#knowledge-graph

An AI second brain that maintains itself. Full guide, starter vault, agent skills and scripts for a self-organizing knowledge base in Claude Code and Obsidian.

The open-source persistent cognitive memory layer for AI coding agents. Stop your Cursor, Claude & Copilot from having amnesia.

Open source local-first knowledge base maintained by an LLM agent. Implements Andrej Karpathy's LLM Wiki pattern.

Agent Skills for small-molecule and protein therapeutics: cheminformatics, molecular ML, docking and dynamics, protein design platforms, and target-discovery knowledge graphs.

In-memory graph database and Gremlin traversal engine in Rust: browser playground, CLI, MCP server for AI agents, durable store, Python bindings.

Self-hosted MCP server + dashboard giving Claude Code, Cursor & Hermes agents shared long-term memory over a git-backed markdown vault. Agent-native, Obsidian-compatible second brain — markdown RAG, no vector DB.

ESG knowledge graph + RAG agent. Turn long-form sustainability disclosures into cited answers, extracted entities, and a reviewable graph of evidence.

MCP-native knowledge-graph memory for AI agents

Local-first memory engine for AI-agent teams — private/team/project ACL, associative recall, federated sync, and a built-in MCP server. One SQLite file, no LLM required. Apache-2.0.

The cognitive operating system that gives AI coding agents memory, structure, and discipline — knowledge graph, Scrumban board, and an enforced engineering loop.

Open-source AI code reviewer that auto-reviews GitHub PRs LangGraph agents, knowledge graph blast-radius detection, mem0 persistent memory Zero cost, self-hostable.

AI-native worldbuilding canon: turn natural-language conversations into structured, validated Markdown/YAML and interactive graph views.

A full-stack multimodal meeting intelligence system with layered RAG, long-term memory, and skill-based generation.

A brain-inspired cognitive engine in pure C. 14 brain regions, 12 topologies, zero AI framework dependencies. Runs on ARM embedded boards.

Agentic BI: Semantic and Ontology-driven Data Agent for natural language data Q&A，analysis，insights，and action recommendations.

Local memory for AI agents over MCP. One SQLite file on your machine — no cloud, no account.

AI agent knowledge & long-term memory · MCP server, knowledge graph, BM25 + RRF retrieval · drop-in for Claude Code/ Openclaw/ Cursor / Codex / Hermes

AI-powered natural-language BI platform: NL→SQL→dashboard plus a power-user SQL editor, root-cause, proactive AI digest, agentic copilot, semantic/trust layer, workspaces + RBAC + row-level security, embedded analytics + white-label, FP&A scenario planning. FastAPI + React.

Pattern recognition ability for AI agents — local structural lattice that matches, links, distills, and learns from experience. Companion for Hermes Agent.

HermesClaw Zero‑Config Sidecar is a lightweight local vector‑memory engine for Hermes and OpenClaw. It runs as a zero‑config sidecar, providing fast embeddings, persistent memory, and instant retrieval for agents and MCP tools. Built for speed, simplicity, and full local control.

Open research on local-first, model-agnostic long-term memory for LLM agents

Local-first GraphRAG: Milvus hybrid (dense+BM25) + Neo4j local-search + cross-encoder rerank + contextual retrieval. Local-dev runs end-to-end on Ollama with no paid APIs; CI integration tier uses Ollama Cloud + OpenAI embeddings.

Ontology-aware RAG framework — RDF/OWL as the source of truth for LLM agents via MCP

The continuity substrate for AI agents — memory that becomes a mind: a versioned self-model, a cognitive heartbeat, a shared cortex, metacognition & debate, on temporal-graph memory. Apache-2.0, zero-dep core.

Persistent memory for AI agents — MCP server, knowledge graph, hybrid semantic search. Self-hosted & private: your data stays on your machine. Память для ИИ-агентов (Claude, GPT, DeepSeek): MCP-сервер, граф знаний. Триал 7 дней.

A personal memory layer for your AI tools. Intelligent authoring (gap detection, self-enriching graph, session-synthesis loop) + measurably good retrieval (94.9% blind Cov@10, sub-ms latency). Domain-agnostic framework — works for any context you want to track. MCP-native, Claude-Code-first, works with Cursor/Continue/Cline/OpenAI/Gemini.

AI Research Agent 2026 🔍 - Autonomous Deep Web Explorer & Adversarial Synthesis

OpenCode memory governance plugin — Knowledge Graph + Hybrid Search + Smart Compaction + Tool Firewall + Stop Gate. 6 MCP tools with slash-command UX. Apache-2.0.

Memex.ai-Inspired AI Knowledge Base 2026 - Smart Markdown Wiki with Graph Search & Static Publishing

Claude Code skill that maps a project's dependency graph: an Obsidian vault for humans and a compact PROJECT_MAP.md for token-efficient AI navigation, with auto-refresh on source edits.

Skein is an agentic AI platform that answers questions by weaving together structured and unstructured data, grounding every response in a knowledge graph, hybrid vector search, and a governed semantic layer. It escalates to humans when unsure, and runs free locally or scales to the cloud.

agent wayfinding. temporal knowledge store in one sqlite file. no neo4j, no cloud, no lock-in.

Local-first personal automation platform for workflows, RAG/GraphRAG search, review queues, genealogy/media evidence, and operator-guided agents.

Static code-analysis + knowledge-graph for AI coding agents. Index your codebase once — agents query only what they need. 87–91% token reduction, 12 MCP tools, 13 languages. MCP stdio + HTTP API. Works with Claude Code, Cursor, Antigravity, Codex.

Reverse-engineer any Python codebase into an interactive architecture knowledge graph with AI-powered layer detection, community discovery, and living documentation

🧠 Long-term memory for AI coding agents — switch tools or models without starting over. Local-first, shared across Claude Code / Codex / opencode via MCP.

AI 项目复盘助手：扫描代码项目，基于多源证据 + LLM 分析，生成《README复盘.md》（8 大板块）

Android personal knowledge graph app - smart exocortex v3.0 (end-side AI + ambient capture + zero-anxiety)

12 Factor App × 12 Factor Agent 合并方法论知识图谱：DAG 组织 + 桥接主题 + 双交付（HTML 交互图 + AI 友好 MD），cytoscape 在线预览

An Obsidian learning vault that teaches: a DeepSeek Harness agent preset, a vault, a theme and three plugins. English and 简体中文.