#knowledge-graph

Cognitive memory engine for AI agents — temporal decay, contradiction detection, autonomous consolidation, knowledge graph, ANN recall via HNSW. Embeddable Rust library with Python bindings; powers yantrikdb-server (HTTP gateway, MCP server, openraft cluster). AGPL.

The semantic layer for spatial computing and AI agents — write once, run as VR, robotics, web, or game.

Persistent memory & code intelligence server for AI coding agents. Deploy on VPS for shared memory across machines. Hybrid search (BM25 + pgvector), knowledge graph, impact analysis. 14 MCP tools. Works with Claude Code, OpenCode, Cursor, and any MCP client.

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.

Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup.

🧠🛡️ Complete memory & security for AI agents. Persistent storage, semantic search, prompt injection firewall, audit trail. One package.

Browser-based ontology workbench for OWL ontologies and SKOS vocabularies. Streamlit + rdflib, no Java, no Protégé. Bulk operations, OWL-RL reasoning, gist upper-ontology starters, merge-aware imports, interactive vis-network graph.

An implementation of RDF for Elixir

AI memory brain for Claude Code, Cursor, Copilot & Windsurf — 120+ MCP tools. Persistent sessions, lessons learned, semantic search, Team Brain, managed Valkey/Redis. Free tier.

Markdown Knowledge Graph (mdkg) is a graph based documentation generation and management tool. Its purpose is to create, update, and search across documentation. Specifically for agentic AI systems where context bundling is important

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

AI memory system combining vector search with temporal knowledge graph. Built-in cognitive engine for agents. Supports memory decay, contradiction detection, and MCP integration.

Wenlan (文瀾) is a knowledge base for the AI-native age. Your AI agents capture what they learn, Wenlan keeps it current and distills it into source-cited wiki pages you can trust

Utility classes for the KGRAG system

An Efficient RML-Compliant Engine for Knowledge Graph Construction

Type-safe Object-Graph Mapper for Neo4j with GraphQL SDL schema support

Causalontology - the world's first programming-language-neutral standard and shared commons for reified causation. AGI's Missing Link.

Опис репозиторію не опубліковано.

AST knowledge graph MCP server for Claude Code — semantic search, call graph traversal, HTTP route tracing, impact analysis. Auto-indexes 10 languages via Tree-sitter.

MCP server for persistent AI memory — give any AI assistant long-term recall. Works with Claude, Kiro, Cursor, Windsurf.

Library for accessing personal knowledge service.

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

A demarkus library FE reading room

A deterministic code knowledge graph for coding agents — one static Go binary indexes code, routes, dependencies, k8s & docs; your agent answers from the store. No LLM, no DB, no MCP.

Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · Hermes · VS Code · Windsurf.

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

Опис репозиторію не опубліковано.

Sovereign single-binary knowledge mesh for coding agents (MCP): index, search and serve your notes + code as context. Fair-code (no reselling).

Jurisdiction-aware judicial reasoning platform — a model-agnostic AI engine that produces citation-backed, adversarially-tested draft case analyses for human sign-off. Non-binding by design.

Опис репозиторію не опубліковано.