Merge pull request #12830 from aliasunder/update-vault-cortex-aug-2026

Update vault-cortex listing description
This commit is contained in:
Frank Fiegel
2026-08-29 15:49:47 -06:00
committed by GitHub
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@@ -2275,7 +2275,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [ihorponom/agentpack](https://github.com/ihorponom/agentpack) [![ihorponom/agentpack MCP server](https://glama.ai/mcp/servers/ihorponom/agentpack/badges/score.svg)](https://glama.ai/mcp/servers/ihorponom/agentpack) 📇 🏠 🍎 🪟 🐧 - Repo-native task continuity for AI coding agents: a reviewed task-state ledger (decisions, dead ends, evidence, checkpoints) in `.agentpack/` that any next session or client resumes from.
- [Vasilispapg/claude-handoff](https://github.com/Vasilispapg/claude-handoff) [![Vasilispapg/claude-handoff MCP server](https://glama.ai/mcp/servers/Vasilispapg/claude-handoff/badges/score.svg)](https://glama.ai/mcp/servers/Vasilispapg/claude-handoff) 🐍 🏠 🍎 🪟 🐧 - Post-hoc session handoff and project memory for Claude Code: turns any session transcript — including crashed or usage-limit-hit ones — into one clean handoff.md another model continues from (ChatGPT, Gemini, or the next Claude), and distills a project's ENTIRE session history into one cited memory brief injected at every session start. MCP tools `list_sessions` and `handoff` (LLM summaries only behind an explicit `--allow-llm`); zero dependencies, pure stdlib, secrets redacted from every output. `pipx install claude-handoff`, then `claude-handoff --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 — 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) 📇 🏠 ☁️ - 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) 📇 🏠 ☁️ - Standalone MCP server for Obsidian vaults — hybrid search, notes & files, memory, tasks, OAuth 2.1. Run locally, self-host, or one-click deploy for remote access.
- [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`
- [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`