Havuz

Transforms Databricks Unity Catalog tables into a dynamic knowledge graph, with ontology design and reasoning exposed as tools via MCP.

The memory & storage engine for AI agents. Multi-model, edge-to-cloud, PostgreSQL-compatible.

The business intent layer for your codebase. Ground user stories in the code that implements them.

Open-source graph database superpowers for your existing Postgres data.

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt

Native, local-first knowledge graph engine for code and project artifacts—inspired by Graphify, built in Rust, and evolving beyond it.

Local-first code intelligence for AI assistants. Turns your codebase into a knowledge graph your AI can query, navigate, and remember. 25 MC

VGraph is a high-performance graph visualization and analysis engine for building interactive relation graphs, trees, DAGs, mind maps, and f

Self-improving, harness-agnostic memory layer for AI agents, backed by Neo4j — lifecycle hooks capture every session, MCP tools recall proje

OpenLoomi is an open-source AI coworker. It connects your work tools, understands what you’re working on, and tells you what needs your atte

A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented metadata within a single storage kern

One-click knowledge system for documents, internal bots, and AI agents

One command turns every agent session already on your disk into a graph: subagents, tool calls, retries, the moments you said no. Ask your a

A .NET 10 port of graphify - AI knowledge graph builder for codebases using GitHub Copilot SDK and Microsoft.Extensions.AI

Agentic RAG Harness for long documents, Tree and Graph based reasoning. Cited answers down to the pixel

Semantic memory system with knowledge graph, spreading activation, embedding-based recall, autonomous dream consolidation, and C++ LSTM+kNN

Loop-native agent workspace — put your AI coding agents on a canvas, wired into loops that run themselves.

TurboQuant-compatible vector search plus graph memory for constrained RAG.

A graph-native simulation engine for building composable engineering simulations and digital twins.

Dynamic graph runtime for building, adapting, and observing multi-agent LLM systems in Python.

Python + Terraform. Cloud-ready GraphRAG solution that uncovers distant connections across data and grows incrementally as new documents arr

Graph-native studio, runtime integration, and self-hosted observability for mutable multi-agent LLM workflows.