Synapse AKG: Agentic Knowledge Graph A high-performance knowledge graph system with hybrid search capabilities, built for AI agents and built with Test-Driven Development (TDD) methodology. 🚀 Overview Synapse AKG is an Agentic Knowledge Graph that combines semantic search (dense embeddings) with text-based search (BM25) using Reciprocal Rank Fusion (RRF) for optimal relevance. It provides a complete MCP (Model Context Protocol) interface for seamless integration with AI agents.
| Stars | 5 |
| Forks | 0 |
| Language | Python |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 34.25/100 |
| Last Updated | 2026-03-26 |
| Created | 2026-03-14 |
| Platforms | mcp, python |
| Est. Tokens | ~18k |
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Synapse is Synapse AKG: High-performance Agentic Knowledge Graph with hybrid search (KNN + BM25 + RRF) for AI agents. It is categorized as a MCP 服务器 with 5 GitHub stars.
Synapse is primarily written in Python. It covers topics such as ai-agents, bm25, embeddings.
You can find installation instructions and usage details in the Synapse GitHub repository at github.com/di5rupt0r/Synapse. The project has 5 stars and 0 forks, indicating an active community.
Synapse is released under the MIT license, making it free to use and modify according to the license terms.