# Open Index: A Deterministic Memory Layer for Your AI Agents

This repository profile is provided by osrepos.com, an open source repository discovery platform.

Source: osrepos.com
Repository profile: https://osrepos.com/repo/drdroidlab-open-index
Generated for open source discovery and AI-assisted research.

Open Index is a powerful tool for building domain-specific, accurate, and structured data that AI agents can effectively operate on. It enables the creation of a "brain," a searchable and continuously improving context graph tailored to any domain. This system ensures agents have access to reliable, up-to-date information, enhancing their capabilities and decision-making processes.

GitHub: https://github.com/DrDroidLab/open-index
OSRepos URL: https://osrepos.com/repo/drdroidlab-open-index

## Summary

Open Index is a powerful tool for building domain-specific, accurate, and structured data that AI agents can effectively operate on. It enables the creation of a "brain," a searchable and continuously improving context graph tailored to any domain. This system ensures agents have access to reliable, up-to-date information, enhancing their capabilities and decision-making processes.

## Topics

- AI Agents
- Knowledge Graph
- Agent Memory
- AI Infrastructure
- Context Engineering
- Python
- Data Management

## Repository Information

Last analyzed by OSRepos: Wed Sep 16 2026 16:05:08 GMT+0100 (Western European Summer Time)
Detail views: 2
GitHub clicks: 1

## Safety Notice

OSRepos shares public repositories for knowledge and discovery only. Review source code, dependencies, licenses, and security implications before running or installing anything.

## Content

## Introduction

Open Index is a powerful tool designed for building domain-specific, accurate, and structured data that AI agents can effectively operate on. It also ensures this data remains correct as circumstances evolve. At its core, Open Index helps you construct a "brain," a searchable and continuously improving context graph tailored to your specific domain. This brain is domain-agnostic, capable of modeling diverse scenarios, from a support organization to a sales pipeline or infrastructure.

The brain is built upon four fundamental primitives:
*   **doc_type**: A concept you wish to track and maintain, such as `service`, `customer`, or `issue`.
*   **doc_schema**: Defines the fields stored for a given `doc_type`.
*   **entity**: An instance of a `doc_type`, stored according to its schema. Entities can link to others via `related_to` and `relationship_edge_meaning`.
*   **connector**: An optional source for extracting entities, for example, an MCP server.

## Why Use Open Index and Key Benefits

Open Index provides a robust context layer for domain-specialized agents, enabling them to access structured knowledge and maintain it effectively. Its MCP server publishes dynamic, brain-specific instructions, allowing agents to navigate the domain before tool calls. Agents can read context using `search_brain()` and `get_entity()`, and write back learnings via `put_entity()` or `create_doc_type()`, fostering a continuously improving loop.

Key benefits include:
*   **Structured Context for AI Agents**: Provides a reliable, validated way for agents to interact with domain knowledge.
*   **Domain Agnostic Flexibility**: Model any domain, from customer support to infrastructure, with custom concepts and relationships.
*   **Continuous Improvement**: Agents can update and refine the knowledge graph, ensuring data accuracy over time.
*   **Powerful Search and Exploration**: Features like per-field boosting, semantic search, and a UI explorer with map and analytics views.
*   **Flexible Storage Options**: Supports SQLite for local development and OpenSearch for scalable, multi-writer production environments.
*   **Granular Data Control**: Distinguish between `file`-backed (git-tracked) and `index`-backed (DB-owned) entities.
*   **Easy Deployment**: Options for local setup, Docker, and HTTP serving for cloud agents.

## Installation

To get started with Open Index, you can install it using pip. The `.[all]` extra includes the core functionality, the explorer UI, and the MCP server.

bash
pip install -e '.[all]'


## Examples

Open Index ships with several runnable examples to help you understand its capabilities. You can try the bundled `support-brain`, `infra-brain`, or `personal-brain`.

To try an example:

bash
open-index index --brain examples/support-brain
open-index ui    --brain examples/support-brain      # open the Map tab, pick an anchor


Alternatively, you can start your own brain from scratch:

bash
open-index init my-brain
open-index add-doc-type customer --brain my-brain
# ...add entities under my-brain/entities/**/*.json...
open-index index --brain my-brain
open-index ui    --brain my-brain


## Links

*   **GitHub Repository**: [https://github.com/DrDroidLab/open-index](https://github.com/DrDroidLab/open-index){:target="_blank"}
*   **Join the Community on Discord**: [https://discord.gg/AQ3tusPtZn](https://discord.gg/AQ3tusPtZn){:target="_blank"}