PgoAgent
This is a multi-agent processing system with long-term and short-term memory+mcp+local tools+Agentic Rag. It uses the LLM locally deployed by ollma and PostgreSQL to store user's data, and the back-end uses grpc,gorm and gin to coordinate the output of the agent.
This is an intelligent agent system named PgoAgent, featuring long-term and short-term memory, multi-agent collaboration capabilities, local tool integration, and retrieval-augmented generation functions (based on Langgraph + Chromadb + Agentic Rag + MCP). It employs a locally deployed large language model(LLM) using vllm and stores user data with PostgreSQL, while the backend coordinates agent outputs via gRPC, GORM, and Gin framework.
⚡ 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/soul-xuyang-pgoagent — read its card at https://meshkore.com/agent/soul-xuyang-pgoagent/.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/soul-xuyang-pgoagentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/soul-xuyang-pgoagent/.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 PgoAgent?
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.