Python
How Memora Gives Claude Code Assistants Long-Term Memory and a Knowledge Graph
How Memora gives Claude Code assistants long-term memory and a knowledge graph through MCP, turning scattered notes into a structured knowledge base.
#knowledge-graph
8 projects Python
How to Turn a Mountain of Chaotic Documents into Rigorous Knowledge Graphs
Hyper-Extract converts messy documents into structured knowledge graphs and typed data using ready-made templates, eliminating the need for complex prompt engineering.
Python
Combining Obsidian and Claude Code for Knowledge Accumulation Without File Clutter
A practical guide to combining Obsidian and Claude Code for building a personal knowledge base that stays organized without vendor lock-in.
Python
Why Vector Databases Won't Save Agents from Auditors and How Semantica Solves This
Vector databases and standard RAG can't answer auditor questions about AI decisions. Semantica adds deterministic graphs, rules, and audit trails.
Python
Knowledge Graphs Instead of Gigabytes of Embeddings for Code Analysis in Monorepos
Developer Vitaliy built code-graph-rag to replace vector search with knowledge graphs for monorepo code analysis. It uses Tree-sitter, Memgraph, and Qdrant to understand code structure.
Python
How to Stop Feeding LLMs and Teach Agents to Understand Your Code
I tried Memtrace — a tool that turns your codebase into a knowledge graph for AI agents, indexing 15,000 files in 1.5 seconds without LLM calls.
TypeScript
Trilium Notes: A Digital Garden for Your Knowledge
A look at Trilium Notes, an open-source personal knowledge base with hierarchical structure, cross-references, and full privacy control.
36,649
C
How to Make an AI Agent Work with a Massive Legacy Codebase Without Losing Context or Money
Discover how to make AI agents work with massive legacy codebases without losing context or burning through your token budget. A deep dive into codebase-emory-mcp.
16,677