From 8c0413f69733a155cd8c16dbb0774734dd27a573 Mon Sep 17 00:00:00 2001 From: dial481 <248182468+dial481@users.noreply.github.com> Date: Tue, 3 Feb 2026 01:33:44 +0200 Subject: [PATCH 1/6] Add Penfield MCP to memory resources list --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 836aa7d2..ecafe6a7 100644 --- a/README.md +++ b/README.md @@ -1048,6 +1048,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [upstash/context7](https://github.com/upstash/context7) 📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors. - [varun29ankuS/shodh-memory](https://github.com/varun29ankuS/shodh-memory) 🦀 🏠 - Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices. - [vectorize-io/hindsight](https://github.com/vectorize-io/hindsight) 🐍 ☁️ 🏠 - Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory +- [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) - 🐍 ☁️ - Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client. ### ⚖️ Legal From 88da0ded4145c0496e4db8eb9fe33e3342b6b0be Mon Sep 17 00:00:00 2001 From: dial481 <248182468+dial481@users.noreply.github.com> Date: Tue, 3 Feb 2026 11:49:01 +0200 Subject: [PATCH 2/6] Fixed alphabetical order --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index ecafe6a7..e26a5415 100644 --- a/README.md +++ b/README.md @@ -1033,6 +1033,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [pallaprolus/mendeley-mcp](https://github.com/pallaprolus/mendeley-mcp) 🐍 ☁️ - MCP server for Mendeley reference manager. Search your library, browse folders, get document metadata, search the global catalog, and add papers to your collection. - [Pantheon-Security/notebooklm-mcp-secure](https://github.com/Pantheon-Security/notebooklm-mcp-secure) 📇 🏠 🍎 🪟 🐧 - Security-hardened NotebookLM MCP with post-quantum encryption (ML-KEM-768), GDPR/SOC2/CSSF compliance, and 14 security layers. Query Google's Gemini-grounded research from Claude and AI agents. - [pi22by7/In-Memoria](https://github.com/pi22by7/In-Memoria) 📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding. +- [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) - 🐍 ☁️ - Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client. - [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine. - [pomazanbohdan/memory-mcp-1file](https://github.com/pomazanbohdan/memory-mcp-1file) 🦀 🏠 🍎 🪟 🐧 - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents. - [ragieai/mcp-server](https://github.com/ragieai/ragie-mcp-server) 📇 ☁️ - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more. @@ -1048,7 +1049,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [upstash/context7](https://github.com/upstash/context7) 📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors. - [varun29ankuS/shodh-memory](https://github.com/varun29ankuS/shodh-memory) 🦀 🏠 - Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices. - [vectorize-io/hindsight](https://github.com/vectorize-io/hindsight) 🐍 ☁️ 🏠 - Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory -- [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) - 🐍 ☁️ - Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client. + ### ⚖️ Legal From 7c95b03210849d7958a979fd6efaa833cb1cdc41 Mon Sep 17 00:00:00 2001 From: dial481 <248182468+dial481@users.noreply.github.com> Date: Tue, 3 Feb 2026 11:58:03 +0200 Subject: [PATCH 3/6] Remove unintentional line break Removed an empty line before the Legal section in README.md. --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index e26a5415..960a77bf 100644 --- a/README.md +++ b/README.md @@ -1050,7 +1050,6 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [varun29ankuS/shodh-memory](https://github.com/varun29ankuS/shodh-memory) 🦀 🏠 - Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices. - [vectorize-io/hindsight](https://github.com/vectorize-io/hindsight) 🐍 ☁️ 🏠 - Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory - ### ⚖️ Legal Access to legal information, legislation, and legal databases. Enables AI models to search and analyze legal documents and regulatory information. From 33dcc43f104e2e64de845fb985650224b2469700 Mon Sep 17 00:00:00 2001 From: dial481 <248182468+dial481@users.noreply.github.com> Date: Fri, 3 Apr 2026 10:47:27 +0300 Subject: [PATCH 4/6] Fix Penfield MCP entry in README Updated the Penfield MCP entry to include a badge and correct formatting. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 9128cd37..fdecaae2 100644 --- a/README.md +++ b/README.md @@ -1455,7 +1455,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [papersflow-ai/papersflow-mcp](https://github.com/papersflow-ai/papersflow-mcp) [![papers-flow MCP server](https://glama.ai/mcp/servers/papersflow-ai/papers-flow/badges/score.svg)](https://glama.ai/mcp/servers/papersflow-ai/papers-flow) 📇 ☁️ - Hosted MCP server by [PapersFlow](https://papersflow.ai) for academic research with 7 specialized AI agents and 474M+ papers from Semantic Scholar and OpenAlex. Literature search, citation verification, citation graph exploration, and autonomous deep research workflows. - [Pantheon-Security/notebooklm-mcp-secure](https://github.com/Pantheon-Security/notebooklm-mcp-secure) 📇 🏠 🍎 🪟 🐧 - Security-hardened NotebookLM MCP with post-quantum encryption (ML-KEM-768), GDPR/SOC2/CSSF compliance, and 14 security layers. Query Google's Gemini-grounded research from Claude and AI agents. - [pi22by7/In-Memoria](https://github.com/pi22by7/In-Memoria) 📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding. -- [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) - 🐍 ☁️ - Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client. +- [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) - [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) [![penfieldlabs/penfield-mcp MCP server](https://glama.ai/mcp/servers/penfieldlabs/penfield-mcp/badges/score.svg)](https://glama.ai/mcp/servers/penfieldlabs/penfield-mcp) - 🐍 ☁️ - Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client. - [pfillion42/memviz](https://github.com/pfillion42/memviz) 📇 🏠 🍎 🪟 🐧 - Visual explorer for [MCP Memory Service](https://github.com/doobidoo/mcp-memory-service) SQLite-vec databases. Browse, search, filter, edit memories with dashboard, timeline, UMAP projection, semantic clustering, duplicate detection, and association graph. - [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine. - [pomazanbohdan/memory-mcp-1file](https://github.com/pomazanbohdan/memory-mcp-1file) 🦀 🏠 🍎 🪟 🐧 - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents. From 9817fb7d8840420e0137283cff73c7e2e338ee22 Mon Sep 17 00:00:00 2001 From: dial481 <248182468+dial481@users.noreply.github.com> Date: Fri, 3 Apr 2026 10:54:57 +0300 Subject: [PATCH 5/6] Remove duplicate MCP server entry in README Removed duplicate entry for penfieldlabs/penfield-mcp. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index fdecaae2..fa171518 100644 --- a/README.md +++ b/README.md @@ -1455,7 +1455,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [papersflow-ai/papersflow-mcp](https://github.com/papersflow-ai/papersflow-mcp) [![papers-flow MCP server](https://glama.ai/mcp/servers/papersflow-ai/papers-flow/badges/score.svg)](https://glama.ai/mcp/servers/papersflow-ai/papers-flow) 📇 ☁️ - Hosted MCP server by [PapersFlow](https://papersflow.ai) for academic research with 7 specialized AI agents and 474M+ papers from Semantic Scholar and OpenAlex. Literature search, citation verification, citation graph exploration, and autonomous deep research workflows. - [Pantheon-Security/notebooklm-mcp-secure](https://github.com/Pantheon-Security/notebooklm-mcp-secure) 📇 🏠 🍎 🪟 🐧 - Security-hardened NotebookLM MCP with post-quantum encryption (ML-KEM-768), GDPR/SOC2/CSSF compliance, and 14 security layers. Query Google's Gemini-grounded research from Claude and AI agents. - [pi22by7/In-Memoria](https://github.com/pi22by7/In-Memoria) 📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding. -- [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) - [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) [![penfieldlabs/penfield-mcp MCP server](https://glama.ai/mcp/servers/penfieldlabs/penfield-mcp/badges/score.svg)](https://glama.ai/mcp/servers/penfieldlabs/penfield-mcp) - 🐍 ☁️ - Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client. +- [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) [![penfieldlabs/penfield-mcp MCP server](https://glama.ai/mcp/servers/penfieldlabs/penfield-mcp/badges/score.svg)](https://glama.ai/mcp/servers/penfieldlabs/penfield-mcp) - 🐍 ☁️ - Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client. - [pfillion42/memviz](https://github.com/pfillion42/memviz) 📇 🏠 🍎 🪟 🐧 - Visual explorer for [MCP Memory Service](https://github.com/doobidoo/mcp-memory-service) SQLite-vec databases. Browse, search, filter, edit memories with dashboard, timeline, UMAP projection, semantic clustering, duplicate detection, and association graph. - [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine. - [pomazanbohdan/memory-mcp-1file](https://github.com/pomazanbohdan/memory-mcp-1file) 🦀 🏠 🍎 🪟 🐧 - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents. From d2430a894142b695130ca0113198915e3830e5cc Mon Sep 17 00:00:00 2001 From: dial481 <248182468+dial481@users.noreply.github.com> Date: Sat, 4 Apr 2026 16:23:28 +0300 Subject: [PATCH 6/6] Add badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4632d934..fac7b40d 100644 --- a/README.md +++ b/README.md @@ -1474,7 +1474,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [papersflow-ai/papersflow-mcp](https://github.com/papersflow-ai/papersflow-mcp) [![papers-flow MCP server](https://glama.ai/mcp/servers/papersflow-ai/papers-flow/badges/score.svg)](https://glama.ai/mcp/servers/papersflow-ai/papers-flow) 📇 ☁️ - Hosted MCP server by [PapersFlow](https://papersflow.ai) for academic research with 7 specialized AI agents and 474M+ papers from Semantic Scholar and OpenAlex. Literature search, citation verification, citation graph exploration, and autonomous deep research workflows. - [Pantheon-Security/notebooklm-mcp-secure](https://github.com/Pantheon-Security/notebooklm-mcp-secure) 📇 🏠 🍎 🪟 🐧 - Security-hardened NotebookLM MCP with post-quantum encryption (ML-KEM-768), GDPR/SOC2/CSSF compliance, and 14 security layers. Query Google's Gemini-grounded research from Claude and AI agents. - [pi22by7/In-Memoria](https://github.com/pi22by7/In-Memoria) 📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding. -- [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) [![penfieldlabs/penfield-mcp MCP server](https://glama.ai/mcp/servers/penfieldlabs/penfield-mcp/badges/score.svg)](https://glama.ai/mcp/servers/penfieldlabs/penfield-mcp) - 🐍 ☁️ - Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client. +- [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) - [![penfield-mcp MCP server](https://glama.ai/mcp/servers/penfieldlabs/penfield-mcp/badges/score.svg)](https://glama.ai/mcp/servers/penfieldlabs/penfield-mcp) - 🐍 ☁️ - Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client. - [pfillion42/memviz](https://github.com/pfillion42/memviz) 📇 🏠 🍎 🪟 🐧 - Visual explorer for [MCP Memory Service](https://github.com/doobidoo/mcp-memory-service) SQLite-vec databases. Browse, search, filter, edit memories with dashboard, timeline, UMAP projection, semantic clustering, duplicate detection, and association graph. - [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine. - [pomazanbohdan/memory-mcp-1file](https://github.com/pomazanbohdan/memory-mcp-1file) 🦀 🏠 🍎 🪟 🐧 - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents.