#knowledge-graph

Go RDF library with full SPARQL 1.1 query/update engine and SHACL validator. 100% W3C conformance (1221/1221 tests). Port of Python RDFLib.

Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.

Local-first engineering memory for AI coding: a git-native graph of decisions, bugs, and invariants, exposed to Claude Code via MCP.

High-performance graph database + vector search powered by InterSystems IRIS

A demarkus library FE reading room

sempods reference implementation for the JVM — pod server, identity service, hosted MCP, clients

saige - Super Artificial Intelligence Graph Environment. A unified Go SDK, CLI, and MCP server for streaming AI agents, knowledge graphs, and RAG pipelines, with Ollama, OpenAI, Anthropic, and Google providers behind one interface.

Utility classes for the KGRAG system

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Yadgar (یادگار) — Persian for "memento, keepsake." A persistent memory engine for AI coding agents that survives sessions and /clears: it decays what you stop touching, promotes what recurs, filters recall to the git branch you're on, and pairs every memory with a curated wiki searched through the same ranking pipeline. Works with any MCP client.

Bitemporal memory for AI agents: deterministic contradiction resolution, provenance, and retrieval at any point in time.

Local-first private AI memory layer / Digital Brain for conversations, documents, decisions, and model-agnostic knowledge.

A content consistency layer to keep AI-agent knowledge bases, wikis, and memory well-structured as they grow.

Graph memory for AI agents: facts in, entities and cause->effect relations extracted with small open models, multi-hop recall with a cited chain. Library, HTTP/MCP service, LangChain, hosted at memory.primaxiom.ai

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An implementation of RDF for Elixir

Standalone AI agent memory engine — hybrid search (BM25 + vectors), Q-learning scoring, Ebbinghaus decay, tiered storage, knowledge graph. Part of TRW Framework.