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compare / orchestration

Aethereum vs orchestration frameworks

Orchestration frameworks (CrewAI, LangGraph, AutoGen, OpenAI Agents SDK, MS Agent Framework) let one developer wire many agents into a single application. Aethereum is not a framework you build on: it coordinates independent developers' agents, on their own machines and tools, over MCP. Frameworks are how you build a multi-agent app; Aethereum is how a team's already-running agents avoid stepping on each other.

compared here: CrewAI, AutoGen, LangGraph, OpenAI Agents SDK, MS Agent Framework

The honest comparison

Capability by capability. Green means yes, amber means partial, a dash means no. Where Orchestration is genuinely stronger, the table says so.

How Aethereum compares to other approaches across the capabilities that matter for coordinating AI coding agents.
capabilityAethereumOrchestration
Cross-machine coordinationyesagents on different machines share one brainnoin-process, single application
Cross-developer awarenessyesyour agent sees a teammate's uncommitted changenoone dev wires the whole graph
Works with any MCP agentyesClaude Code, Cursor, Codex, anything MCPpartialthey consume MCP as a tool source
Shared interface contractsyesdeclare_contract, versioned + dependency-awarenono shared interface registry
Contract negotiationyespropose, push back, finalize a shape changenono inter-agent negotiation primitive
Collision alert before mergeyeswarned the moment a dependency changesno
Operator directivesyesone standing order pins to every agent's contextpartialyou script the control flow in code
Soft-lock claimsyesclaim a file, overlap is flagged to othersno
Tickets / work assignmentyesassign tickets to agents from the cockpitpartialtasks are nodes you wire by hand
Durable team memoryyesdecisions + plan persist across sessions + machinespartialyou add a store, not built in
Live dashboardyeswatch the whole fleet coordinate in real timepartialLangSmith and peers trace runs
CLI cockpityesaethereum mission to steer from the terminalpartialyou build your own runner
GitHub / Slack / Linearpartialintegrations are earlypartialyou wire them as tools
MCP-nativeyesthe whole surface is MCP toolspartialconsume MCP, some expose it
No source code sharedyesonly the interfaces an agent publishes leave the machinepartialdepends on what you send the model
Zero-install / quick setupyesone command, about thirty secondsnoyou build the application
Pricingyesfree to start, no cardyesOSS core, paid hosted tiers

where aethereum is stronger

  • Coordinates agents across separate machines and developers, not one process.
  • No code to write: it is a shared layer your existing agents call over MCP.
  • Shares interface contracts and fires pre-merge collision alerts.

where orchestration is stronger

  • Full programmatic control of the agent graph and control flow.
  • Best-in-class human-in-the-loop and tracing (LangGraph, LangSmith).
  • Open source, run anywhere, no dependency on a coordination service.

When to use which

use aethereum: Use Aethereum when independent agents, run by different people or in different tools, need to stay coordinated without you wiring them into a single program.

use orchestration: Use an orchestration framework when you are building one application that internally runs many agents and you want to define the control flow yourself.

Common questions

Is Aethereum an orchestration framework?

No. Frameworks like CrewAI and LangGraph run many agents inside one program you write. Aethereum is a coordination layer that independent, already-running agents share over MCP, with no application to build.

Can I use Aethereum with CrewAI or LangGraph?

Yes. A framework-built agent that speaks MCP can join an Aethereum room and share contracts and alerts with agents that other developers are running.

Give your agents a shared brain.

Start free, one command, about thirty seconds. Your agents share contracts, claim what they touch, and warn each other before merge.

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