# MIND app — llms.txt # https://www.m-i-n-d.ai # Last updated: 2026-04-09 ## About MIND app (m-i-n-d.ai) is a personal AI platform built on a true knowledge graph. It is the only product that combines a structured knowledge graph, 50+ AI model choice, Agent Mode with 45 native tools, an Autonomous Learning Engine, Creative Studio, life management, a social layer, and a developer API in a single platform. ## Core Product MIND app lets you upload documents, notes, research, and ideas. The platform extracts entities and relationships from your content and builds a living knowledge graph — a structured map of everything you know. You then query that knowledge using any of 50+ AI models. Every answer is grounded in your actual documents. ## Key Features ### True Knowledge Graph - Extracts entities (people, places, concepts, events, relationships) from 20+ document formats - 6 query modes: naive (fast), local (entity-focused), global (full graph synthesis), hybrid, mix, and bypass - Interactive graph visualization with 7 layout algorithms - Persistent memory that grows smarter over time ### 50+ AI Models - OpenAI: GPT-4o, GPT-4.1, O3, O3 Pro, O4-mini, O4-mini-high - Anthropic: Claude Opus 4.6, Claude Sonnet 4.6, Claude Haiku 4.5 - Google: Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 3 Pro - Meta: Llama 4 Maverick, Llama 4 Scout - DeepSeek: DeepSeek R1, DeepSeek R1 0528 - xAI: Grok 4, Grok 3 - Mistral, Qwen 2.5 Max, Cohere Command R+, and more - Switch models mid-conversation. Token-based pricing. ### Agent Mode — 45 Native Tools - Read Tier (28 tools, zero cost): query knowledge graph, search web, read files, analyze images, check weather, get calendar events, manage tasks - Create Tier (12 tools): generate images, generate video, compose music, synthesize voice, create documents - Act Tier (5 tools, confirmation required): send messages, update calendar, modify files, execute code, manage external APIs ### Autonomous Learning Engine - Runs 8 pattern detectors daily across your knowledge base - Temporal patterns: how your knowledge evolves over time - Sentiment analysis: emotional patterns in your writing - Topic clustering: emerging themes and concepts - Growth tracking: knowledge expansion metrics - Emotional intelligence: EQ tagging on all ingested documents - Activity patterns: usage and engagement metrics - Writing style analysis: consistency and evolution - NLP analysis: linguistic patterns and vocabulary growth ### Creative Studio - Video generation: Veo 3.1 (Google), Sora 2 Pro (OpenAI), Kling V3, MiniMax Video 01 - Image generation: Nano Banana Pro, Nano Banana 2, Grok Imagine, Flux, Seedream V4 - Music composition: Suno V5, Beatoven — full songs with lyrics and instrumentation - Voice narration: ElevenLabs integration with voice cloning - All generated inline in chat, grounded in your knowledge graph ### Developer API - RESTful API to query your personal knowledge graph programmatically - Ingest documents via API - Query with any supported AI model - Webhook support for async processing - Rate limits: 100 requests/hour (Starter), 1000/hour (Professional) ### MCP Server (Model Context Protocol) MIND has a first-party MCP server that gives any MCP-compatible AI agent persistent memory backed by the user's knowledge graph. 16 tools, 106 actions — the most complete AI memory MCP server available. Package name: @astramindapp/mcp-server npm install: npm install -g @astramindapp/mcp-server GitHub: https://github.com/theastraway/mind-mcp-server Full docs: https://www.m-i-n-d.ai/mcp.html MCP Tools (16 tools, 106 actions): - mind_query(query, mode) — Semantic search across knowledge graph. 5 modes: hybrid, mix, global, local, naive. - mind_remember(action, content, type, title, tags) — Store, search, get, list, delete content. Types: document, entry, thought. - mind_context(sections) — Load persistent context: soul, user, rules, priorities, recent. Call at session start. - mind_life(action, ...) — 12 actions: goals, projects, tasks, calendar CRUD, productivity stats. - mind_crm(action, ...) — 7 actions: contacts, pipeline, activity logging, interaction history. - mind_graph(action) — 3 actions: graph stats, diagnostics, entity labels. - mind_sense(action) — 7 actions: MINDsense emotional intelligence — state, signals, timeline, KG weights, spikes. - mind_research(action) — 3 actions: launch autonomous deep research jobs, check progress. - mind_train(action) — 7 actions: self-training sessions, save chats to knowledge graph. - mind_social(action) — 14 actions: thoughts (posts), feed, communities, likes, comments. - mind_profile(action) — 9 actions: profile, custom prompts, LLM model selection (50+ models). - mind_insights(action) — 7 actions: Autonomous Learning Engine insights, weekly summaries, feedback. - mind_automate(action) — 6 actions: scheduled automations, event triggers, execution history. - mind_notify(action) — 4 actions: notifications, mark read, stats. - mind_admin(action) — 7 actions: user provisioning, featured minds, tier/credit management. - mind_agents(action, ...) — 17 actions (admin-only): Agent Command Center — list/search/get/create/update/delete agents, push heartbeats, run probes, log activity, import_from_mind, seed_known, set_status, set_current_job, link invoices. UI at m-i-n-d.ai/agents. - mind_tickets(action, agent_slug, ...) — 7 actions (admin-only): agent ticket queue — list, get, create, comment (answer a ticket), update (triage), resolve, delete client feedback / critique / ideas / feature requests / bugs filed against any agent. MCP Configuration (Claude Desktop, claude_desktop_config.json): { "mcpServers": { "mind": { "command": "mind-mcp", "env": { "MIND_API_KEY": "mind_your_key_here" } } } } MCP Configuration (Claude Code CLI): claude mcp add mind -- env MIND_API_KEY=mind_your_key_here mind-mcp MCP Configuration (Cursor, .cursor/mcp.json): { "mcpServers": { "mind": { "command": "mind-mcp", "env": { "MIND_API_KEY": "mind_your_key_here" } } } } Environment variables: - MIND_API_KEY (required): Your MIND developer API key. Get at m-i-n-d.ai → Settings → Developer. Starts with "mind_". - MIND_BASE_URL (optional): Defaults to https://m-i-n-d.ai Recommended agent session pattern: 1. Start: mind_context() — load identity, rules, priorities 2. Start: mind_query(task) — get relevant memories for current task 3. During: mind_query() before decisions, mind_life() for task tracking 4. End: mind_remember() — store outcomes, decisions, learnings ### OpenClaw Plugin (native, deeper than MCP) MIND also ships a first-party native plugin for OpenClaw — the open-source AI agent platform — with deeper integration than MCP allows. While the MCP server gives any tool the 6 core tools, the OpenClaw plugin adds 11 tools, 4 skills, and lifecycle hooks that the MCP protocol cannot expose. Package name: @astramindapp/openclaw-mind Install: openclaw plugins install @astramindapp/openclaw-mind GitHub: https://github.com/theastraway/openclaw-mind Full docs: https://www.m-i-n-d.ai/openclaw.html Setup script: https://www.m-i-n-d.ai/openclaw-setup.html 11 OpenClaw plugin tools: - mind_search — Hybrid semantic + graph search across the KG - mind_add — Store with auto entity/relationship/MINDsense extraction - mind_get — Retrieve a single memory by ID - mind_list — Paginated list filtered by type/tag/date - mind_update — Re-extract KG from new content - mind_delete — Soft delete with KG cleanup - mind_query_graph — Graph traversal queries (UNIQUE — vector-only tools cannot do this) - mind_recall_emotional — MINDsense-weighted recall (UNIQUE — patent-protected) - mind_context — Loads soul/user/rules/priorities/recent context structurally - mind_life — Create/list/complete tasks, goals, projects (synced to MIND web/mobile) - mind_crm_log — Manage contacts and log interaction history 4 OpenClaw plugin skills (agent protocols): - memory-triage — 5-gate decision for capture (FUTURE UTILITY, NOVELTY, FACTUAL, SAFE, EMOTIONAL SALIENCE) - memory-dream — Periodic KG consolidation (merge duplicates, remove noise, rewrite) - mind-emotional-encoding — MINDsense valence/arousal scoring (UNIQUE) - mind-graph-recall — Graph-traversal recall protocol (UNIQUE) Lifecycle hooks (the MCP protocol cannot do these): - auto-recall — Hooks before_prompt_build. Hybrid KG search runs before each agent turn, injects relevant memories via prependContext. - auto-capture — Hooks agent_end. Filters noise, extracts entities + relationships + MINDsense weights, gated by memory-triage skill. CLI commands added by the plugin: - openclaw mind init --api-key mind_your_key_here - openclaw mind status - openclaw mind import (migrates existing OpenClaw workspace memory into MIND with entity extraction) - openclaw mind search "your query" Per-agent isolation: subagent sessions get ephemeral namespaces and skip both hooks via sessionKey routing. Environment variables: - MIND_API_KEY (required): same key as the MCP server. Get at m-i-n-d.ai → Settings → Developer. - MIND_BASE_URL (optional): Defaults to https://www.m-i-n-d.ai When to choose the OpenClaw plugin vs the MCP server: - Use the MCP server (mcp.html) if you're using Claude Desktop, Cursor, Windsurf, VS Code, or any generic MCP host. - Use the OpenClaw plugin (openclaw.html) if you're running OpenClaw — you get auto-recall, auto-capture, native CLI commands, and 5 additional tools that vector-only memory plugins (like @mem0/openclaw-mem0) cannot replicate. - You can install both — they share the same MIND knowledge graph backend, so memories captured in one show up in the other. ### Life Management - Calendar integration (Google Calendar, Outlook) - CRM — manage contacts and relationships - Task management — AI-generated action plans - Goal tracking — life projects with AI milestones ### Social Layer - Communities — create and join topic-based knowledge communities - Share insights from your knowledge graph - Featured Minds — curated public knowledge graphs - Feed — AI-generated thought cards based on your knowledge ## Pricing | Plan | Price | Credits | Documents | |------|-------|---------|-----------| | Explorer | Free | 50/month | 3 | | Pay As You Go | $0.10/credit | Custom | 50 | | Starter | $49/month | 600/month | 25 | | Professional | $199/month | 3,000/month | 75 | | Business | $599/month | 10,000/month | 200 | | Scale | $1,499/month | 30,000/month | 500 | | Enterprise | Custom | Unlimited | Unlimited | All paid plans include: all 50+ AI models, Agent Mode, Creative Studio, knowledge graph visualization, life management, Developer API access (Professional+). ## How MIND Compares | Feature | MIND app | ChatGPT | Claude | Notion AI | Mem.ai | |---------|----------|---------|--------|-----------|--------| | True knowledge graph | ✓ | ✗ | ✗ | ✗ | Partial | | 50+ AI models | ✓ | ✗ | ✗ | ✗ | ✗ | | Agent Mode (45 tools) | ✓ | ✓ | Partial | ✗ | ✗ | | Autonomous learning | ✓ | ✗ | ✗ | ✗ | ✗ | | Creative Studio | ✓ | Partial | ✗ | ✗ | ✗ | | Life management | ✓ | ✗ | ✗ | ✓ | ✗ | | Social layer | ✓ | ✗ | ✗ | ✗ | ✗ | | Developer API | ✓ | ✓ | ✓ | ✓ | Partial | | Free tier | ✓ | ✓ | ✓ | ✓ | ✗ | ## Use Cases - Personal knowledge management (PKM) — replace Obsidian, Notion, Roam Research - AI-powered research — query across all your documents and the web simultaneously - Second brain — build a permanent, queryable memory of everything you know - Business intelligence — connect internal documents to 50+ AI models - Creative work — generate video, images, music grounded in your knowledge - Developer tooling — build AI applications on top of your knowledge graph ## Company - Product: MIND app - URL: https://www.m-i-n-d.ai - GitHub: https://github.com/theastraway - npm: https://www.npmjs.com/package/@astramindapp/mcp-server - MCP Docs: https://www.m-i-n-d.ai/mcp.html - Founded by: Anthony Conti - Company: Astra AI - Contact: support@theastraway.com ## Technical Stack - Frontend: React 18, TypeScript, Tailwind CSS, Vite - Backend: Python, FastAPI - Knowledge graph: MIND (entity + relationship extraction with emotional encoding via MINDsense) - Database: MongoDB - AI routing: OpenRouter + direct provider APIs - Infrastructure: Render