From 0b9eb420c7fa799ff5804805631ce58aae73efe8 Mon Sep 17 00:00:00 2001 From: Rafael Danieli Date: Fri, 17 Apr 2026 23:07:28 -0300 Subject: [PATCH] =?UTF-8?q?Add=20Tentra=20=E2=80=94=20persistent=20memory?= =?UTF-8?q?=20for=20AI=20coding=20agents?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3b79332b..57e48b50 100644 --- a/README.md +++ b/README.md @@ -465,6 +465,7 @@ Full coding agents that enable LLMs to read, edit, and execute code and solve ge - [OthmaneBlial/term_mcp_deepseek](https://github.com/OthmaneBlial/term_mcp_deepseek) 🐍 🏠 - A DeepSeek MCP-like Server for Terminal - [pdavis68/RepoMapper](https://github.com.mcas.ms/pdavis68/RepoMapper) 🐧 🪟 🍎 - An MCP server (and command-line tool) to provide a dynamic map of chat-related files from the repository with their function prototypes and related files in order of relevance. Based on the "Repo Map" functionality in Aider.chat - [preflight-dev/preflight](https://github.com/preflight-dev/preflight) 📇 🏠 🍎 🪟 🐧 - 24-tool MCP server for Claude Code that catches vague prompts before they waste tokens. Includes 12-category prompt scorecards, session history search with LanceDB vectors, cross-service contract awareness, correction pattern learning, and cost estimation. +- [rdanieli/tentra](https://github.com/rdanieli/archbuilder) 📇 ☁️ 🏠 🍎 🪟 🐧 - Persistent memory for AI coding agents. Indexes your repo into a queryable graph of files, symbols, imports, and call edges. Measured 99.4% token reduction on read-path queries (156.8× ratio) on our own monorepo. Agent-as-LLM pattern — zero LLM cost on our side, zero API key on yours. 32 MCP tools: 9 architecture + 4 code-graph write + 10 code-graph read + 9 enrichment (contracts, decisions, ownership, domains). Also generates AI architecture diagrams with 14-framework code export. Works in Cursor, Claude Code, Codex, Windsurf. - [religa/multi-mcp](https://github.com/religa/multi_mcp) 🐍 🍎 🪟 🐧 - Parallel multi-model code review, security analysis, and AI debate with ChatGPT, Claude, and Gemini. Orchestrates multiple LLMs for compare, consensus, and OWASP Top 10 security checks. - [rinadelph/Agent-MCP](https://github.com/rinadelph/Agent-MCP) 🐍 🏠 - A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities. - [shashankss1205/codegraphcontext](https://github.com/Shashankss1205/CodeGraphContext) 🐍 🏠 🍎 🪟 🐧 An MCP server that indexes local code into a graph database to provide context to AI assistants with a graphical code visualizations for humans.