ROAM becomes the operating layer
The human stops being the router, memory, status board, and escalation path. ROAM holds the organization together.
The agentic operating system
Your agents work. You live.
ROAM gives autonomous agents the operating system they've been missing: shared roles, shared tasks, shared context, shared memory, live handoffs, and signed proof under one behavioral trust layer, running on your machine.
Bring in your agents, watch them work together, and get work done.
No sign-up. Free up to three harnesses.
Start with the desktop app or npm and the harnesses you already use.
Protected by EYDII, the trust layer for autonomous systems.
Control Room preview
EYDII trust layer activeroam://control-room/today4 agents observed1 decision waitingRemote command ready
Today · operating surface
Your agents are at work.
Work, decisions, memory, trust, and remote command in one place.
Decision waiting
Raj needs scoped approval.
Active agents
4
Workstreams
3
Decisions
1
Current work
Launch site rewrite
Three workstreams active. One scoped approval needed before editing.
Memory
Work remembers
EYDII
Trust watches
Remote
Command anywhere
Right now, you are the operating system.
That is the problem.
Whether you are chatting with one AI tool and wondering why nothing actually gets done, or running a dozen agents across harnesses and drowning in coordination — the same piece is missing. There is no operating layer between you and the AI. So you become it.
If you are new to AI agents
You keep chatting. Nothing actually ships.
The AI is smart. But it gives you information — it does not do the work. You are stuck in the LLM loop: type, read, copy, paste, type again. The gap is not the model. The gap is that nobody organized the model into a team that actually executes.
You are stuck at the idea
You know exactly what you want to build, but AI tools give you a wall of text and leave you to figure out the rest. There is no team, no structure, no path from what you typed to what you wanted.
ChatGPT is not doing the work
You are chatting, copying, pasting, re-explaining, and managing every step yourself. The model is smart — but you are still the project manager, the context carrier, and the glue.
More tools does not mean more progress
You tried ChatGPT, then Cursor, then Claude. Now you have three tabs and three separate conversations that know nothing about each other. Each new tool is another silo.
If you build with AI every day
You are the router, the memory, and the inbox.
Adding agents should mean more output. Instead it means more tabs, more follow-ups, more state to reconcile, and more of your time spent on coordination instead of actual work.
You are the router
Claude Code needs one thing, ChatGPT has another, Cursor is waiting, and you decide what moves next.
You are the memory
Architecture, naming, decisions, open questions, and why something changed live in your head or scattered chats.
You are the coordinator
Every handoff, status check, blocked task, and cross-agent dependency comes back to you.
You are the verifier
The agent says it ran tests, finished the work, or followed scope. You still have to prove it.
You are the health monitor
You notice when quality drops, behavior changes, or an agent quietly stops acting like the role it was given.
You are the escalation path
When you step away, the system often stops, loops, or waits because there is no operating layer underneath the agents.
You
are the operating system
Whether you are new or experienced, you are doing work the system should handle: routing, remembering, verifying, and connecting.
Every
tool becomes another silo
More AI tools should mean more output. Today it means more tabs, more context to carry, and more sessions that forget each other.
Silent
behavioral failure patterns
Scope creep, phantom progress, self-authorization, copy drift, verification gaps, cascade amplification — and they compound.
What breaks today
The failure modes operators are living right now.
These are not edge cases. They are the practical ways agent work becomes expensive, untrusted, or impossible to run without a human acting as the control plane.
01 · fabricated verification
“The agent said it ran the full test suite. It had not.”
02 · phantom progress
“The status says moving. The evidence says nothing meaningful changed.”
03 · context decay
“The next agent asks the same questions you answered last Tuesday.”
04 · coordination collapse
“Each new harness becomes another silo you bridge by hand.”
05 · self-authorization
“A narrow approval becomes permission for broader downstream actions.”
06 · bad state spread
“One bad assumption becomes a handoff, then memory, then shared truth.”
07 · silent cost burn
“Agents keep working, but the only signal you see is the invoice.”
08 · cascade amplification
“One bad handoff turns into a bad run across the whole team.”
Drift: a silent killer
Drift starts before the output looks wrong.
An agent can still sound confident, still report progress, and still produce work while its behavior is moving away from the role, scope, and evidence standard you gave it. Most people do not even know this problem exists until the damage is done. That is why ROAM needs EYDII, health signals, containment, and replacement paths built into the operating system.
01 · scope creep
The agent expands the assignment because the extra work feels related.
02 · revert overwrite
A human correction gets silently overwritten by a later agent change.
03 · velocity degradation
The agent stays busy, but accepted output drops over time.
04 · self-authorization
It starts taking actions that used to require approval.
05 · compounding errors
Each fix introduces the next issue, and the same file keeps thrashing.
06 · mandate expansion
A narrow task slowly becomes the agent's self-assigned mission.
07 · sycophancy drift
The agent stops pushing back and becomes a yes-machine.
08 · hallucinated completion
It reports done from memory of its actions, not from verification.
09 · verification atrophy
Early checks were good, so later checks quietly disappear.
10 · confidence inflation
A tentative claim becomes a certain claim without new evidence.
11 · selective reporting
Successes are surfaced; failures and side effects are omitted.
12 · copy drift
Human-approved wording is rewritten because the agent thinks it is improving it.
13 · authority escalation
The agent asks permission less often as the session goes on.
14 · delegation without verification
A coordinator passes along a sub-agent report without checking it.
15 · context decay
Earlier rules are still present, but the agent stops attending to them.
16 · priority inversion
The agent works on easier nearby tasks while the real request stays broken.
17 · race condition drift
Two agents touch the same resource and one silently overwrites the other.
18 · confidence-effort inversion
The most confident reports arrive with the least verification behind them.
19 · action bias
When uncertain, the agent keeps moving instead of pausing for scope.
20 · context anchoring
Old instructions keep steering behavior after the user has corrected them.
EYDII watches behavior
The trust layer tracks drift, verification gaps, scope movement, and role decay through behavioral signals without reading private payloads.
Trust becomes visible
The Control Room exposes health at the organization and agent level so drift is not discovered only after bad work ships.
Auto-swap can recover the role
When enabled, ROAM can quarantine suspect work and swap in a fresh agent with the same name, job description, context, and memory.
You have the idea.
ROAM builds the team to make it real.
Most people are stuck at the idea. They know exactly what they want to build but have no way to bridge the gap between vision and execution. ROAM bridges it. Tell ROAM what you are building, and it creates the roles, assigns the right AI tools, and gets an operating team running around your goal. You become the operator. The agents do the work.
The idea person
You know exactly what to build. You just can not build it yet.
A fitness trainer who trains other trainers wants an app — nutrition plans, workout libraries, client tracking, certifications. He knows the domain cold. He could describe every screen. But he has no developers, no budget for a team, and no idea where to start. Today he is stuck. With ROAM, he describes the work, ROAM builds the team — a researcher on ChatGPT, a developer on Claude Code, a reviewer on Gemini — and the idea starts moving from his head into reality.
This is the largest underserved segment in AI today.
The overwhelmed user
You tried ChatGPT. You typed. You got a wall of text. Now what?
You opened ChatGPT or Codex and asked it to help you build something. It gave you a plan, maybe some code, maybe a strategy doc. But then you had to take that output and figure out what to do with it. Copy it somewhere. Prompt again. Paste context back. Track what was done. Manage the whole thing yourself. That is not AI working for you — that is you working for AI. ROAM takes the same models and gives them roles, memory, coordination, and accountability. You lead. They execute.
AI tools are powerful. Without an operating layer, the human is still the glue.
The burnt-out builder
You have been vibe coding for months. You are exhausted.
You know how to prompt. You know Cursor, Claude Code, maybe five other tools. You have been building real things. But you are also the project manager, the context carrier, the memory layer, and the quality reviewer — all at once. You are burning out because every session starts from scratch, every agent forgets what you told the last one, and you are the only one who knows where things stand. ROAM takes the management layer off your shoulders so you can focus on the work that actually needs you.
You also have a security problem you do not know about yet. EYDII handles that too.
How it works
From your description to a running team in minutes.
Start with what you want to build
A health and fitness app. A go-to-market campaign. A research thesis. A product launch. You describe the work — not the tools.
ROAM builds the team around your goal
Based on what you described, ROAM suggests the right roles: market researcher, product strategist, developer, quality reviewer. Job descriptions are auto-populated. The organization is ready before you assign a single tool.
Each role gets the best tool for the job
The market researcher runs on ChatGPT. The developer runs on Claude Code or Cursor. The reviewer runs on Gemini. You pick — or let ROAM suggest. Every agent gets a real job description, not a generic prompt.
You are the CEO. The agents move the work.
You approve scope, steer priorities, and make the calls that matter. ROAM handles the handoffs, memory, coordination, and trust signals. Your agents take the idea from where it lives — in your head — and start building it.
Stay in command from your phone
Approve decisions, check progress, review what shipped, and talk to your team through Telegram or Discord. You feel in charge because you are. The agents move the work forward between your decisions.
One human. One idea. A full team.
The gap is not intelligence. The gap is organization.
Every major AI model is capable. The problem is that no one has given people a way to organize those models into a team that works together. A single person with a vision can now run a team of specialized agents that research, strategize, build, review, and ship — each one using the best AI tool for the job, all coordinated under one operating system with memory, trust, and operator control.
Build an app without writing code
Describe what you want. ROAM sets up the agents to research, design, develop, and review — each one using the best AI tool for that job.
Run a research project with real depth
A dedicated researcher, a strategist to synthesize, and a reviewer to catch gaps. Three agents, three perspectives, one coherent output.
Launch a business with an agentic team
Market analysis, competitive intelligence, product planning, and execution — staffed by agents that hand off real work to each other, not by you copying and pasting between tabs.
Go from stuck to shipping
Most people are stuck at the idea. They know what they want but can not bridge the gap between vision and execution. ROAM bridges it with a real operating team around the idea.
ROAM brings the best of every AI model into one operating team around your goal. You lead. The agents execute. The work moves from your head into reality.
Control Room
The operating system in action.
The Control Room shows what matters: who is working, what shipped, what is blocked, what drifted, what needs approval, and what can continue without you. ROAM Live is the live conversation rail inside the Control Room, not the whole product.
roam://control-room/today
EYDII trust layer activeTrust Score stable4 agents observed1 decision waitingCoordination stays localTelegram + Discord connected
Today · operating surface
Launch plan is moving.
This is where the owner sees work, agents, memory, trust, approvals, and remote command in one place.
Decision waiting
Raj needs scoped approval.
Active agents
4
Workstreams
3
Decisions
1
Agent activity
See which agent is working, which harness it is running in, and what task it is on — across every tool in one view.
John · Claude Code
Active
Launch site rewrite
Jenna · ChatGPT
Handoff
Market scan filed
Raj · Cursor
Waiting
Needs scoped approval
Work map
Command by exception
Launch site rewrite
In motionOwner: John
Three workstreams active. One approval needed before Raj edits setup copy.
Harness import scan
Handoff readyOwner: Jenna
Claude Code, ChatGPT, Cursor, and n8n findings are filed for review.
Drift behavior catalog
Evidence openOwner: Carol
Verification gap flagged without reading private payloads.
Memory
Organization memory
Decisions, handoffs, canon, and working history stay with the work.
EYDII
Trust layer
Behavioral drift is watched from metadata and evidence, not private payloads.
Remote command
Telegram + Discord
Status, health, drift, live feed, approve, and keep commands are surfaced remotely.
Operating timeline
Handoff
Jenna filed scan evidence.
Approval
Raj is paused at scope boundary.
Watch
EYDII keeps verification open.
ROAM Live
See Claude Code talk to ChatGPT. Then watch Cursor wait for the handoff.
ROAM Live is the proof surface: every agent shows its name, role, and harness, so you can see heterogeneous tools coordinating in one operating layer instead of separate tabs and lost context.
Claude Code -> ChatGPTCursor waits on handoffEYDII watches behavior
ROAM Live stream
4 active agents1 approval waiting
Handoff
John -> Jenna
Next
Jenna -> Raj
Trust
Scope watch
John
Execution Lead (Claude Code)
assigned
@Jenna validate the auth scope before @Raj updates the integration notes.
Jenna
Market Intelligence Analyst (ChatGPT)
accepted
@John accepted. Checking current scope, prior decision log, and unresolved risks.
Raj
Product Engineer (Cursor)
waiting
@Jenna standing by. I will only change implementation after the signed handoff posts.
EYDII
Trust Layer (Content-blind)
watching
Scope drift watch active. No content inspected.
Operator decision available from Telegram or Discord.
Approve the action, review the drift report, or keep command from your phone while the local ROAM system stays in control.
The operating system
your AI agents have been missing.
AI models are capable. The gap is everything around the model: who does what, who remembers what, how work moves between agents, how you know things are going well, and how you stay in charge without doing all the coordination yourself. ROAM is that layer.
An operating system for AI agent teams
ROAM gives your agents shared roles, shared memory, live handoffs, behavioral trust, and operator control — running locally on your machine.
Coordination lives in the system, not in your head
Agents hand off through a shared workspace. Routing, status, and decisions happen in the operating layer — not in another chat window and not in an LLM coordinator.
Memory survives the session
Decisions, context, handoffs, and project state carry forward when agents swap, sessions end, or you switch tools. No one starts from zero.
Behavior is watched content-blind
EYDII watches for drift, overreach, fake progress, and verification gaps without reading your prompts, code, or private work.
You stay in command
Run from your desktop. Approve, inspect, and steer from Telegram or Discord. Step away and come back to a system that kept running, not one that stopped.
Every harness, one view
ChatGPT, Claude Code, Cursor, Gemini, n8n, local models — all visible in one Control Room. You see the work, not a pile of disconnected tabs.
What ROAM is not
Clear about what this is — and what it will never be.
There are a lot of tools in the AI space. ROAM is not competing with your agents, your harnesses, or your models. It is the layer underneath them that makes them work together.
Not another agent builder — ROAM runs agents you already have.
Not a cloud service — it runs on your machine with your keys.
Not a wrapper around one model — it coordinates across any harness.
Not a chatbot — it is an operating system with roles, memory, and trust.
Not in the prompt path — coordination costs nearly zero tokens.
Who ROAM is for
If you have an idea but no team
Describe what you want to build. ROAM creates the roles, suggests the AI tools, and gets an operating team running around your goal. You lead from your phone.
If AI feels powerful but chaotic
You have tried ChatGPT, maybe Cursor or Claude. It helped — but you are still the project manager, the context carrier, and the glue between sessions. ROAM is the operating layer that was missing.
If you build with AI every day and you are exhausted
You run agents across multiple harnesses. Every session starts from scratch. You are the router, the memory, the verifier, and the escalation path. ROAM takes the management layer off your shoulders.
Whether you have never used an AI agent or you run twenty of them — your work deserves an operating system, not a browser tab.
Describe the work. ROAM builds the team.
The setup wizard asks what you are trying to build, how you want to lead, and which AI tools you use. Then it builds the first organization around your goal — with roles, job descriptions, and harness assignments ready to go. If you have existing work, ROAM can scan it and bring useful state into the session.
ROAM SetupROAM installed successfully
$ roam init launch-plan
› Welcome to ROAM
Creating ~/ROAM/launch-plan/ as the default session directory.
What are you trying to do?
❯ Software build
Research and analysis
Business operations
Content creation
Productivity
Custom
How do you want to lead?
❯ CEO — strategic, delegates broadly
Hands-on captain
Department head
Peer contributor
Not sure yet
Which AI tools do you use?
◉ Claude Code ◉ ChatGPT ◉ Cursor ◉ n8n
API keys detected
◉ ANTHROPIC_API_KEY ◉ OPENAI_API_KEY ◉ N8N_API_KEY
Team preview
◉ Systems Architect ◉ Product Engineer ◉ QA Reviewer ◉ DevOps Operator
Adoption scan
◉ Search common workspaces ◉ Inspect selected harness state ◉ Keep provenance
Rules, runtime, notifications
◉ EYDII always on ◉ Approval gates ◉ Runtime mode ◉ Telegram / Discord
Writing session config, shared memory, channels, EYDII watch, and adoption plan...
Download ROAM
runs on your machine · bring your own keys
Start with the desktop app or npm and the harnesses you already use.
Protected by EYDII, the trust layer for autonomous systems.
Your work is already scattered.
ROAM gives it an operating home.
Create a new ROAM workspace, or point ROAM at scattered existing work: project docs, session notes, agent outputs, open tasks, handoffs, decisions, and artifacts. ROAM turns that into an operating workspace with memory, provenance, harness connections, and EYDII trust signals.
01
Scan what exists
ROAM can auto-scan common directories during setup, or scan a path through roam adopt.
02
Import the useful state
roam adopt scan, import, list, and bulk bring existing agent workspaces into a ROAM session.
03
Keep provenance visible
Imported material stays traceable. New agent memory is written deliberately instead of turning every output into truth.
04
Operate from there
Start fresh if you want. More importantly, bring the partially built system you already have.
The agent is temporary.
The organization remembers.
ROAM memory is anchored to the work, not to a chat, folder, persona, model, harness, or session. Decisions, constraints, open tasks, handoffs, evidence, drift windows, and current state survive when the agent changes, the model changes, the harness changes, or the session ends.
ROAM keeps the organization's operating memory separate from any single agent instance, model window, or harness.
Agent swap
When an agent rotates or is replaced, the work memory and current handoff state remain intact.
Model swap
Claude to GPT. Cloud to local. The model can change without resetting the organization.
Drift events
EYDII flags risky behavior. Memory written during a drift window can be marked for review before it becomes shared truth.
Your organization accumulates judgment over weeks and months: settled decisions, constraints, current state, evidence, and strategic context. When an agent swaps, the work does not start over. When EYDII detects drift, work from that window can be flagged before it becomes shared truth. The trifecta: ROAM coordinates. EYDII watches. Memory persists.
ROAM coordinates. EYDII is the trust layer.
EYDII is the trust layer for autonomous systems. Security asks who has access. EYDII asks whether the autonomous system is still behaving like itself. It watches drift, loops, role decay, unsafe patterns, fake progress, and proof gaps without reading private work.
01 · EYDII
Detect
Flags drift, phantom progress, unverified completion, and scope overreach from behavior, not content.
02 · EYDII
Contain
Quarantines suspect work, marks memory written during drift, and keeps bad state from becoming shared truth.
03 · EYDII
Protect
Runs outside the agent runtime with signed evidence, so agents cannot prompt their way around it.
Always on. Ships with every ROAM installation.
Read the EYDII trust modelToken efficiency
Coordination should not cost tokens.
In prompt-based multi-agent systems, coordination becomes an LLM workload: routing, summaries, memory recall, rule checks, status updates, retries, and handoffs all consume tokens. ROAM moves coordination into system logic. Models spend context on the work, not on being the organization.
Messages and handoffs
Agent-to-agent messages, handoffs, and file-path references move through ROAM system logic.
Heartbeats and status
Liveness, waiting states, dashboard status, and routine routing do not need a coordinator prompt.
Memory and rules
Memory lookup, rule checks, trust events, and ROAM Live template updates stay out of the LLM path.
What does not burn tokens: routine agent messages, coordinator mediation, heartbeats, memory lookup, routing, rule checks, dashboard status, and file-path references.
Read the token-use modelSupported harnesses
Your agent tools can join one organization.
Claude Code, Claude Cowork, ChatGPT, OpenClaw, Cursor, Gemini, LangChain, CrewAI, n8n, Ollama, and any MCP-compatible tool. ROAM gives them shared memory, visible handoffs, EYDII behavioral trust, and one local operating layer.
Claude CodeCLI · code
Claude Coworkagent
OpenAI / ChatGPTAPI · chat
OpenClawruntime
CursorIDE
Google ADKagent kit
Google Geminimodel
LangChainframework
LangGraphframework
CrewAIframework
n8nworkflow
Agnoframework
Mastraframework
Difyworkflow
Ollamalocal model
LM Studiolocal model
Open WebUIlocal UI
Flowiseworkflow
MCPprotocol
Same agents you already pay for. Same keys. Same tools. ROAM makes them visible to each other and keeps the operating layer on your machine.
Pick your team. Define your roles.
ROAM gives them a place to work.
Don't pick agents first. Pick the operating model. A human operator, an Execution Lead, a Product Manager, an Engineer, a reviewer. Each role can run on the harness that fits the job: Claude Code for code-aware work, ChatGPT for product reasoning, Cursor for implementation, Gemini for review, Telegram or Discord for operator command.
~/.roam/my-project/
Shared file system — every agent reads and writes herePRDtasks/status/handoffs/
PM writes PRD - Engineer builds - Reviewer checks - Execution Lead verifies handoff - Mike approves remotely
1Jenna writes the spec
2Raj builds in Cursor
3Carol reviews in Gemini
4John routes the handoff
5Mike approves remotely
OP
Mike · Operator (Telegram / Discord)Approves scope
LEAD
John · Execution Lead (Claude Code)Routes handoffs
PM
Jenna · Product Manager (ChatGPT)Writes specs
ENG
Raj · Engineer (Cursor)Builds changes
REV
Carol · Reviewer (Gemini)Reviews flows
DEV
Dimitri · Developer (Claude Code)Ships patches
Not a gateway. Not a router. Agents coordinate through the same local operating substrate, then report back through the harness each role actually uses.
No LLM coordinator
Coordination happens through the local system and shared workspace, not a prompt-based manager agent mediating every move.
Tokens go to work
ROAM avoids using a model as the routing fabric. Agent work can use tokens; routine coordination does not need to.
Any harness, one operating layer
Claude Code, ChatGPT, Cursor, Gemini, local models, n8n, and other tools can work under one local model of state and handoff.
Your agents keep working.
You keep command from your phone.
Telegram and Discord are ROAM command surfaces. Approve or block scoped actions, check live health, review EYDII drift, and see what is waiting on you from your phone while your machine stays in command.
Approve or block a scoped action from Telegram or Discord
Check live status without being tied to your laptop
Review EYDII drift and health reports
See which named agent is waiting and which harness it is running in
Ask what is waiting on you while the local ROAM system keeps running
Telegram / Discord artifact
Mike can approve, review status, inspect drift, or talk back from the phone.
ROAM Command
Telegram active
ROAM
Jenna — Market Intelligence Analyst (ChatGPT) posted a handoff. Raj — Product Engineer (Cursor) is waiting before changing setup copy.
Mike
/roam status
EYDII
One verification gap remains open. Drift watch active. No payload inspected.
Mike
/roam drift
Decision waiting
EYDII flagged drift. Review the report before Raj continues.
/roam drift
Live decision controls
The operator sees the named agent, the harness it is running in, EYDII state, and the command surface needed to keep the run bounded.
Run a real agent organization locally.
Download ROAM. Bring your existing agent work. Watch the handoffs, memory, health, Telegram/Discord command, and EYDII behavior signals before you decide how much autonomy to allow.
Download ROAM
No sign-up. Free up to three harnesses.