by julymetodiev · MCP Server · ★ 20
Post-Cortex Persistent Memory for AI Assistants Post-Cortex is an MCP server that gives AI assistants long-term memory. It stores conversations, decisions, and insights in a searchable knowledge base with automatic entity extraction. Features Persistent Memory — conversations survive across sessions Semantic Search — (Model2Vec) by default. 50 MB on disk, ms-per-text inference, multilingual (Latin / Cyrillic / CJK / Greek / Arabic) out of the box. Heavier BERT models stay available behind the feature.
| Stars | 20 |
| Forks | 5 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.629245463814/100 |
| Last Updated | 2026-05-17 |
| Created | 2025-11-17 |
| Platforms | mcp, rust |
| Est. Tokens | ~274k |
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post-cortex is Post-Cortex provides durable memory infrastructure with automatic knowledge graph construction, intelligent entity extraction, and semantic search powered by local transformer models.. It is categorized as a MCP Server with 20 GitHub stars.
post-cortex is primarily written in Rust. It covers topics such as ai, ai-memory, graph-rag.
You can find installation instructions and usage details in the post-cortex GitHub repository at github.com/julymetodiev/post-cortex. The project has 20 stars and 5 forks, indicating an active community.
post-cortex is released under the MIT license, making it free to use and modify according to the license terms.