Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.

Knowledge graph extractor: Markdown (or any format) to knowledge graph with RDFS/OWL ontology

Native, local-first knowledge graph engine for code and project artifacts—inspired by Graphify, built in Rust, and evolving beyond it.

Collective intelligence runtime for AI agents. Knowledge graph + persistent memory.

AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.

Semantic Search & Call Graphs for AI Agents (100% Local)

Your CLAUDE.md stopped working at 200 lines. Generate scoped skill files from your import graph, auto-sync on every commit. Claude Code, Codex and OpenCode.

Local-first AI PKM for coding conversations: import Claude Code/Cursor/Codex, distill notes, semantic search, tag graph, MCP memory.

Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in one Rust binary. Give Claude, Cursor, and any MCP client a deep understanding of your codebase.

OKF (Open Knowledge Format): Durable, structured memory for AI agents. Author, validate, consume, and maintain portable knowledge bundles through an ecosystem of Skills, MCP, an interactive graph, TUI, CLI, Docker, and a Claude Code plugin. 100% local.

The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on Andrej Karpathy's pattern. An Obsidian alternative for personal knowledge management, AI second brain, and durable Claude Code / Codex / OpenClaw memory.

The semantic layer for software engineering: Connect code to meaning, build on understanding

Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.

AI builder operating system. Turn Claude Code from a per-session tool into a workspace that remembers, maintains itself, and never goes stale. BASE = Builder's Automated State Engine.

Headless knowledge base with bidirectional Markdown sync

Compiles AI agent traces and truns them into reusable context.

Score any document. Prove every claim.

Understand any codebase instantly. System intelligence for codebases, built for humans and AI.

Persistent memory for AI coding agents: automatic capture, explainable recall, knowledge consolidation, privacy controls, and portable offline storage. One Python file, zero dependencies.

Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-managed and self-improved without the use of any tools.

Turn your coding agent into a video studio: describe a video in plain language, and your agent writes the timeline and produces the file.