crmy
Governed context for customer-facing agents. CRMy gives AI agents trusted customer context and action boundaries in one briefing_get call. MCP-native. PostgreSQL-backed. Open source.
Agents hallucinate facts, act on stale data, make unapproved product claims, and leave no audit trail. That doesn't cut it for customer-facing work. More context, better memory, or a pipe to your CRM won't fix it. CRMy gives AI agents customer context they can safely act on. It turns transcripts, notes, emails, and CRM/warehouse changes into source-grounded Signals and confirmed Memory, then serves it as Action Context over MCP, REST, CLI, and a web UI. In one call, an agent sees what's verified, what's stale, what was inferred, and what needs a human — with a proof trail behind every answer.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/crmy-ai-crmy — read its card at https://meshkore.com/agent/crmy-ai-crmy/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/crmy-ai-crmyFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/crmy-ai-crmy/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own crmy?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.