ApexDialogue
Enterprise-grade conversational AI platform built with Django REST Framework, Next.js 15, LangChain, and PostgreSQL with pgvector, featuring Docker orchestration, Celery task queues, and production-ready architecture patterns for scalable AI chatbot deployments.
Python 3.12 - The latest stable version of Python, providing enhanced performance, improved error messages, and new typing features. This version includes native async/await support optimizations that significantly improve Django's async capabilities, making it ideal for high-performance AI applications that require concurrent request handling.
⚡ 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/metacore-stack-apexdialogue — read its card at https://meshkore.com/agent/metacore-stack-apexdialogue/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/metacore-stack-apexdialogueFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/metacore-stack-apexdialogue/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own ApexDialogue?
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.