sentient-agent-framework
This python package provides an agent framework that can be used to build agents that serve Sentient Chat events.
In addition to supporting OpenAI API compatible agents, Sentient Chat supports a custom, open source event system for agent responses. These events can be rendered in Sentient Chat to provide a richer user experience. This particularly useful for streaming responses from an AI agent, when you might want to show the agent's work while the response is being generated, rather than having the user wait for the final response. This python package provides an agent framework that can be used to build agents that serve Sentient Chat events.
⚡ 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/chris-aubin-sentient-agent-framework — read its card at https://meshkore.com/agent/chris-aubin-sentient-agent-framework/.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/chris-aubin-sentient-agent-frameworkFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/chris-aubin-sentient-agent-framework/.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 sentient-agent-framework?
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.