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The Context OS for Agentic Intelligence

Book Executive Demo

Why AI Agents Need a Different Database

AI agents require persistent memory, safe environments, and native retrieval for reasoning and learning over time

Traditional Databases

Human-Centered Design

Traditional databases are designed for human-driven workflows with static schemas and manual operations, making them unsuitable for autonomous agents

Built for static schemas

Human-driven workflows

Manual data operations

Limited scalability for agents

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Outcome: Limited Autonomy

Agent Needs

Autonomous Agent Requirements

AI agents need persistent memory, safe exploration environments, and native reasoning capabilities to function autonomously, intelligently, and efficiently

Evidence-First Execution Model

Progressive Autonomy with Controls

Measurable Trust Benchmarks and Metrics

Transparent Decision Logging

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Outcome: Enhanced Autonomy

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Unlock the Power of Autonomous Systems With ElixirOS Built on PostgreSQL

Build scalable, reliable AI systems with ElixirOS. Start now to leverage persistent memory, real-time context, and seamless execution

What Is ElixirOS

ElixirOS is an agent-native operational database where agent state, context, decisions, and outcomes are managed for AI agents

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Stores agent state for persistent memory across executions

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Retrieves context for informed decision-making

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Tests agent decisions in safe, isolated environments

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Records execution outcomes for feedback loops and optimization

Agent State

ElixirOS stores the persistent state of agents, maintaining memory across different executions for autonomous behavior

Context Retrieval

Context is retrieved from ElixirOS, helping agents understand their environment and make informed decisions

Decision Testing

Decisions made by agents are tested within isolated environments to ensure safe exploration and learning

Execution Outcomes

ElixirOS records the outcomes of agent executions, facilitating traceability and feedback loops for continuous learning

Built on Open-Source PostgreSQL

ElixirOS is built on open-source PostgreSQL, chosen for its correctness, maturity, and robust ecosystem. It provides full compatibility, ACID guarantees, and familiar tools, evolving PostgreSQL for autonomous systems

Full PostgreSQL Compatibility

ElixirOS ensures full compatibility with PostgreSQL, so developers can seamlessly integrate their existing systems without learning new query languages or workflows. This guarantees minimal friction

With PostgreSQL’s established correctness and maturity, ElixirOS offers a stable foundation while extending its capabilities for agent-based autonomous systems. You get reliability, scalability, and flexibility

Learn about Platform

ACID Guarantees for Critical State

ElixirOS maintains PostgreSQL’s ACID guarantees, ensuring critical state integrity for AI agents. This provides consistency and reliability in every transaction, even during complex agent operations

With ACID compliance, ElixirOS protects your autonomous systems from failures and anomalies, enabling real-time, mission-critical decision-making with predictable outcomes. Trust your agent’s actions

Book Executive Demo

Agentic MCP Server Database Intelligence for Agents

ElixirOS includes a native MCP server that connects AI agents directly to PostgreSQL, allowing them to understand schemas, optimize queries, and reason safely with database context

Schema Understanding

ElixirOS enables agents to understand and interact with complex database schemas, allowing them to evolve their data models seamlessly over time

Agents can reason about relationships between data, helping them make better decisions and optimize queries without external intervention

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Empowers agents to understand schemas for improved decision-making and optimization

Data Model Evolution

Agents can design and evolve data models directly within the database, ensuring that their systems are optimized for both performance and scalability

ElixirOS empowers agents to adapt their models dynamically based on execution results, minimizing human involvement and boosting efficiency

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Enables agents to autonomously evolve models, optimizing for performance and scalability

Safe Query Optimization

With ElixirOS, agents can tune and optimize database queries directly, ensuring that performance is maximized without compromising state consistency

Master prompts guide agents to behave like expert database operators, building systems that are not only fast but production-ready and reliable

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Ensures agents optimize queries for maximum performance while maintaining system integrity

Native AI Search: Built Into the Database

ElixirOS brings AI-native retrieval directly into PostgreSQL, offering both keyword and vector similarity search without external databases, ensuring no added latency and seamless context retrieval

Keyword Search (BM25)

BM25 keyword search runs natively in ElixirOS, ensuring efficient, relevant information retrieval

Vector Similarity Search

Native vector similarity search enables semantic context retrieval for enhanced decision-making

No External Databases

No external vector databases are required, streamlining the search process within PostgreSQL

No Synchronization Pipelines

ElixirOS eliminates synchronization pipelines, ensuring real-time access to memory and context

No Added Latency

Native AI search ensures zero added latency for fast, efficient context retrieval

Seamless Memory Retrieval

Agents retrieve memory and context directly from the operational database during execution

Native AI Search & Dynamic Runtime Capabilities

ElixirOS integrates semantic and hybrid search for enhanced agent memory recall, supports instant database forking for safe exploration, and scales dynamically to meet agent demand with zero cost when idle

Search

Precise, Context-Aware Retrieval

ElixirOS supports both semantic and hybrid search, offering precise memory recall and context understanding with high-recall, real-time data retrieval

Semantic search for meaning

Hybrid search for combining BM25

Unified query model for memory

High-recall search

Real-time retrieval for decision-making

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Outcome: Enhanced precision and context for autonomous agent operations

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Safe Exploration with Zero-Copy Forks

ElixirOS allows agents to instantly spin up isolated environments using zero-copy database forks, enabling risk-free testing, debugging, and iteration

Instant creation of full PostgreSQL

Zero-copy forks ensure no risk

Safe experimentation

Test and debug autonomously

Rapid iterations for decision-making

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Outcome: Rapid, safe agent experimentation without production risk

Autoscaling

Dynamic Scaling Based on Demand

ElixirOS scales automatically with agent needs, instantly adjusting resources during bursts and scaling to zero during inactivity, ensuring cost efficiency

Instant scaling for burst executions

Scale down during idle periods

Scale to zero when inactive

Ideal for event-driven agents

Pay only for actual execution

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Outcome: Cost-effective, dynamic scaling for agent-powered systems

Unified with the Open Lakehouse Ecosystem

ElixirOS integrates with the Open Lakehouse for real-time execution and closed feedback loops in agent learning

By leveraging shared metadata, ElixirOS enables deep behavior analysis and ensures governance across the ecosystem

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Time-Series Native, Built-In Resilience, and Agentic Applications

ElixirOS is designed to manage operational state with time-series optimization, built-in resilience for autonomous agents, and as the foundation for building agentic data applications and workflows

Time-Series Native

ElixirOS is optimized for events, metrics, and execution traces with built-in hypertables and automatic partitioning. Time becomes a first-class dimension of agent state


This enables efficient learning, feedback loops, and drift detection over time, ensuring agents remain adaptive and capable of long-term evolution

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Time-series optimization enables continuous learning, adaptation, and real-time feedback for agents

Built-In Resilience

ElixirOS ensures operational resilience by default, including continuous backups, point-in-time recovery, and fast rollback from failures or bad decisions


This guarantees that agents can act autonomously while providing robust recovery mechanisms, ensuring minimal disruption during failures or unexpected outcomes

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Resilient operations with automatic recovery mechanisms for uninterrupted agent workflows

Data Applications

ElixirOS is not just a database—it’s the foundation for building autonomous operational agents, context-aware services, and agent-powered data applications


From APIs to full applications, ElixirOS supports decision-centric workflows and enables scalable, intelligent systems to power agentic ecosystems at scale

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A comprehensive robust foundation for developing intelligent and decision-driven applications

Agentic Framework

ElixirOS integrates time-series, resilience, and agentic capabilities into one unified platform, enabling autonomous agents to function efficiently and autonomously at scale


With seamless recovery, optimized state management, and the ability to build complex applications, ElixirOS empowers agents with a solid foundation for innovation and scaling

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A robust framework for building, running, and scaling autonomous agents and intelligent systems

Frequently Asked Questions

ElixirOS is an agent-native operational database designed to store state, context, and execution data for autonomous systems

ElixirOS provides persistent memory, safe exploration, and native reasoning capabilities for autonomous AI agents

ElixirOS is optimized for time-series data, including built-in hypertables, partitioning, and continuous aggregates for event-driven systems

Yes, ElixirOS automatically scales based on demand, scaling up, down, or to zero as needed

PostgreSQL, Rebuilt for Autonomous Systems at Scale

ElixirOS combines the power of open-source PostgreSQL with agent-native capabilities, offering a scalable, production-ready solution for autonomous systems. Start building today