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THE FIRST COLLECTIONLemory 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.
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.
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.
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.
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.
