Labsco
tomstuhl logo

Nefesh

from tomstuhl

Real-time human state awareness for AI agents. Fuses biometric signals into a unified stress score (0-100) via Streamable HTTP.

๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅโœ“ VerifiedAccount requiredAdvanced setup

Nefesh MCP + A2A Server

A Model Context Protocol and Agent-to-Agent (A2A) server that gives AI agents real-time awareness of human physiological state.

What it does

Send sensor data (heart rate, voice, facial expression, text sentiment), get back a unified state with a machine-readable action your agent can follow directly. Zero prompt engineering required.

On the 2nd+ call, the response includes adaptation_effectiveness โ€” telling your agent whether its previous approach actually worked. A closed-loop feedback system for self-improving agents.

Adaptation Effectiveness (Closed-Loop)

Most APIs give you a state. Nefesh tells you whether your reaction to that state actually worked.

On the 2nd+ call within a session, every response includes:

{
  "state": "focused",
  "stress_score": 45,
  "suggested_action": "simplify_and_focus",
  "adaptation_effectiveness": {
    "previous_action": "de-escalate_and_shorten",
    "previous_score": 68,
    "current_score": 45,
    "stress_delta": -23,
    "effective": true
  }
}

Your agent can read effective: true and know its previous de-escalation worked. If effective: false, the agent adjusts its strategy. No other human-state system provides this feedback loop.

A2A Integration (Agent-to-Agent Protocol v1.0)

Nefesh is also available as an A2A-compatible agent. While MCP handles tool-calling (your agent calls Nefesh), A2A enables agent-collaboration โ€” other AI agents can communicate with Nefesh as a peer.

Agent Card: /.well-known/agent-card.json

A2A Endpoint: POST https://mcp.nefesh.ai/a2a (JSON-RPC 2.0)

A2A SkillDescription
get-human-stateStress state (0-100), suggested_action, adaptation_effectiveness
ingest-signalsSend biometric signals, receive unified state
get-trigger-memoryPsychological trigger profile (active vs resolved)
get-session-historyTimestamped history with trend

Same authentication as MCP โ€” X-Nefesh-Key header or Authorization: Bearer token. Free tier works on both protocols.

Source: nefesh-ai/nefesh-a2a ยท Docs: nefesh.ai/docs/a2a

MCP Tools

ToolAuthDescription
request_api_keyNoRequest a free API key. You MUST ask the user for their real email first. Do not invent or guess emails. The user receives a verification link they must click. Poll with check_api_key_status until ready.
check_api_key_statusNoPoll for API key activation using the same email the user provided. Returns pending or ready with API key.
get_human_stateYesGet stress state (0-100), suggested_action (maintain/simplify/de-escalate/pause), and adaptation_effectiveness โ€” a closed-loop showing whether your previous action reduced stress.
ingestYesSend biometric signals (heart rate, HRV, voice tone, expression, sentiment, 30+ fields) and get unified state back. Include subject_id for trigger memory.
get_trigger_memoryYesGet psychological trigger profile โ€” which topics cause stress (active) and which have been resolved over time.
get_session_historyYesGet timestamped state history with trend (rising/falling/stable).

How self-provisioning works

Your AI agent can get a free API key autonomously. You only click one email link.

  1. Agent asks you: "What is your email address?"
  2. Agent calls request_api_key(your_real_email). No API key needed for this call.
  3. You receive a verification email and click the link
  4. Agent polls check_api_key_status(your_real_email) every 10 seconds
  5. Once verified, the agent receives the API key and can use all other tools

Important: The agent must use your real, accessible email address. Disposable emails are blocked. The verification link must be clicked by you to activate the key.

Free tier: 1,000 calls/month, all signal types, 10 req/min. No credit card.

Quick test

After adding the config, ask your AI agent:

"What tools do you have from Nefesh?"

It should list the 6 tools above.

Pricing

PlanPriceAPI Calls
Free$01,000/month, no credit card
Solo$25/month50,000/month
EnterpriseCustomCustom SLA

CLI Alternative

Prefer the terminal over MCP? Use the Nefesh CLI (10-32x lower token cost than MCP for AI agents):

npm install -g @nefesh/cli
nefesh ingest --session test --heart-rate 72 --tone calm
nefesh state test --json

GitHub: nefesh-ai/nefesh-cli

Gateway Alternative

Want the AI to adapt automatically? Use the Nefesh Cognitive Compute Router. Change your LLM base URL to gateway.nefesh.ai and the gateway adjusts system prompt and temperature based on biometric state. Three modes: OpenAI-compatible (/v1/chat/completions), Anthropic passthrough (/v1/messages), and Unified Anthropic for any backend. Zero code changes.

GitHub: nefesh-ai/nefesh-gateway

Human State Protocol (HSP)

Nefesh implements and maintains the Human State Protocol, an open specification for exchanging human physiological state between AI systems. HSP defines a standard JSON format for stress scores, behavioral recommendations, and adaptation feedback so any agent can produce or consume human state data interoperably. Apache 2.0.

GitHub: nefesh-ai/human-state-protocol ยท Docs: nefesh.ai/docs/hsp

Documentation

Privacy

  • No video or audio uploads โ€” edge processing runs client-side
  • No PII stored
  • GDPR/BIPA compliant โ€” cascading deletion via delete_subject
  • Not a medical device โ€” for contextual AI adaptation only