From 748c8f2c108f743c35a0bd6e6d208d71b890562d Mon Sep 17 00:00:00 2001 From: Thomas Stockham Date: Sun, 1 Mar 2026 14:50:20 -0700 Subject: [PATCH] Add Glama listing link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e25ba54c..8aa8262c 100644 --- a/README.md +++ b/README.md @@ -1115,7 +1115,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [topoteretes/cognee](https://github.com/topoteretes/cognee/tree/dev/cognee-mcp) 📇 🏠 - Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources - [timowhite88/farnsworth-syntek](https://github.com/timowhite88/farnsworth-syntek) 📇 ☁️ - 7-layer recursive agent memory with context branching, holographic recall, dream consolidation, and on-chain persistence. MCP-native with 10 tools for persistent agent cognition. - [topskychen/tilde](https://github.com/topskychen/tilde) 🐍 🏠 - Your AI agents' home directory — privacy-first MCP server for portable AI identity. Configure once, use everywhere. It supports profile management, skills, resume import, and team sync. -- [tstockham96/engram](https://github.com/tstockham96/engram) 📇 🏠 🍎 🪟 🐧 - Intelligent agent memory with semantic recall, automatic consolidation, contradiction detection, and bi-temporal knowledge graph. 80% on LOCOMO benchmark using 96% fewer tokens than full-context approaches. +- [tstockham96/engram](https://github.com/tstockham96/engram) [glama](https://glama.ai/mcp/servers/@tstockham96/engram) 📇 🏠 🍎 🪟 🐧 - Intelligent agent memory with semantic recall, automatic consolidation, contradiction detection, and bi-temporal knowledge graph. 80% on LOCOMO benchmark using 96% fewer tokens than full-context approaches. - [TeamSafeAI/LIFE](https://github.com/TeamSafeAI/LIFE) 🐍 🏠 - Persistent identity architecture for AI agents. 16 MCP servers covering drives, emotional relationships, semantic memory with decay, working threads, learned patterns, journal, genesis (identity discovery), creative collision engine, forecasting, and voice. Zero dependencies beyond Python 3.8. Built across 938 conversations. - [unibaseio/membase-mcp](https://github.com/unibaseio/membase-mcp) 📇 ☁️ - Save and query your agent memory in distributed way by Membase - [upstash/context7](https://github.com/upstash/context7) 📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors.