From ed45c789cc1972e0318315de2aec82d8e13599e2 Mon Sep 17 00:00:00 2001 From: Ronalds Palacis <66126144+rwnalds@users.noreply.github.com> Date: Fri, 10 Jul 2026 21:52:13 +0300 Subject: [PATCH 1/3] Add rwnalds/engram to Knowledge & Memory --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 5b03c3aeb..154d188ee 100644 --- a/README.md +++ b/README.md @@ -2088,6 +2088,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [roampal-ai/roampal-core](https://github.com/roampal-ai/roampal-core) [![roampal-core MCP server](https://glama.ai/mcp/servers/roampal-ai/roampal-core/badges/score.svg)](https://glama.ai/mcp/servers/roampal-ai/roampal-core) 🐍 🏠 - Outcome-based persistent memory for AI coding tools. Memories that help get promoted, memories that mislead get demoted. Works with Claude Code and OpenCode via hooks + MCP. - [roomi-fields/notebooklm-mcp](https://github.com/roomi-fields/notebooklm-mcp) [![notebooklm-mcp MCP server](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp) 📇 🏠 🍎 🪟 🐧 - Full automation of Google NotebookLM — Q&A with citations, audio podcasts, video, content generation, source management, and notebook library. MCP + HTTP REST API. - [rushikeshmore/CodeCortex](https://github.com/rushikeshmore/CodeCortex) [![codecortex MCP server](https://glama.ai/mcp/servers/@rushikeshmore/codecortex/badges/score.svg)](https://glama.ai/mcp/servers/@rushikeshmore/codecortex) 📇 🏠 🍎 🪟 🐧 - Persistent codebase knowledge layer for AI coding agents. Pre-digests codebases into structured knowledge (symbols, dependency graphs, co-change patterns, architectural decisions) via tree-sitter native parsing (28 languages) and serves via MCP. 14 tools, ~85% token reduction. Works with Claude Code, Cursor, Codex, and any MCP client. +- [rwnalds/engram](https://github.com/rwnalds/engram) 📇 🏠 - Second brain your agents read and write, over a git-backed markdown vault. Authority-aware search ranks superseded and archived notes below live ones (from frontmatter, no vector DB), so agents quote the current doc, not the dead one. Per-agent read-only or write tokens, a git audit trail of every change with diffs, a knowledge-graph dashboard, and Obsidian compatibility. - [s60yucca/mnemos](https://github.com/s60yucca/mnemos) [![s60yucca/mnemos MCP server](https://glama.ai/mcp/servers/s60yucca/mnemos/badges/score.svg)](https://glama.ai/mcp/servers/s60yucca/mnemos) 🏎️ 🏠 🍎 🪟 🐧 - Persistent memory engine for AI coding agents. Stores architecture decisions, bug root causes, and project conventions across sessions. Single Go binary with embedded SQLite, FTS5 search, context assembly within token budgets, and autopilot setup for Claude Code, Kiro, and Cursor. - [SagaPeak/artifacta-mcp](https://github.com/SagaPeak/artifacta-mcp) [![SagaPeak/artifacta-mcp MCP server](https://glama.ai/mcp/servers/SagaPeak/artifacta-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SagaPeak/artifacta-mcp) 🎖️ 📇 🐍 ☁️ 🍎 🪟 🐧 - The artifact store for AI agents. Every output your agents produce — persisted, retrievable, shareable. Across runs, sessions, and tools. Session/agent metadata, content-hash dedup, expiring share links; 11 tools with path-confined uploads and destructive actions gated by default. TypeScript (`npx @artifacta-mcp/mcp`) and Python (`pipx run artifacta-mcp`). - [SaravananJaichandar/world-model-mcp](https://github.com/SaravananJaichandar/world-model-mcp) [![SaravananJaichandar/world-model-mcp MCP server](https://glama.ai/mcp/servers/SaravananJaichandar/world-model-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SaravananJaichandar/world-model-mcp) 🐍 🏠 🍎 🪟 🐧 - Temporal knowledge graph for codebases. Captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook. 22 MCP tools, 9 SQLite databases with FTS5, supports Python/TypeScript/JavaScript/Solidity/Go/Rust/Java. Install via `pip install world-model-mcp`. From 25e329bcfdd663ccd2b0c1008c9e34feea8aa185 Mon Sep 17 00:00:00 2001 From: Ronalds Palacis <66126144+rwnalds@users.noreply.github.com> Date: Mon, 13 Jul 2026 12:54:28 +0300 Subject: [PATCH 2/3] Add Glama badge to engram entry --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 154d188ee..525d02829 100644 --- a/README.md +++ b/README.md @@ -2088,7 +2088,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [roampal-ai/roampal-core](https://github.com/roampal-ai/roampal-core) [![roampal-core MCP server](https://glama.ai/mcp/servers/roampal-ai/roampal-core/badges/score.svg)](https://glama.ai/mcp/servers/roampal-ai/roampal-core) 🐍 🏠 - Outcome-based persistent memory for AI coding tools. Memories that help get promoted, memories that mislead get demoted. Works with Claude Code and OpenCode via hooks + MCP. - [roomi-fields/notebooklm-mcp](https://github.com/roomi-fields/notebooklm-mcp) [![notebooklm-mcp MCP server](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp) 📇 🏠 🍎 🪟 🐧 - Full automation of Google NotebookLM — Q&A with citations, audio podcasts, video, content generation, source management, and notebook library. MCP + HTTP REST API. - [rushikeshmore/CodeCortex](https://github.com/rushikeshmore/CodeCortex) [![codecortex MCP server](https://glama.ai/mcp/servers/@rushikeshmore/codecortex/badges/score.svg)](https://glama.ai/mcp/servers/@rushikeshmore/codecortex) 📇 🏠 🍎 🪟 🐧 - Persistent codebase knowledge layer for AI coding agents. Pre-digests codebases into structured knowledge (symbols, dependency graphs, co-change patterns, architectural decisions) via tree-sitter native parsing (28 languages) and serves via MCP. 14 tools, ~85% token reduction. Works with Claude Code, Cursor, Codex, and any MCP client. -- [rwnalds/engram](https://github.com/rwnalds/engram) 📇 🏠 - Second brain your agents read and write, over a git-backed markdown vault. Authority-aware search ranks superseded and archived notes below live ones (from frontmatter, no vector DB), so agents quote the current doc, not the dead one. Per-agent read-only or write tokens, a git audit trail of every change with diffs, a knowledge-graph dashboard, and Obsidian compatibility. +- [rwnalds/engram](https://github.com/rwnalds/engram) [![rwnalds/engram MCP server](https://glama.ai/mcp/servers/rwnalds/engram/badges/card.svg)](https://glama.ai/mcp/servers/rwnalds/engram) 📇 🏠 - Second brain your agents read and write, over a git-backed markdown vault. Authority-aware search ranks superseded and archived notes below live ones (from frontmatter, no vector DB), so agents quote the current doc, not the dead one. Per-agent read-only or write tokens, a git audit trail of every change with diffs, a knowledge-graph dashboard, and Obsidian compatibility. - [s60yucca/mnemos](https://github.com/s60yucca/mnemos) [![s60yucca/mnemos MCP server](https://glama.ai/mcp/servers/s60yucca/mnemos/badges/score.svg)](https://glama.ai/mcp/servers/s60yucca/mnemos) 🏎️ 🏠 🍎 🪟 🐧 - Persistent memory engine for AI coding agents. Stores architecture decisions, bug root causes, and project conventions across sessions. Single Go binary with embedded SQLite, FTS5 search, context assembly within token budgets, and autopilot setup for Claude Code, Kiro, and Cursor. - [SagaPeak/artifacta-mcp](https://github.com/SagaPeak/artifacta-mcp) [![SagaPeak/artifacta-mcp MCP server](https://glama.ai/mcp/servers/SagaPeak/artifacta-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SagaPeak/artifacta-mcp) 🎖️ 📇 🐍 ☁️ 🍎 🪟 🐧 - The artifact store for AI agents. Every output your agents produce — persisted, retrievable, shareable. Across runs, sessions, and tools. Session/agent metadata, content-hash dedup, expiring share links; 11 tools with path-confined uploads and destructive actions gated by default. TypeScript (`npx @artifacta-mcp/mcp`) and Python (`pipx run artifacta-mcp`). - [SaravananJaichandar/world-model-mcp](https://github.com/SaravananJaichandar/world-model-mcp) [![SaravananJaichandar/world-model-mcp MCP server](https://glama.ai/mcp/servers/SaravananJaichandar/world-model-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SaravananJaichandar/world-model-mcp) 🐍 🏠 🍎 🪟 🐧 - Temporal knowledge graph for codebases. Captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook. 22 MCP tools, 9 SQLite databases with FTS5, supports Python/TypeScript/JavaScript/Solidity/Go/Rust/Java. Install via `pip install world-model-mcp`. From 6bc0955149ddaedfd3d045810b3418242978110c Mon Sep 17 00:00:00 2001 From: Ronalds Palacis <66126144+rwnalds@users.noreply.github.com> Date: Mon, 13 Jul 2026 13:53:24 +0300 Subject: [PATCH 3/3] Use score.svg badge for engram entry --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 525d02829..c7dfc796c 100644 --- a/README.md +++ b/README.md @@ -2088,7 +2088,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [roampal-ai/roampal-core](https://github.com/roampal-ai/roampal-core) [![roampal-core MCP server](https://glama.ai/mcp/servers/roampal-ai/roampal-core/badges/score.svg)](https://glama.ai/mcp/servers/roampal-ai/roampal-core) 🐍 🏠 - Outcome-based persistent memory for AI coding tools. Memories that help get promoted, memories that mislead get demoted. Works with Claude Code and OpenCode via hooks + MCP. - [roomi-fields/notebooklm-mcp](https://github.com/roomi-fields/notebooklm-mcp) [![notebooklm-mcp MCP server](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp) 📇 🏠 🍎 🪟 🐧 - Full automation of Google NotebookLM — Q&A with citations, audio podcasts, video, content generation, source management, and notebook library. MCP + HTTP REST API. - [rushikeshmore/CodeCortex](https://github.com/rushikeshmore/CodeCortex) [![codecortex MCP server](https://glama.ai/mcp/servers/@rushikeshmore/codecortex/badges/score.svg)](https://glama.ai/mcp/servers/@rushikeshmore/codecortex) 📇 🏠 🍎 🪟 🐧 - Persistent codebase knowledge layer for AI coding agents. Pre-digests codebases into structured knowledge (symbols, dependency graphs, co-change patterns, architectural decisions) via tree-sitter native parsing (28 languages) and serves via MCP. 14 tools, ~85% token reduction. Works with Claude Code, Cursor, Codex, and any MCP client. -- [rwnalds/engram](https://github.com/rwnalds/engram) [![rwnalds/engram MCP server](https://glama.ai/mcp/servers/rwnalds/engram/badges/card.svg)](https://glama.ai/mcp/servers/rwnalds/engram) 📇 🏠 - Second brain your agents read and write, over a git-backed markdown vault. Authority-aware search ranks superseded and archived notes below live ones (from frontmatter, no vector DB), so agents quote the current doc, not the dead one. Per-agent read-only or write tokens, a git audit trail of every change with diffs, a knowledge-graph dashboard, and Obsidian compatibility. +- [rwnalds/engram](https://github.com/rwnalds/engram) [![rwnalds/engram MCP server](https://glama.ai/mcp/servers/rwnalds/engram/badges/score.svg)](https://glama.ai/mcp/servers/rwnalds/engram) 📇 🏠 - Second brain your agents read and write, over a git-backed markdown vault. Authority-aware search ranks superseded and archived notes below live ones (from frontmatter, no vector DB), so agents quote the current doc, not the dead one. Per-agent read-only or write tokens, a git audit trail of every change with diffs, a knowledge-graph dashboard, and Obsidian compatibility. - [s60yucca/mnemos](https://github.com/s60yucca/mnemos) [![s60yucca/mnemos MCP server](https://glama.ai/mcp/servers/s60yucca/mnemos/badges/score.svg)](https://glama.ai/mcp/servers/s60yucca/mnemos) 🏎️ 🏠 🍎 🪟 🐧 - Persistent memory engine for AI coding agents. Stores architecture decisions, bug root causes, and project conventions across sessions. Single Go binary with embedded SQLite, FTS5 search, context assembly within token budgets, and autopilot setup for Claude Code, Kiro, and Cursor. - [SagaPeak/artifacta-mcp](https://github.com/SagaPeak/artifacta-mcp) [![SagaPeak/artifacta-mcp MCP server](https://glama.ai/mcp/servers/SagaPeak/artifacta-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SagaPeak/artifacta-mcp) 🎖️ 📇 🐍 ☁️ 🍎 🪟 🐧 - The artifact store for AI agents. Every output your agents produce — persisted, retrievable, shareable. Across runs, sessions, and tools. Session/agent metadata, content-hash dedup, expiring share links; 11 tools with path-confined uploads and destructive actions gated by default. TypeScript (`npx @artifacta-mcp/mcp`) and Python (`pipx run artifacta-mcp`). - [SaravananJaichandar/world-model-mcp](https://github.com/SaravananJaichandar/world-model-mcp) [![SaravananJaichandar/world-model-mcp MCP server](https://glama.ai/mcp/servers/SaravananJaichandar/world-model-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SaravananJaichandar/world-model-mcp) 🐍 🏠 🍎 🪟 🐧 - Temporal knowledge graph for codebases. Captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook. 22 MCP tools, 9 SQLite databases with FTS5, supports Python/TypeScript/JavaScript/Solidity/Go/Rust/Java. Install via `pip install world-model-mcp`.