by PlateerLab · MCP Server · ★ 32
Synaptic Memory Zero API calls at index time. Zero infra. Zero lock-in. A knowledge graph + MCP tool server for LLM agents, with hybrid retrieval, CDC-based live database sync, and Korean FTS built in. 한국어 README 5-minute start That command ingests into a SQLite-backed graph and runs three searches — all without calling any LLM at indexing time. Full source: .
| Stars | 32 |
| Forks | 1 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 67.5940438635679/100 |
| Open Issues | 5 |
| Last Updated | 2026-07-03 |
| Created | 2026-03-21 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
These tools work well together with synaptic-memory for enhanced workflows:
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synaptic-memory is Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.. It is categorized as a MCP Server with 32 GitHub stars.
synaptic-memory is primarily written in Python. It covers topics such as agent-memory, ai-agent, change-data-capture.
You can find installation instructions and usage details in the synaptic-memory GitHub repository at github.com/PlateerLab/synaptic-memory. The project has 32 stars and 1 forks, indicating an active community.