diff --git a/README.md b/README.md
index a7ac904c1..0f6e4e376 100644
--- a/README.md
+++ b/README.md
@@ -2729,6 +2729,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [Ikalus1988/MisakaNet](https://github.com/Ikalus1988/MisakaNet) [![Ikalus1988/MisakaNet MCP server](https://glama.ai/mcp/servers/Ikalus1988/MisakaNet/badges/score.svg)](https://glama.ai/mcp/servers/Ikalus1988/MisakaNet) 🐍 🏠 🍎 🪟 🐧 - Agent failure memory: search verified debugging lessons from real engineering sessions.
 - [irisxc4/memoryguard](https://github.com/irisxc4/memoryguard) [![irisxc4/memoryguard MCP server](https://glama.ai/mcp/servers/irisxc4/memoryguard/badges/score.svg)](https://glama.ai/mcp/servers/irisxc4/memoryguard) 🐍 🏠 🍎 🪟 🐧 - Local-first governed shared memory for coding agents with CLI and desktop console: classify, dedupe, supersede, quarantine and roll back memories.
 - [zsxh1990/pr-genius](https://github.com/zsxh1990/pr-genius) [![zsxh1990/pr-genius MCP server](https://glama.ai/mcp/servers/zsxh1990/pr-genius/badges/score.svg)](https://glama.ai/mcp/servers/zsxh1990/pr-genius) 🐍 🏠 - Pull request contribution advisor based on case studies from real repos: merge probability analysis, pattern matching and contribution strategy.
+- [JAAvila-Of/vivac](https://github.com/JAAvila-Of/vivac) 🦀 🏠 🍎 🪟 🐧 - A provenance tree for coding agents: every node records the node it was born from, so the agent can ask why the work is where it is. A session brief with the standing decisions and what not to touch, a close that refuses over open work, and decisions kept with the alternatives they rejected. Local JSON-lines file, no telemetry.
 - [jaimenbell/rag-mcp](https://github.com/jaimenbell/rag-mcp) [![jaimenbell/rag-mcp MCP server](https://glama.ai/mcp/servers/jaimenbell/rag-mcp/badges/score.svg)](https://glama.ai/mcp/servers/jaimenbell/rag-mcp) 🐍 🏠 - Minimal local RAG that vector-searches a document corpus and returns cited passages.
 - [JamesANZ/cross-llm-mcp](https://github.com/JamesANZ/cross-llm-mcp) 📇 🏠 - Cross-LLM communication and memory sharing so different AI models can collaborate and share context across conversations.
 - [JamesANZ/memory-mcp](https://github.com/JamesANZ/memory-mcp) 📇 🏠 - Store and retrieve conversation memories from multiple LLMs in MongoDB, with timestamps and LLM identification.