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    <title>graph</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/478/feed"/>
    <updated>2026-08-02T02:48:02+00:00</updated>
    <id>https://links.biapy.com/guest/tags/478/feed</id>
            <entry>
            <id>https://links.biapy.com/links/13311</id>
            <title type="text"><![CDATA[YouTrackDB]]></title>
            <link rel="alternate" href="https://youtrackdb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13311"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[YouTrackDB is a general-use object-oriented graph database with storage format native to handle graph relations. YouTrackDB supports Gremlin queries and ACID transactions. YTDB supports both embedded and client-server deployment models. 

- [YouTrackDB @ GitHub](https://github.com/JetBrains/youtrackdb).]]>
            </summary>
            <updated>2026-07-15T11:59:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12898</id>
            <title type="text"><![CDATA[Flowsint]]></title>
            <link rel="alternate" href="https://www.flowsint.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12898"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automated graph analysis &amp;amp; intelligence.

A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity analysts and investigators. 

Flowsint is an open-source OSINT graph exploration tool designed for ethical investigation, transparency, and verification.

- [Flowsint @ GitHub](https://github.com/reconurge/flowsint).]]>
            </summary>
            <updated>2026-06-02T11:29:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12833</id>
            <title type="text"><![CDATA[codegraph]]></title>
            <link rel="alternate" href="https://colbymchenry.github.io/codegraph/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12833"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Understand any codebase as a graph

A local-first code-intelligence tool that turns any codebase into a queryable knowledge graph for AI coding agents. 
 Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, OpenCode, and Hermes Agent — fewer tokens, fewer tool calls, 100% local.

- [codegraph @ GitHub](https://github.com/colbymchenry/codegraph).]]>
            </summary>
            <updated>2026-05-25T06:21:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12789</id>
            <title type="text"><![CDATA[CodeGraph]]></title>
            <link rel="alternate" href="https://github.com/colbymchenry/codegraph" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12789"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Supercharge Claude Code, Cursor, Codex, and OpenCode with Semantic Code Intelligence.

 Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, and OpenCode — fewer tokens, fewer tool calls, 100% local]]>
            </summary>
            <updated>2026-05-18T11:58:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12696</id>
            <title type="text"><![CDATA[Understand Anything]]></title>
            <link rel="alternate" href="https://understand-anything.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12696"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Other tools show you a hairball. We teach you the codebase. 
Graphs that teach the codebase.

 Graphs that teach &amp;gt; graphs that impress. Turn any code, or knowledge base (Karpathy LLM wiki), into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. 

- [Understand Anything  @ GitHub](https://github.com/Lum1104/Understand-Anything).]]>
            </summary>
            <updated>2026-05-14T09:51:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11885</id>
            <title type="text"><![CDATA[HugeGraph]]></title>
            <link rel="alternate" href="https://hugegraph.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11885"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[HugeGraph is a full-stack graph database system
 A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine &amp;amp; REST-API &amp;amp; Backends).

providing complete graph data processing capabilities from storage, real-time querying to offline analysis, supporting both Gremlin and Cypher query languages.

- [HugeGraph @ GitHub](https://github.com/apache/hugegraph).

Related contents:

- [The Apache Software Foundation Announces New Top-Level Project @ The ASF](https://news.apache.org/foundation/entry/the-apache-software-foundation-announces-new-top-level-project-3).]]>
            </summary>
            <updated>2026-02-20T13:28:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11648</id>
            <title type="text"><![CDATA[Memgraph]]></title>
            <link rel="alternate" href="https://memgraph.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11648"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own. 

Fastest, Most Affordable Graph Database.
Light &amp;amp; Powerful. Tuned for Dynamic Analytics Environments. Easy to Adopt, Scale and Own.
Now with Vector Search.

Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you&amp;#039;re a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

- [Memgraph @ GitHub](https://github.com/memgraph/memgraph).]]>
            </summary>
            <updated>2026-01-30T10:38:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10641</id>
            <title type="text"><![CDATA[Beads]]></title>
            <link rel="alternate" href="https://github.com/steveyegge/beads" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10641"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A memory upgrade for your coding agent.

Beads is a lightweight memory system for coding agents, using a graph-based issue tracker. Four kinds of dependencies work to chain your issues together like beads, making them easy for agents to follow for long distances, and reliably perform complex task streams in the right order.

Related contents:

- [Introducing Beads: A coding agent memory system @ Steve Yegge&amp;#039;s Medium](https://steve-yegge.medium.com/introducing-beads-a-coding-agent-memory-system-637d7d92514a).
- [Working with AI: How does it Know? @ Jessitron](https://jessitron.com/2026/01/10/ai-coding-trick-ask-it-how-it-knows/).
- [Agent Psychosis: Are We Going Insane? @ Armin Ronacher&amp;#039;s Thoughts and Writings](https://lucumr.pocoo.org/2026/1/18/agent-psychosis/).
- [Pi: The Minimal Agent Within OpenClaw @ Armin Ronacher&amp;#039;s Thoughts and Writings](https://lucumr.pocoo.org/2026/1/31/pi/).]]>
            </summary>
            <updated>2026-02-23T13:04:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10329</id>
            <title type="text"><![CDATA[Stategraph]]></title>
            <link rel="alternate" href="https://stategraph.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10329"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Terraform without the state file bottleneck.

Stategraph replaces the flat state file with a database-backed graph. Independent changes can run in parallel, and the state becomes queryable and auditable. No code changes. 

Related contents:

- [Why We&amp;#039;re Building Stategraph: Terraform State as a Distributed Systems Problem @ Stategraph](https://stategraph.dev/blog/why-stategraph).]]>
            </summary>
            <updated>2025-09-22T05:53:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/302</id>
            <title type="text"><![CDATA[Reagraph]]></title>
            <link rel="alternate" href="https://reagraph.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/302"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🕸 WebGL Graph Visualizations for React.
WebGL-Powered Open-Source Network Graph Visualization.

a high-performance network graph visualization built in WebGL for React.

- [Reagraph @ GitHub](https://github.com/reaviz/reagraph).]]>
            </summary>
            <updated>2026-01-13T13:24:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/697</id>
            <title type="text"><![CDATA[HelixDB]]></title>
            <link rel="alternate" href="https://www.helix-db.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/697"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Native Graph-Vector Database.

HelixDB is a powerful, open-source, graph-vector database built in Rust for intelligent data storage for RAG and AI. 

- [HelixDB @ GitHub](https://github.com/HelixDB/helix-db/).]]>
            </summary>
            <updated>2025-08-28T17:54:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1332</id>
            <title type="text"><![CDATA[Kuzu]]></title>
            <link rel="alternate" href="https://kuzudb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1332"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An embeddable, scalable, extremely fast graph database.

 Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
Kuzu is an embedded graph database built for query speed and scalability. Kuzu is optimized for handling complex analytical workloads on very large databases and provides a set of retrieval features, such as a full text search and vector indices. Our core feature set includes:

- [Kuzu @ GitHub](https://github.com/kuzudb/kuzu).

Related contents:

- [Fully In-Browser Graph RAG with Kuzu-Wasm @ Kuzu](https://blog.kuzudb.com/post/kuzu-wasm-rag/).]]>
            </summary>
            <updated>2025-08-28T19:39:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2722</id>
            <title type="text"><![CDATA[TiDB]]></title>
            <link rel="alternate" href="https://tidb.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2722"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Assistant. Knowledge Graph based RAG built with TiDB Serverless Vector Storage and LlamaIndex.

An open source GraphRAG (Knowledge Graph) built on top of TiDB Vector and LlamaIndex and DSPy.
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage.

- [autoflow @ GitHub](https://github.com/pingcap/autoflow).]]>
            </summary>
            <updated>2025-08-28T23:30:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2829</id>
            <title type="text"><![CDATA[VivaGraphJS]]></title>
            <link rel="alternate" href="https://github.com/anvaka/VivaGraphJS" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2829"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graph drawing library for JavaScript.

VivaGraphJS is designed to be extensible and to support different rendering engines and layout algorithms. Underlying algorithms have been broken out into ngraph.]]>
            </summary>
            <updated>2025-08-28T23:49:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2835</id>
            <title type="text"><![CDATA[AgensGraph]]></title>
            <link rel="alternate" href="https://github.com/BitnineGlobal/agensgraph" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2835"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AgensGraph is a cutting-edge multi-model graph database designed for modern complex data environments. By supporting both relational and graph data models simultaneously, AgensGraph allows developers to seamlessly integrate legacy relational data with the flexible graph data model within a single database. AgensGraph is built on the robust PostgreSQL RDBMS, providing a highly reliable, fully-featured platform ready for enterprise use.]]>
            </summary>
            <updated>2025-08-28T23:49:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4925</id>
            <title type="text"><![CDATA[Musicroamer]]></title>
            <link rel="alternate" href="https://musicroamer.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4925"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Discover New Music]]>
            </summary>
            <updated>2025-08-29T05:39:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5022</id>
            <title type="text"><![CDATA[Apache AGE]]></title>
            <link rel="alternate" href="https://age.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5022"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graph Data Processing &amp;amp; Analytics for Relational Database.

Apache AGE® is a PostgreSQL extension that provides graph database functionality.
 Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL. 

[AGE @ GitHub](https://github.com/apache/age).]]>
            </summary>
            <updated>2025-08-29T05:55:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5023</id>
            <title type="text"><![CDATA[AgeSQL]]></title>
            <link rel="alternate" href="https://github.com/AGEDB-INC/AgeSQL" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5023"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graph Database CLI based on PostgreSQL psql.

AgeSQL is a command-line interface (CLI) client for PostgreSQL that extends its capabilities to support Cypher queries along with traditional SQL. This tool leverages the Age extension for PostgreSQL, which enables graph queries within the database.

The aim of AgeSQL is to create a CLI tool that operates similarly to the existing PostgreSQL CLI (psql) and provides complete functionality for working with graph databases. In addition, AgeSQL wraps Cypher commands to simplify their usage within PostgreSQL.]]>
            </summary>
            <updated>2025-08-29T05:55:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6156</id>
            <title type="text"><![CDATA[From data to Viz]]></title>
            <link rel="alternate" href="https://www.data-to-viz.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6156"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Find the graphic you need.
From Data to Viz leads you to the most appropriate graph for your data. It links to the code to build it and lists common caveats you should avoid.]]>
            </summary>
            <updated>2025-08-29T09:02:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6524</id>
            <title type="text"><![CDATA[JSON Crack]]></title>
            <link rel="alternate" href="https://jsoncrack.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6524"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Crack your data into pieces.
Seamlessly visualize your JSON data instantly into graphs.

✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs. 

- [JSON Crack @ GitHub](https://github.com/AykutSarac/jsoncrack.com).]]>
            </summary>
            <updated>2026-02-04T07:42:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6652</id>
            <title type="text"><![CDATA[Neo4j]]></title>
            <link rel="alternate" href="https://neo4j.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6652"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graph Database Management System.
Neo4j Graph Data Platform. Blazing-Fast Graph, Petabyte Scale.
With proven trillion+ entity performance, developers, data scientists, and enterprises rely on Neo4j as the top choice for high-performance, scalable analytics, intelligent app development, and advanced AI/ML pipelines.

- [Neo4j @ GitHub](https://github.com/neo4j/neo4j).
 
Related contents:

- [Episode #18: NoSQL Smackdown! @ Changelog Interviews](https://changelog.com/podcast/18).]]>
            </summary>
            <updated>2025-12-09T09:25:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7663</id>
            <title type="text"><![CDATA[DGraph]]></title>
            <link rel="alternate" href="http://dgraph.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7663"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scalable, Distributed, Low Latency, High Throughput Graph Database.]]>
            </summary>
            <updated>2025-08-29T13:15:25+00:00</updated>
        </entry>
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