Open source. Open possibilities.

Logseq is a privacy-first, open-source knowledge management and collaboration platform designed for organizing notes and managing tasks.

CocoIndex is an open-source incremental indexing framework designed to provide AI agents and LLM applications with continuously fresh context by reprocessing only changed data.

Trilium Notes is a free, open-source, cross-platform hierarchical note-taking application designed for building large personal knowledge bases.

Malleus is a protocol and Python reference implementation for typed, fail-closed semantic change, enabling explainable and replayable knowledge graph population through ontology-driven contracts.

Lemory is a local middleware that transforms markdown notes (e.g., Obsidian vaults) into a context database for AI agents. It supports keyless on-device hybrid search, Korean-specific processing, hierarchical token savings, and knowledge graph visualization, integrating with various AI tools via MCP.

A pure-Python scientific computing platform with 22 modules covering quantum, ML, statistics, ODE solvers, and more—zero runtime dependencies, with optional NumPy/SciPy adapters for validation and reproducibility.

LightRAG is a lightweight graph-based retrieval-augmented generation framework from HKUDS, offering dual-level retrieval, knowledge-graph indexing, multimodal parsing, multiple storage backends and an API server with WebUI.

MiroFish is a multi-agent swarm intelligence prediction engine that simulates social dynamics from seed data. Users provide context (news, scenarios), and thousands of LLM-powered agents with memory and personas interact in a digital sandbox to generate prediction reports and interactive simulations.

KAG is an open-source framework from OpenSPG that combines knowledge graphs with LLMs for logical reasoning and factual Q&A over professional domain knowledge bases, using logical-form-guided hybrid retrieval and reasoning.

Semantica is a graph-native infrastructure designed to provide structured context, deterministic reasoning, and full decision provenance for AI systems, serving as a semantic layer for LLMs and agents.

Onya is a knowledge‑graph data model and Markdown‑native serialization format with a Python library. It supports first‑class relationships, recursive assertions, shared vocabularies, and LLM‑friendly authoring for extracted knowledge and agent context.

Folio is a Markdown format and Rust toolset for literate programming. It turns documents with typed YAML metadata into source files via tangling, weaves them into readable pages, checks metadata against a vocabulary, and can publish selected documents as standalone repositories with provenance records.

An open-source Claude Code plugin that transforms any codebase into an interactive, searchable knowledge graph. Uses Tree-sitter and multi-agent LLM pipelines to visualize files, functions, classes, and dependencies—plus domain analysis, guided tours, and diff impact assessment. Works across 18+ AI coding platforms including Cursor, Codex, Gemini CLI, and Copilot.

Nesso is an interactive concept mapping application designed for active learning through the creation of typed knowledge graphs.

Graphify is a CLI skill that maps a codebase into a queryable knowledge graph for AI coding assistants. It uses tree-sitter for local deterministic code parsing, no embeddings, and outputs graph.html, GRAPH_REPORT.md, and graph.json.

High-performance code intelligence MCP server that indexes codebases into a persistent knowledge graph for AI coding agents. Supports 162 languages via tree-sitter, sub-millisecond structural queries, 15 MCP tools, and ships as a single native binary with no runtime dependencies.