cortex-connector: add Glama score badge, patent-pending wording, stdio bridge

This commit is contained in:
Filippo Pilotta
2026-09-07 18:56:37 +02:00
committed by GitHub
parent 22335124a1
commit 6ba83e5e64
+1 -1
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@@ -2212,7 +2212,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [aliasunder/vault-cortex](https://github.com/aliasunder/vault-cortex/) [![vault-cortex MCP server](https://glama.ai/mcp/servers/aliasunder/vault-cortex/badges/score.svg)](https://glama.ai/mcp/servers/aliasunder/vault-cortex) 📇 🏠 ☁️ - MCP server for Obsidian vaults — hybrid search, notes & files, memory, tasks, link graph, OAuth-protected. - [aliasunder/vault-cortex](https://github.com/aliasunder/vault-cortex/) [![vault-cortex MCP server](https://glama.ai/mcp/servers/aliasunder/vault-cortex/badges/score.svg)](https://glama.ai/mcp/servers/aliasunder/vault-cortex) 📇 🏠 ☁️ - MCP server for Obsidian vaults — hybrid search, notes & files, memory, tasks, link graph, OAuth-protected.
- [andreas-roennestad/openhive-mcp](https://github.com/andreas-roennestad/openhive-mcp) [![openhive-mcp MCP server](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp/badges/score.svg)](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp) 📇 ☁️ - Shared knowledge base where AI agents search and post problem-solution pairs. Agents query before solving, post after resolving. Semantic search via pgvector, duplicate detection, auto-scoring. `npx openhive-mcp`, Free to use - [andreas-roennestad/openhive-mcp](https://github.com/andreas-roennestad/openhive-mcp) [![openhive-mcp MCP server](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp/badges/score.svg)](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp) 📇 ☁️ - Shared knowledge base where AI agents search and post problem-solution pairs. Agents query before solving, post after resolving. Semantic search via pgvector, duplicate detection, auto-scoring. `npx openhive-mcp`, Free to use
- [AndreLYL/memkin](https://github.com/AndreLYL/memkin) [![MCP Score](https://glama.ai/mcp/servers/AndreLYL/memkin/badges/score.svg)](https://glama.ai/mcp/servers/AndreLYL/memkin) 📇 🏠 🍎 🪟 🐧 - Local-first personal memory for AI agents. Ingests Feishu/Lark chats and Claude Code / Codex sessions, distills them into a private entity knowledge graph (people, projects, decisions, tasks), and serves it to any agent over MCP — read and write. `npx memkin` - [AndreLYL/memkin](https://github.com/AndreLYL/memkin) [![MCP Score](https://glama.ai/mcp/servers/AndreLYL/memkin/badges/score.svg)](https://glama.ai/mcp/servers/AndreLYL/memkin) 📇 🏠 🍎 🪟 🐧 - Local-first personal memory for AI agents. Ingests Feishu/Lark chats and Claude Code / Codex sessions, distills them into a private entity knowledge graph (people, projects, decisions, tasks), and serves it to any agent over MCP — read and write. `npx memkin`
- [FilippoPilo/cortex-connector](https://github.com/FilippoPilo/cortex-connector) ☁️ - Patented semantic memory for AI agents: persistent memories with quality-gated writes, typed claims, conflict tracking and native coherence scoring. Hosted service, free trial via OAuth sign-in. - [FilippoPilo/cortex-connector](https://github.com/FilippoPilo/cortex-connector) [![FilippoPilo/cortex-connector MCP server](https://glama.ai/mcp/servers/FilippoPilo/cortex-connector/badges/score.svg)](https://glama.ai/mcp/servers/FilippoPilo/cortex-connector) 📇 ☁️ - Patent-pending semantic memory for AI agents: persistent memories with quality-gated writes, typed claims, conflict tracking and native coherence scoring. Hosted service with a free trial via OAuth sign-in, plus a local stdio bridge in `server/`.
- [Shweta-Mishra-ai/tokenmizer](https://github.com/Shweta-Mishra-ai/tokenmizer) [![Shweta-Mishra-ai/tokenmizer MCP server](https://glama.ai/mcp/servers/Shweta-Mishra-ai/tokenmizer/badges/score.svg)](https://glama.ai/mcp/servers/Shweta-Mishra-ai/tokenmizer) 🐍 🏠 🍎 🪟 🐧 - Graph-structured session memory for LLMs. Local OpenAI-compatible proxy that extracts tasks, decisions, and files into a typed knowledge graph, auto-checkpoints before context overflow, and resumes any session in ~250 tokens. 6 MCP tools including `why_decision` (traces why a decision changed, with reasons and evidence). `pip install tokenmizer` - [Shweta-Mishra-ai/tokenmizer](https://github.com/Shweta-Mishra-ai/tokenmizer) [![Shweta-Mishra-ai/tokenmizer MCP server](https://glama.ai/mcp/servers/Shweta-Mishra-ai/tokenmizer/badges/score.svg)](https://glama.ai/mcp/servers/Shweta-Mishra-ai/tokenmizer) 🐍 🏠 🍎 🪟 🐧 - Graph-structured session memory for LLMs. Local OpenAI-compatible proxy that extracts tasks, decisions, and files into a typed knowledge graph, auto-checkpoints before context overflow, and resumes any session in ~250 tokens. 6 MCP tools including `why_decision` (traces why a decision changed, with reasons and evidence). `pip install tokenmizer`
- [ashlesh-t/cognirepo](https://github.com/ashlesh-t/cognirepo) [![ashlesh-t/cognirepo MCP server](https://glama.ai/mcp/servers/ashlesh-t/cognirepo/badges/score.svg)](https://glama.ai/mcp/servers/ashlesh-t/cognirepo) 🐍 🏠 🍎 🪟 🐧 - Persistent memory and codebase context for AI coding agents. FAISS vector store, AST reverse index with O(1) symbol - [ashlesh-t/cognirepo](https://github.com/ashlesh-t/cognirepo) [![ashlesh-t/cognirepo MCP server](https://glama.ai/mcp/servers/ashlesh-t/cognirepo/badges/score.svg)](https://glama.ai/mcp/servers/ashlesh-t/cognirepo) 🐍 🏠 🍎 🪟 🐧 - Persistent memory and codebase context for AI coding agents. FAISS vector store, AST reverse index with O(1) symbol
lookup, NetworkX knowledge graph, episodic journal, user behavior profiling, error tracking, and cross-agent session handoff. 34 MCP tools. Reduces token usage 5080% on Python repos ≥ 15K LOC vs. raw lookup, NetworkX knowledge graph, episodic journal, user behavior profiling, error tracking, and cross-agent session handoff. 34 MCP tools. Reduces token usage 5080% on Python repos ≥ 15K LOC vs. raw