From 72e41809884159715b8176d360c70b217780e17c Mon Sep 17 00:00:00 2001 From: Tanisha Aberdeen <32620895+aliasunder@users.noreply.github.com> Date: Tue, 14 Jul 2026 18:31:21 -0400 Subject: [PATCH 1/2] Update vault-cortex listing description Replace stale tool count with stable feature categories. The listing now reflects current capabilities shipped since the original entry. Co-Authored-By: Claude Opus 4.6 (1M context) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a1980e06d..d541a6133 100644 --- a/README.md +++ b/README.md @@ -2013,7 +2013,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [a2cr/a2cr](https://github.com/a2cr/a2cr) [![a2cr/a2cr MCP server](https://glama.ai/mcp/servers/a2cr/a2cr/badges/score.svg)](https://glama.ai/mcp/servers/a2cr/a2cr) 🐍 ☁️ 🏠 🍎 πŸͺŸ 🐧 - MCP server for AI-agent handoffs. Saves client-encrypted WorkBaton checkpoints and WorkStash notes so Codex, Claude Code, Roo Code, and other MCP clients can resume work without passing full chat history. - [ahmetakyurt/zipmem-mcp](https://github.com/ahmetakyurt/zipmem-mcp) [![ahmetakyurt/zipmem-mcp MCP server](https://glama.ai/mcp/servers/ahmetakyurt/zipmem-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ahmetakyurt/zipmem-mcp) πŸ“‡ 🏠 - Local-first long-term memory for terminal AI agents (Claude Code et al.) via Anchored Compacting. Stores blueprints, code anchors (fileβ†’lineβ†’concept), and distilled lessons in a single JSON under `.zipmem/`, restoring full cross-session project context at near-zero token cost. No DB, no API keys, no embeddings. `npx zipmem-mcp` - [aidesignblueprint/integrations](https://github.com/aidesignblueprint/integrations) [![aidesignblueprint/integrations MCP server](https://glama.ai/mcp/servers/aidesignblueprint/integrations/badges/score.svg)](https://glama.ai/mcp/servers/aidesignblueprint/integrations) 🐍 ☁️ - Read-only doctrine access for the Agentic AI Blueprint β€” the industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 principles, clusters, curated implementation examples, and application guides for production agentic AI systems. 13 public tools require no credentials. `https://aidesignblueprint.com/mcp` -- [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) πŸ“‡ 🏠 ☁️ - MCP server for Obsidian vaults β€” search, memory, link graph, 23 tools, 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) πŸ“‡ 🏠 ☁️ - MCP server for Obsidian vaults β€” hybrid search, notes, 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) πŸ“‡ ☁️ - 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 - [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) 🐍 🏠 🍎 πŸͺŸ 🐧 - 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) 🐍 🏠 🍎 πŸͺŸ 🐧 - Persistent memory and codebase context for AI coding agents. FAISS vector store, AST reverse index with O(1) symbol From 31a1ff11d95f282a692e9800852d1fac3d462b83 Mon Sep 17 00:00:00 2001 From: T Aberdeen <32620895+aliasunder@users.noreply.github.com> Date: Tue, 21 Jul 2026 18:21:10 -0400 Subject: [PATCH 2/2] Update vault-cortex listing: notes & files --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d541a6133..aba1f3e49 100644 --- a/README.md +++ b/README.md @@ -2013,7 +2013,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [a2cr/a2cr](https://github.com/a2cr/a2cr) [![a2cr/a2cr MCP server](https://glama.ai/mcp/servers/a2cr/a2cr/badges/score.svg)](https://glama.ai/mcp/servers/a2cr/a2cr) 🐍 ☁️ 🏠 🍎 πŸͺŸ 🐧 - MCP server for AI-agent handoffs. Saves client-encrypted WorkBaton checkpoints and WorkStash notes so Codex, Claude Code, Roo Code, and other MCP clients can resume work without passing full chat history. - [ahmetakyurt/zipmem-mcp](https://github.com/ahmetakyurt/zipmem-mcp) [![ahmetakyurt/zipmem-mcp MCP server](https://glama.ai/mcp/servers/ahmetakyurt/zipmem-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ahmetakyurt/zipmem-mcp) πŸ“‡ 🏠 - Local-first long-term memory for terminal AI agents (Claude Code et al.) via Anchored Compacting. Stores blueprints, code anchors (fileβ†’lineβ†’concept), and distilled lessons in a single JSON under `.zipmem/`, restoring full cross-session project context at near-zero token cost. No DB, no API keys, no embeddings. `npx zipmem-mcp` - [aidesignblueprint/integrations](https://github.com/aidesignblueprint/integrations) [![aidesignblueprint/integrations MCP server](https://glama.ai/mcp/servers/aidesignblueprint/integrations/badges/score.svg)](https://glama.ai/mcp/servers/aidesignblueprint/integrations) 🐍 ☁️ - Read-only doctrine access for the Agentic AI Blueprint β€” the industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 principles, clusters, curated implementation examples, and application guides for production agentic AI systems. 13 public tools require no credentials. `https://aidesignblueprint.com/mcp` -- [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) πŸ“‡ 🏠 ☁️ - MCP server for Obsidian vaults β€” hybrid search, notes, 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) πŸ“‡ 🏠 ☁️ - MCP server for Obsidian vaults β€” 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) πŸ“‡ ☁️ - 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 - [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) 🐍 🏠 🍎 πŸͺŸ 🐧 - 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) 🐍 🏠 🍎 πŸͺŸ 🐧 - Persistent memory and codebase context for AI coding agents. FAISS vector store, AST reverse index with O(1) symbol