One shared context.
Every agent.
Not one part — a bridge across your agents, an aggregator of your sources, a shared memory, and a portal. One unified, living context every agent reads and writes, over MCP or API.
Every agent is on its own island.
You paste the same context into one tool, then the next, then the next — every session. Context is fragmented, duplicated, and lost. Nothing one agent learns is available to another.
Claude Code
its own context · copy-paste
ChatGPT
its own context · copy-paste
Codex
its own context · copy-paste
Gemini
its own context · copy-paste
One hub. Every agent connected.
Agents don't just read the context — they update it. Sources flow in and become one unified context — and people can work with it directly through the Portal.
🪁 Echo Context Hub
one unified, living context · shared memory
Three roles in one.
Bridge
A gateway that unifies decoupled agents — Claude Code, ChatGPT, Codex, Gemini — on one shared context, over MCP or API.
Aggregator
A brokerage that ingests and unifies context from disparate sources — Google Drive, Jira, Notion — into one place.
Memory
A living context the agents read and write, so what one learns persists across every tool and session.
It's not just an endpoint. It's a portal.
The Context Hub has its own interface. Work with the consolidated context directly — or through whichever agent you already use. Either way, everyone is on the same source of truth.
Everyone on the same context — whatever agent they use.
Different people, different agents, one shared context.
A business team — e.g. Morgan Stanley
Today: everyone sits with ChatGPT, in isolation — disconnected from the business.
With Echo Context Hub: the same people, all on one shared business context.
A hybrid product team
Product managers on ChatGPT and engineers on Claude Code — all connected to the same context, building from one source of truth.
Built for individuals, teams, and enterprise.
Individuals
Start free. Connect the agents you already use — ChatGPT, Claude Code, Cursor — and get one context across all of them. Stop re-pasting.
Start freeTeams
One shared context for your whole team. PMs in ChatGPT, engineers in Claude Code — everyone on the same source of truth. Invite teammates, shared memory, who-knows-what.
Start freeEnterprise
Org-wide governed context. Per-user login + attribution (who decided what), connect your real systems (Drive/Slack/Jira/Notion), and review-and-approve governance on every AI write.
Book a demoConnect in minutes.
One-time setup. Point the agents you already use at your shared context — over MCP or API — and they're reading and writing the same source of truth.
- 1
Create your hub
Sign up and get your Echo Context Hub endpoint and access token.
- 2
Connect ChatGPT
Pro · tested ✓Add a custom MCP connector and point it at your Echo Context Hub URL.
- 3
Connect Claude Code
tested ✓Add the Echo Context Hub MCP server to your config with your URL + token.
- 4
Connect anything else
MCP · APICodex, Gemini, or your own app — over MCP or the REST API.
# Claude Code
claude mcp add echo-context https://api.echocontext.tallerlabs.ai/mcp
# ChatGPT → Settings → Connectors → add MCP server
https://api.echocontext.tallerlabs.ai/mcpStart free. Connect an agent in minutes.
No enterprise sales process. Sign up, point your agents at it over MCP or API, and the shared context starts paying off immediately — then it spreads.