EDNA — On-Device Human Sensing for AI for LangChain
space.openos/edna
On-device human sensing for AI: EDNA ID continuity and live human context via MCP.
client:LangChain
transport:streamable-http
tools:18
Install EDNA — On-Device Human Sensing for AI in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"edna": {
"transport": "streamable_http",
"url": "https://openos.space/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- edna.submit_proof
- edna.get_human_proof
- edna.get_signal_vector
- edna.get_human_context
- edna.get_verification_info
- edna.id.genesis
- edna.id.feed
- edna.id.status
- edna.id.memory
- edna.id.verify_resume
- edna.id.integrity
- edna.id.export_state
- edna.id.revoke
- edna_identity_create
- edna_identity_verify
- edna.get_response_guidance
- edna.get_writing_process
- edna.get_live_brief