Graph-vector database that queried 1 billion edges for $2.50. Rust, OpenCypher, vector search, 14 graph algorithms. 74M nodes / 1B edges on a single machine.
PostgreSQL-compatible SQL, graph, and vector database built from scratch in Rust.
Post-Cortex provides durable memory infrastructure with automatic knowledge graph construction, intelligent entity extraction, and semantic search powered by local transformer models.
Absurdly fast embedded graph database with built-in vector search. Rust core, Node.js and Python connectors, GQL, graph algorithms, all in-process with no server.
A fast embedded graph database for AI applications and graph analytics
The High-Performance, Hardware-Adaptive Knowledge Engine for MCP Agents: Hybrid Graph-RAG & Atomic Concurrency Control.
⚡ In-memory context graph database written in Rust. Purpose-built for AI/LLM workloads — combines graph storage, vector search, temporal modeling, token budgeting, and provenance tracking in a single engine. Sub-10ms context retrieval. Redis-like speed with optional disk persistence.
A high-performance desktop search application (AI Powered) - AI assistant
Rust-based code knowledge engine for AI agents and developers
Local-first memory engine for personal and team knowledge, combining semantic chunking, vector retrieval, and asynchronous Graph-RAG on Ollama + SQLite. 本地优先的个人与团队记忆引擎，集成语义分块、向量检索与异步 Graph-RAG（Ollama + SQLite）。
AI agent skill synthesizer ΓÇö local-first, air-gappable, graph+vector+causal retrieval over a community catalog. Rust CLI + Hub, SurrealDB, OpenBao, candle embeddings.
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