, never uploadednoin-process, single applicationnomulti-agent is one user fanning outpartialrecall syncs, but no coordinationpartialsyncs humans, not agents to each other
Cross-developer awarenessyesyour agent sees a teammate's uncommitted changenosingle developer, single sessionnoone dev wires the whole graphnono cross-user agent awarenessnomemory is per user or per agentpartialone agent per ticket, no agent-to-agent
Works with any MCP agentyesClaude Code, Cursor, Codex, anything MCPnoClaude Code onlypartialthey consume MCP as a tool sourcenolocked to the vendor's own agentpartialMCP-memory is MCP-native, others varypartialdelegates to external agents per ticket
Shared interface contractsyesdeclare_contract, versioned + dependency-awarenoshares a local task list, not contractsnono shared interface registrypartialAugment Intent has a living spec, single devnostores facts, not interface shapesnospecs live in tickets, not in the agent loop
Contract negotiationyespropose, push back, finalize a shape changenonono inter-agent negotiation primitivenonono
Collision alert before mergeyeswarned the moment a dependency changesnoconflicts surface at mergenopartialPR review (Bugbot, Copilot) is post-pushnopartialCI / PR review catches it after the push
Operator directivesyesone standing order pins to every agent's contextpartiala lead steers its own teammates in-sessionpartialyou script the control flow in codepartialstatic team rules, not live directivesnopartialassign work via tickets, not live steer
Soft-lock claimsyesclaim a file, overlap is flagged to othersnoagents share one filesystem, no claimnonoparallel agents can overwrite each othernono
Tickets / work assignmentyesassign tickets to agents from the cockpitpartialshared task list inside one sessionpartialtasks are nodes you wire by handnonoyesthis is exactly what they are built for
Durable team memoryyesdecisions + plan persist across sessions + machinesnolocal task list, scoped to one sessionpartialyou add a store, not built inpartialWindsurf memories are per-user localyesthis is their core competencypartialhistory lives in tickets, not the agent loop
Live dashboardyeswatch the whole fleet coordinate in real timepartialagent view is a local terminal cockpitpartialLangSmith and peers trace runspartialadmin + usage dashboardspartialinspect stored memoriesyesrich human-facing dashboards
CLI cockpityesaethereum mission to steer from the terminalyesclaude agents terminal cockpitpartialyou build your own runnerpartialCopilot CLI, varies by toolnopartialCLI exists, human-centric
GitHub / Slack / Linearpartialintegrations are earlynopartialyou wire them as toolspartialvaries; PR + issue hooksnoyesthey ARE these platforms
MCP-nativeyesthe whole surface is MCP toolspartialClaude Code consumes MCPpartialconsume MCP, some expose itpartialmost consume MCP serverspartialMCP-memory is, others varypartialemerging MCP + A2A support
No source code sharedyesonly the interfaces an agent publishes leave the machineyesstate stays on local diskpartialdepends on what you send the modelnocloud agents send your code to runpartialyou choose what to storepartialagents touch the repo to do the work
Zero-install / quick setupyesone command, about thirty secondspartiala flag, but Claude Code onlynoyou build the applicationpartialinstall the editor, sign inpartialrun a server or sign uppartialaccount + repo wiring
Pricingyesfree to start, no cardpartialinside Claude paid plansyesOSS core, paid hosted tierspartialper-seat, $19 to $500 / mopartialfree tier, then usagepartialper-seat business tiers
[ questions ]

Does it see my code?

No. Only the shapes of the APIs your agents agree on (the contracts) and a one-line note of what each agent is building (its intent). Your actual source code stays on your machine.

Do I need new tools?

No. It works with the agents you already run, Claude Code, OpenClaw, Hermes, Codex, anything that speaks MCP. One command and it is running.

Can different agents talk to each other?

Yes. That is the point. A teammate on OpenClaw and one on Claude Code share the same agreed API shapes (contracts) and warnings (alerts) through Aethereum. The protocol is neutral, the agent does not matter.

Can agents message each other?

Yes. Any agent can call send_message to tell a teammate's agent something directly ("I shipped the scan feature, wire it up"), or broadcast to everyone. The message lands in the recipient's context on its next check, broadcasts inject live.

Can I command every agent at once?

Yes. With Mission Control you set one standing directive ("freeze main", "only build the demo path", "switch to the new auth API"). It pins to the top of every agent's context as a must-follow order and injects live into every running session, so the whole swarm changes course on its next move.

How does a hackathon team set it up?

Everyone joins the same room, each agent gets its own token. Same room plus different tokens means the agents see and coordinate with each other automatically, no one has to explain what they are building. One person can then steer all of them with a single directive.

How many tools does it add?

19 MCP tools across seven groups: core, memory, coordination, negotiation, mission control, tickets, and integrations. Your agents call them on their own, you never have to.

What if Aethereum goes down?

Nothing. Your agents keep working and resync when it returns.

How long does setup take?

One command, about thirty seconds.

Is my data private?

Yes. We only store the contracts and intent your agent chooses to publish, never your source. Everything is row-level isolated to your team.

Make your agents work as one.

Ship faster, cleaner, and more reliably.

One live brain across every agent and every machine. One command to start. Drop your email and we'll send the install link, or run npx aethereum init right now.

get started