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.
#semantic-search
7 projects Python
All Tools for Vector Search and LLM in One Python Library
txtai is an all-in-one Python library combining vector database, hybrid search with SQL, graph analytics, and LLM orchestration for RAG pipelines.
Python
How to Get Rid of the Container Zoo When Building AI Agents with SIE
Building AI agents with local LLMs? SIE (Superlinked Inference Engine) consolidates multiple inference servers into one, cutting GPU costs and simplifying your container setup.
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.
Python
How to Find the Right Moment in Gigabytes of Video Without Watching All Recordings
SentrySearch is a CLI tool for semantic video search that lets you find specific moments by typing text queries instead of scrubbing through hours of footage.