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Graphify, AI coding assistant’lar üzerinden codebase ve ilişkili dokümanları sorgulanabilir bir knowledge graph’a dönüştürür.

Neden yükseliyor · 177 günlük yaşına karşılık 121.707 yıldız ve son 28 günde 353 commit ile yüksek ilgi ve belirgin geliştirme temposu var; 17 farklı yazar katkısı da faaliyetin tek yazara dayanmadığını gösteriyor. Bu göstergeler dikkat çekici olsa da tek başına düzenli kullanımın veya kurumsal benimsenmenin kanıtı değil.

Utopia, değişen bilgiyi zaman ve ontology bağlamıyla izleyip sorgulamaya yönelik self-hosted bir knowledge platformudur.

Neden yükseliyor · 51 günde 7.993 yıldıza ulaşması güçlü bir ilgi sinyali; son 28 gündeki 606 commit de geliştirme faaliyetinin yüksek olduğunu gösteriyor. Ancak aynı dönemde 7 farklı yazar bulunması, faaliyetin sınırlı sayıda katkıcıda yoğunlaşabileceğini düşündürüyor; ilginin nedenini yalnızca bu verilerle kesinleştirmek mümkün değil.

GitaViśva (गीताविश्व): the Bhagavad Gita as a living knowledge graph. Explore all 700 verses in 3D, read 20 classical commentaries, listen t

网文平台资源配置决策助手：GraphRAG 两阶段检索 + ReAct Agent + 规则引擎兜底，方案合法率 60%→100%

A decision-model-based ontology & knowledge-graph builder — builds governed knowledge graphs from your documents, every fact gated and trace

AI 应用开发、AI 编程实战与面试指南，涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。

基于LangChain、LangGraph、FastAPI和React的RAG项目，主分支为基于知识图谱的知识管理平台，base-rag分支为完整的向量RAG项目供学习使用

ONGRID — Ontology-Native Graph · Retrieval · Inference · Decision. 3D knowledge graph + zero-token ZTC answer verification. by VIDRAFT.

Sub-millisecond query routing & cost-aware execution for GraphRAG architectures. Adaptive-AtomRAG is a highly optimized conditional routing

Fast-AtomRAG-Core

Open-source GraphRAG domain knowledge layer: LLMs continuously distill scattered skill docs into a queryable, evolvable, human-editable two-

In-memory graph database and Gremlin traversal engine in Rust: browser playground, CLI, MCP server for AI agents, durable store, Python bind

Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case s

High-performance Knowledge Graph engine for AI, LLMs, and GraphRAG — built for the next generation of intelligent applications.

Open-source knowledge base for people and AI agents. Rich-text editing, hybrid search, GraphRAG, and MCP. Self-host with Docker or use DocsM

Most AI agents forget you the moment the tab closes. Constellation Engine gives them a hippocampus — a living star map with spreading activa

AWS-native knowledge graph RAG framework. Runs GraphRAG, LightRAG, HippoRAG 2 and RAPTOR on one shared index, each selectable at index and q

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

[ACL'26 Main] Official code for "LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning".

Production-ready multi-agent platform delivering orchestration, session governance and audit capabilities. Stack: Go/Python/Rust microservic

A modular RAG pipeline library for .NET, built on Microsoft.Extensions.AI abstractions

An autonomous, 100% local Agentic GraphRAG system for codebase intelligence. Paste any GitHub URL or local directory to chat with your code.

Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.

Full-stack GraphRAG application with Django backend and React frontend. Build knowledge graphs, detect communities, and chat with documents

Local-first personal knowledge base CLI — hybrid FTS + pgvector search, a GraphRAG entity graph, and LLM enrichment over your notes, transcr

Deterministic code-graph (GraphRAG) over your repo for LLM agents — local-first, git-native, zero-infra, served via MCP. Python, TS/JS, Rust

Knowledge engine for AI agents: your documents become a git-versioned markdown knowledge graph the agent navigates over MCP. Curated summari