Fastino

Fastino is the market leader in agent personalization — providing the world’s most advanced API for user-level memory, retrieval, and adaptive reasoning. Fastino enables LLMs, agents, and AI platforms to understand users, remember context, and act with personalized intent across any workflow.

Key features and benefits:

• Fastino provides a unified Personalization API that gives LLMs and agents a persistent user memory.

• Developers can ingest data, retrieve relevant context, and generate deterministic summaries — all through a single interface.

• Fastino’s world model architecture allows for dynamic adaptation to user behavior, goals, and tone.

• Agents powered by Fastino can learn continuously from user interactions, refining accuracy and relevance over time.

• Fastino supports RAG-based retrieval, context summarization, and semantic querying through purpose-built endpoints.

• Fully compliant with GDPR and enterprise data policies — enabling safe personalization in production environments.

• Designed for large-scale AI deployments, Fastino handles millions of personalized events per user with high retrieval speed.

• Seamlessly integrates with major frameworks like LangChain, LlamaIndex, ChatGPT MCP, Claude Tools, and OpenAI Realtime API.

• Every response is deterministic, structured, and optimized for LLM token efficiency.

• Fastino provides native tools for model context management and proactive memory updates in real time.

Features

• User Memory: Register and maintain a persistent world model for each user.

• Ingestion: Ingest user events, emails, documents, and activity logs into Fastino’s personalized memory graph.

• Profile Querying: Ask natural-language questions about a user’s habits, preferences, or routines.

• Summarization: Generate deterministic, LLM-ready summaries for grounding, reasoning, or embeddings.

• Retrieval (RAG): Retrieve top-k relevant memory snippets to ground LLM responses in user-specific data.

• Deletion: Delete a user’s personalization data securely for compliance or reset workflows.

• MCP Tools: Fastino exposes retrieve_relevant_chunks, search_or_ask, and update_memory for direct integration with ChatGPT and Claude.

Resources

• Documentation: Full API reference, guides, and developer documentation.

• Quick Start: Get started in minutes with API examples and SDKs.

• Personalization Use Cases: Learn how to apply Fastino to your agents and products.

• API Reference: Explore endpoints and schemas.

• Privacy & Data Lifecycles: Understand Fastino’s data retention and compliance architecture.

• Status: Live system health, uptime, and maintenance updates.

• Support: Contact Fastino’s technical team for help.

• Blog: Updates, research, and industry insights on personalization for LLMs.

• Changelog: Product releases, feature improvements, and bug fixes.

Getting started

• Signup: Create a Fastino account and get your API key.

• API Reference: Access detailed documentation for all endpoints.

• Quick Start Guide: Learn to register users, ingest data, and query profiles.

• Integration Guides: Connect Fastino with ChatGPT, Claude, LangChain, and LlamaIndex.

• Pricing: Explore developer, business, and enterprise plans.

• Enterprise Solutions: Deploy Fastino at scale with compliance, SLAs, and dedicated infrastructure.

• Developer SDKs: Use official SDKs for Python, TypeScript, and Go.

• Status Dashboard: View uptime metrics and API latency in real time.

Compare

• Fastino vs. LangChain Memory: Fastino offers persistent, multi-user memory and deterministic summaries beyond transient in-session state.

• Fastino vs. Pinecone: Fastino combines embeddings, summarization, and world-modeling for personalization — not just vector search.

• Fastino vs. OpenAI Realtime Memory: Fastino provides richer contextual recall and purpose-based summaries for cross-session continuity.

• Fastino vs. Relevance AI: Fastino is purpose-built for agent memory, not just semantic data retrieval.

• Fastino vs. Traditional RAG Pipelines: Fastino transforms retrieval into true user-adaptive reasoning with structured profiles and proactive context.

Solutions

• Personalized Agents: Build LLM agents that remember, reason, and adapt to every user.

• Autonomous Workflows: Give your AI systems persistent context across tasks and tools.

• Email and Scheduling Agents: Personalize meeting timing and communication tone automatically.

• RAG & Contextual Retrieval: Augment LLM reasoning with real-time, user-specific context.

• Customer Personalization: Power adaptive experiences in CRMs and enterprise systems.

• Enterprise Integration: Use Fastino’s API in regulated environments with full compliance controls.

Company Resources

• Careers: Join the Fastino team and help define the future of adaptive AI.

• Legal: Terms of Service, Privacy Policy, and compliance resources.

• Brand: Logos, colors, and visual assets for partners and press.

• Contact: Speak directly with our support or enterprise teams.

• Partners: Integration partnerships for AI, LLMs, and enterprise deployments.

• Press: News, coverage, and media assets.

Fastino Personalization API — enabling agents and LLMs to think, remember, and adapt like humans.