Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.
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Updated
Oct 2, 2026 - Python
Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.
Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.
Enterprise-Ready Bi-Temporal Knowledge Graph Platform
An AG2 multi-agent framework for the performance-testing lifecycle—script generation, load tests, APM correlation, and reports—with HITL gates and A2A so other AI frameworks can request work. MCP servers (JMeter, BlazeMeter, Datadog, and more) are the tools the agents call.
Skill for coding agents (e.g. Claude, Codex) that turns any topic into a knowledge graph in your own PostgreSQL AGE.
Shared memory for AI agents on your own Postgres. The server never calls an LLM to write.
Multimodal, multi-project knowledge-graph RAG as a service. Ingest PDFs, Office docs, images & audio into a queryable graph (Postgres + pgvector + Apache AGE). Provider-agnostic, pure REST API for n8n & AI agents. Dockerized, MIT.
Wearable AI memory assistant for smart glasses.
📜The Hermes Librarian📜 Hybrid memory provider for Hermes Agent — Postgres + pgvector + Apache AGE knowledge graph with prompt context injection
Self-hostable LLM-верификатор технологических процессов машиностроительного производства против ГОСТ и эталонных ТП. MoA + CRAG + MAD + GCR на LangGraph; PostgreSQL+AGE+pgvector; NATS; FastAPI+React; Claude через CLI.
Core memory engine for Z3rno: PostgreSQL schema, SQLAlchemy models, Alembic migrations, store/recall/forget/audit library
笔记 → 出题 → 面试 → 学习:Agentic RAG 知识库 + AI 面试出题平台(Spring Boot + FastAPI + React;三通道检索 / 多层记忆 / 幻觉检测 / 23 ADR / 90+ 模块)
Graph-based RAG system: markdown files → PostgreSQL+AGE graph → MCP server
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