From 231ecc6cf36e5ab435e66913bfade0bb68f5ace3 Mon Sep 17 00:00:00 2001 From: FilippoPilo <221422218+FilippoPilo@users.noreply.github.com> Date: Wed, 16 Sep 2026 06:30:57 +0200 Subject: [PATCH] Move cortex-connector entry to alphabetical position --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index eacbe5ad8..55b9b52ca 100644 --- a/README.md +++ b/README.md @@ -2212,7 +2212,6 @@ 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. - [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` -- [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` - [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 50–80% on Python repos ≥ 15K LOC vs. raw @@ -2308,6 +2307,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [fabio-rovai/open-ontologies](https://github.com/fabio-rovai/open-ontologies) [![open-ontologies MCP server](https://glama.ai/mcp/servers/fabio-rovai/open-ontologies/badges/score.svg)](https://glama.ai/mcp/servers/fabio-rovai/open-ontologies) 🦀 🏠 - AI-native ontology engineering with 39 tools and 5 prompts for OWL/RDF/SPARQL. Validate, query, diff, lint, version, and govern knowledge graphs via Oxigraph triple store. - [grooverLab/fable](https://github.com/grooverLab/fable) [![grooverLab/fable MCP server](https://glama.ai/mcp/servers/grooverLab/fable/badges/score.svg)](https://glama.ai/mcp/servers/grooverLab/fable) 🐍 🏠 🍎 🐧 - MCP server over your Claude Code transcript history — full-text + semantic search, byte-identical thread recall, durable /remember facts. Local SQLite, stdlib-only. - [fenghaochang/LoreRoom](https://github.com/fenghaochang/LoreRoom) [![fenghaochang/LoreRoom MCP server](https://glama.ai/mcp/servers/fenghaochang/LoreRoom/badges/score.svg)](https://glama.ai/mcp/servers/fenghaochang/LoreRoom) 📇 🏠 🍎 - Encrypted, local memory for your Claude Code Telegram bot. Captures both sides of the conversation at the plugin source (survives restarts and crashes) and recalls it via MCP tools — whole-file SQLCipher encryption, FTS5 full-text search (CJK-friendly), never touches your bot token. +- [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/`. - [gamosoft/NoteDiscovery](https://github.com/gamosoft/NoteDiscovery) [![gamosoft/NoteDiscovery](https://glama.ai/mcp/servers/gamosoft/NoteDiscovery/badges/score.svg)](https://glama.ai/mcp/servers/gamosoft/NoteDiscovery) 🐍 🏠 🍎 🪟 🐧 - Self-hosted plain-markdown knowledge base with a built-in MCP server. Lets Claude Desktop, Cursor, and any MCP client search, read, create, edit, tag, and template notes — same vault that powers the web UI. Pure-stdlib client, no extra deps, MIT-licensed. Can run in Docker. - [geondongkim/geond-agent-protocol](https://github.com/geondongkim/geond-agent-protocol) [![geondongkim/geond-agent-protocol MCP server](https://glama.ai/mcp/servers/geondongkim/geond-agent-protocol/badges/score.svg)](https://glama.ai/mcp/servers/geondongkim/geond-agent-protocol) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Local-first shared memory and coordination layer for AI coding agents: repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector. - [gingugu/gingugu](https://github.com/gingugu/gingugu) [![gingugu/gingugu MCP server](https://glama.ai/mcp/servers/gingugu/gingugu/badges/score.svg)](https://glama.ai/mcp/servers/gingugu/gingugu) 🐍 🏠 🍎 🪟 🐧 - Persistent memory for AI coding assistants. Local SQLite, no cloud. 16 MCP tools: store, recall, search, relate, consolidate, export, and credential vault (OS keychain). Typed memories with confidence lifecycle (verified/inferred/stale/deprecated), namespaces, knowledge graph, and hybrid BM25 + semantic search via fastembed ONNX. Works with Cursor, Windsurf, Claude, and any MCP client. `pip install gingugu`