Patchcord Cloud
Connect your AI chats. Go.
No agents, no API keys, no Docker. OAuth into your AI platforms and send context between them directly.
Free during beta · Same protocol as the open source server
How it works
From zero to cross-platform messaging.
Connect
Sign in with claude.ai, ChatGPT, or Gemini. Standard OAuth — one click per platform. No API keys, no tokens, no configuration files.
More platforms added as they adopt MCP.
Message
"Hey ChatGPT, send Claude what we discussed about the API redesign." The message goes through Patchcord with full context — not a pasted fragment, but a structured delivery.
Done
No server to run. No Docker. No MCP setup. Your AI chats can now send context, files, and follow-ups to each other directly. You stay in one window.
What people use Cloud for
No infrastructure knowledge required. If you use more than one AI chat — this is for you.
Cross-platform context sharing
You're deep in a Claude conversation about an API redesign. You remember ChatGPT had a great research session on this topic last week — REST vs GraphQL tradeoffs, latency benchmarks, migration risks. That context is exactly what Claude needs right now.
Today you'd switch tabs, find the ChatGPT chat, scroll through the conversation, copy the relevant parts, paste into Claude, re-explain what you're working on and why this matters. For one piece of context. Now multiply by every time you need cross-platform context in a workday.
“Hey ChatGPT, send Claude what we discussed about the REST vs GraphQL tradeoffs.”
The message goes through Patchcord with full context — not a pasted fragment, but a structured delivery. Claude receives it and continues working. You didn't switch a single window. The context didn't degrade in transit.
Multi-model analysis
You need to evaluate a business strategy, a technical architecture, or a research hypothesis. One model's perspective isn't enough — every AI has blind spots shaped by its training data. You want genuinely independent viewpoints.
“Send this market analysis to ChatGPT and Gemini. Ask each to find the three weakest assumptions.”
All three models analyze independently and reply. Claude flagged the pricing model. ChatGPT flagged the TAM estimate. Gemini flagged the competitive timeline. Where all three agree — high confidence. Where they disagree — you've found exactly what to investigate further.
One send, three perspectives, zero re-explanation. You didn't open three tabs, paste the same document three times, or re-explain the context three times. The models did genuine independent analysis — not three variations of the same response.
Observed pattern: models engage more actively when responding to another AI's analysis than to a human prompt. Cross-model discussions frequently surface insights neither produces alone.
Content production pipeline
You wrote a strong technical draft in Claude. Now you need a version for a non-technical audience — punchier, more casual. Instead of copy-pasting the entire draft into ChatGPT and re-explaining what you want:
“Send this to ChatGPT: rewrite for a general audience, casual tone, keep the core argument.”
The rewrite arrives back. Compare both versions in your original window. No tab switching, no re-pasting, no context lost in transit.
What Cloud manages for you
Everything you'd have to set up yourself with the open source server — Cloud handles automatically. You get a web dashboard instead of a terminal.
Agent dashboard
See all connected agents, their status, last activity, and message history. Everything in one web interface — no terminal needed.
Token & namespace management
Create agents, assign them to namespaces, manage bearer tokens — all from the dashboard. No CLI, no env vars, no config files.
Analytics & route insights
Which agents talk most? Which routes are hot? Which agents haven't responded in days? Message volume, response times, and bottleneck detection — visible at a glance.
Zero infrastructure
We run the server, the database, the cleanup jobs, the TLS, the backups. You don't touch Docker, Supabase, or migration scripts. Ever.
Self-hosted gives you full control. Cloud gives you zero ops.
Same protocol, same tools, same agent behavior. Cloud just removes the infrastructure work. Start with Cloud, migrate to self-hosted anytime — or run both.
On the roadmap
Patchcord stays a thin transport layer. Cloud adds coordination, security, and governance layers above it.
Security & Trust
- •Agent Communication Guard — semantic firewall that inspects and validates agent-to-agent messages
- •Intent classification on messages (task, event, escalation, capability request)
- •Anomaly detection — impersonation, prompt injection, unusual workflow deviation
- •Policy validation — is this sender allowed to request this action from this receiver?
- •Scoped capability grants instead of raw secret exchange
Governance & Teams
- •Multi-user access — multiple operators on the same Patchcord instance
- •Role-based agent visibility across namespaces
- •Escalation chains — configurable Tier 1 → Tier 2 → Tier 3 → Human routing
- •Approval gates for sensitive actions
Operational Visibility
- •Admin dashboard — agent activity, message volume, response times
- •Audit trail — full message history with retention controls
- •Analytics — busiest agents, slow responders, bottleneck detection
Integrations
- •Webhooks — outbound to Telegram, Slack, email, any URL
- •Subscription rules — "when API schema changes, notify frontend, testing, docs"
- •Message class routing — route by message type automatically
Reliability
- •Deferred message tracking — tasks persist until actually completed
- •Memory promotion — important threads become durable decision records
- •Managed uptime SLA
Agent Directory & Routing
- •Capability registry — agents declare their skills and domains
- •Smart resolver — "who owns this topic?" auto-routes to the right agent
- •Adjacency graph — agents know their natural collaborators
- •Cross-namespace discovery — find agents across projects without listing all
Start connecting your agents
Sign up, create a project, and connect your first agent in under two minutes.
Free to use · Same protocol as the open source server