Now accepting early access signups

A mind for every
AI agent

Awareness, emotional intelligence, relationships, proactiveness, and deep memory for any AI agent. One API call.

# One command. Your agent gets a mind.
npx mind0 init --api-key m0_...

Free to start · Works with any agent · Any LLM provider

What one API call returns

Everything your agent needs to understand its human

This is what your agent knows. Not after weeks of setup. After one call.

Structured JSON response
// From conversations alone { "emotional_intelligence": { "current_state": { "valence": 0.35, "arousal": 0.70, "primary_emotion": "anxious", "confidence": 0.82 }, "baseline": { "calibrated": true, "data_points": 11, "avg_valence": 0.60, "avg_arousal": 0.50, "volatility": 0.06 }, "trajectory": { "7_day_trend": "declining" }, "crisis_assessment": { "tier": 0, "signals": [] }, "behavioral_signals": { "agency_score": 0.8, "hedging_language_trend": "low", "session_frequency_trend": "stable", "late_night_sessions_7d": 0 }, "engagement_guidance": { "tone_directive": "calm, direct", "recommended_approach": "Lead with single action", "topics_to_lean_into": ["quick wins"], "topics_to_avoid": ["long-term planning"] } }, "memories": [ { "memory": "Fundraising Series A, targeting $3M", "importance": 8, "sensitivity": "internal", "topics": ["fundraising"] }, { "memory": "David at Sequoia introduced by Rachel", "importance": 7, "sensitivity": "internal", "topics": ["investors", "relationships"] } ], "personal_context": { "identity": { "name": "Sarah Chen", "company": "Acme Corp", "timezone": "America/New_York" }, "communication_profile": { "message_style": "direct", "peak_activity_hours": [9, 10, 14] }, "critical_dates": { "board_meeting": "2026-04-01" } }, "personal_rules": [ { "name": "no-early-meetings", "rule": "Never schedule before 10am" } ], "temporal": { "date": "March 31, 2026", "day_of_week": "Monday", "time_of_day": "Afternoon", "workday": true }, // With Gmail connector "email_awareness": { "summary": { "needs_you": 2, "unread_count": 15, "inbox_health": "needs attention" }, "threads": { "at_risk_count": 1 }, "insights": [ { "type": "follow_up_risk", "priority": "high", "message": "David (Sequoia) — 2 days" } ], "key_relationships": [ { "name": "David", "email": "david@sequoia.com", "interaction_count": 8 } ], "proactive_triggers": [ { "type": "follow_up_needed", "action": "Respond to David today", "priority": "high" } ] }, // With Calendar connector "calendar_awareness": { "today": { "events": [ { "summary": "Team standup", "start_time": "10:00 AM", "attendee_count": 4 }, { "summary": "Board meeting", "start_time": "2:00 PM", "attendee_count": 3, "video_link": "meet.google.com/..." } ], "schedule_density": "moderate" }, "week_ahead": { "total_meetings": 10, "busiest_day": "Wednesday", "focus_time_available": "11am-2pm today" }, "proactive_triggers": [ { "type": "meeting_prep", "context": "Board meeting in 26h", "priority": "high" } ] }, // With website URL "business_profile": { "core_business": "AI platform for...", "business_stage": "seed", "target_market": "Enterprise SaaS" }, // Composite — synthesizes all available data "living_context": { "synthesis": "Sarah Chen — CEO at Acme Corp...", "emotional_signal": "high stress, determined", "priority_context": ["fundraise", "board prep"], "confidence_score": 0.85 }, "relationships": { "contacts": [ { "name": "David", "type": "person", "email": "david@sequoia.com", "source": "email", "interaction_count": 8 } ], "edges": [ { "type": "introduced_by", "from": "David", "to": "Rachel", "confidence": 0.7 } ], "stats": { "contacts": 83, "edges": 67 } }, "intelligence": { "score": 0.72, "next_unlock": "Connect Slack for +15%" }, "meta": { "latency_ms": 1247, "cost_usd": 0.003, "connectors_active": ["gmail", "calendar"] } }
system_prompt_context inject into system prompt
## Current Context Monday March 31, 2:30 PM EST (afternoon) Workday. Peak hours: 9-10am, 2pm. ## Emotional State Anxious — more stressed than baseline (3 days). Baseline: focused (calibrated over 11 sessions). Behavioral: high agency, no hedging language. Guidance: calm, direct tone. Lead with single action. Lean into quick wins. Avoid long-term planning discussions. ## Calendar Today: Team standup 10am, Board meeting 2pm. Free: 11am–2pm (focus block). This week: 10 meetings, busiest day Wednesday. ## Email Signals 2 messages need your attention. 1 at-risk thread: David (Sequoia) — 2 days. Inbox health: needs attention (15 unread). ## Living Context Sarah Chen — CEO at Acme Corp, fundraising Series A targeting $3M. Solo founder, 1st startup. More stressed than usual this week. Board meeting tomorrow with key investors. David from Sequoia hasn't replied in 2 days. ## Relevant Memories - Fundraising Series A, targeting $3M - David at Sequoia, introduced by Rachel - Prefers morning deep work blocks - Board meetings trigger anxiety ## Key People David — Sequoia, investor. Introduced by Rachel. 8 email interactions. No reply 2 days. 83 contacts, 67 relationships mapped. ## Proactive Triggers - follow_up_needed: David, 2 days (from email) - meeting_prep: Board meeting in 26h (from cal) ## Business Profile AI platform, seed stage. Target: Enterprise SaaS. ## Personal Rules - Never schedule before 10am - Prefers direct communication

Integration

Four ways in. Any agent. Zero hassle.

Pick the path that fits your stack. All four deliver the same intelligence.

One command — OpenClaw, Claude Code, Cursor, Windsurf
# Auto-detects your agent runtime and configures MCP npx mind0 init --api-key m0_... # → Detects Claude Code → adds to ~/.claude/mcp_servers.json # → Detects OpenClaw → adds to MCP config # → Agent immediately has awareness tools # Your agent gets these tools: # • get_context(user_id, message) # • ingest_conversation(user_id, messages) # • search_memories(user_id, query) # • get_contacts(user_id) # • add_relationship(user_id, from, to, type)

Works with any MCP-compatible agent. Largest audience on day one.

Universal — works with any HTTP-capable agent
# Step 1: Before your LLM call — get context curl -X POST https://api.mind0.dev/v1/context \ -H "Authorization: Bearer m0_..." \ -d '{"user_id": "u_123", "message": "What should I focus on?"}' # → Returns: awareness + memories + EI + relationships + alerts # → Inject system_prompt_context into your system prompt # Step 2: After your LLM call — ingest the conversation curl -X POST https://api.mind0.dev/v1/ingest \ -H "Authorization: Bearer m0_..." \ -d '{"user_id": "u_123", "conversations": [...]}' # → Extracts memories, updates EI, enriches relationship graph

Two calls. Full control. Works with Paperclip, custom agents, any language, any framework.

Zero code changes — any language, any LLM provider
# Change one URL. Mind0 handles everything. client = Anthropic( base_url="https://proxy.mind0.dev/v1/anthropic" ) # Works with OpenAI too: client = OpenAI(base_url="https://proxy.mind0.dev/v1/openai") # And Google: client = genai.Client(base_url="https://proxy.mind0.dev/v1/google") # Auth via headers: # X-Mind0-Key: m0_... # X-Mind0-User: u_123 # Response includes debug headers: # X-Mind0-Memories-Injected: 12 # X-Mind0-EI-State: anxious # X-Mind0-Intelligence-Score: 0.72

We intercept, enrich, forward, and learn. Your agent code stays untouched. Any language — Python, TypeScript, Go, Rust, Ruby.

One line — wraps your existing Python client
from mind0 import enhance # Wrap your client. Use exactly like before. agent = enhance( client=anthropic, user_id="u_123", api_key="m0_..." ) # Behind the scenes: # BEFORE: retrieves awareness + EI + memories → injects into system prompt # AFTER: extracts memories + updates EI + enriches graph (async) response = agent.messages.create( model="claude-sonnet-4-6", messages=[{"role": "user", "content": "What should I focus on?"}] )

pip install mind0 — wraps Anthropic and OpenAI clients. Post-response learning is async and non-blocking.

Six intelligence modules

Everything that makes understanding human

Each module works from conversations alone. Connect Gmail or Calendar to unlock more.

♥

Emotional Intelligence

Per-message valence and arousal scoring. 14-day rolling baseline. Trajectory detection. Crisis alerts. Engagement guidance that adapts tone and approach.

Works from conversations alone
◎

Relationship Graph

Extracts people and companies from every conversation. Maps who knows who and how. Introduction detection. Confidence grows with each mention.

Conversations · +200 contacts with Gmail
!

Proactiveness

Detects follow-up risks, meeting prep needs, ghosting, and task piling. Delivered via webhook or included in context. Never miss what matters.

Conversations · Much richer with connectors
★

Awareness Synthesis

Priorities ranked by urgency. Calendar awareness. Email signals. All synthesized and relevance-filtered to the current conversation.

Best with Gmail + Calendar connected
≡

Living Context

A continuously updated narrative of who the user is, what they're working on, and what matters right now. The single most impactful context block.

Improves with every conversation
◆

Deep Memory

3-tier hybrid retrieval. Importance scoring. Supersession chains. Automatic consolidation. Attention-aware ordering that puts what matters first.

Works from conversations alone

Beyond memory

Memory tools give your agent a notebook.
Mind0 gives it a brain.

Capability Mem0 Zep SuperMemory Mind0
Memory storage & retrieval ✓ ✓ ✓ ✓ 3-tier
Emotional intelligence — — — ✓
Relationship graph — — — ✓
Proactiveness — — — ✓
Awareness synthesis — — — ✓
Living context narrative — — — ✓
Gmail / Calendar connectors — — — ✓
Ready-to-inject context block — — — ✓

Pricing

Start free. Scale when ready.

Free
$0
500 calls / month
  • All conversation-based modules
  • Memory, EI, relationships
  • REST API + MCP
  • Hosted storage
Starter
$99 /mo
5,000 calls / month
  • Everything in Free
  • Proxy URL integration
  • Priority support
Pro
$249 /mo
25,000 calls / month
  • Everything in Starter
  • Gmail + Calendar connectors
  • Full awareness synthesis
  • Proactiveness + webhooks
  • Bring your own DB
Scale
$499 /mo
100,000 calls / month
  • Everything in Pro
  • Priority support + SLA
  • All storage options
  • Custom rate limits

40% off with your own LLM API key · $0.005/call overage

Build agents that
truly understand

Join the waitlist for early access. Be among the first to give your agent a mind.