[PR #821] [CLOSED] Add emem Earth memory geospatial agent #6331

New Issue

GiteaMirror · 2026-05-27T23:10:30-05:00

GiteaMirror commented

2026-05-27 23:10:30 -05:00

📋 Pull Request Information

Original PR: https://github.com/Shubhamsaboo/awesome-llm-apps/pull/821
Author: @kumari-jaya
Created: 5/19/2026
Status: ❌ Closed

Base: main ← Head: add-emem-demo

📝 Commits (1)

9ed598f Add emem geospatial agent demo

📊 Changes

3 files changed (+192 additions, -0 deletions)

View changed files

➕ mcp_ai_agents/emem_geospatial_agent/README.md (+59 -0)
➕ mcp_ai_agents/emem_geospatial_agent/emem_agent.py (+129 -0)
➕ mcp_ai_agents/emem_geospatial_agent/requirements.txt (+4 -0)

📄 Description

Adds a self-contained Streamlit demo for emem, a public MCP server for signed geospatial facts.

What's included

emem_agent.py - Streamlit app using agno + emem MCP endpoint
requirements.txt - 4 dependencies
README.md - Setup, examples, architecture

What it does

Users type a place name and get back signed elevation, surface water, vegetation, and land cover data. Every fact includes a content-addressed CID receipt. No emem API key or signup needed.

How to run

cd mcp_ai_agents/emem_geospatial_agent
pip install -r requirements.txt
streamlit run emem_agent.py

Only requires an OpenAI API key. The emem MCP endpoint is public.

Follows up on #819 with a full runnable demo as requested.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/Shubhamsaboo/awesome-llm-apps/pull/821 **Author:** [@kumari-jaya](https://github.com/kumari-jaya) **Created:** 5/19/2026 **Status:** ❌ Closed **Base:** `main` ← **Head:** `add-emem-demo` --- ### 📝 Commits (1) - [`9ed598f`](https://github.com/Shubhamsaboo/awesome-llm-apps/commit/9ed598fe83de443cccf94c2ce1befc418b48428d) Add emem geospatial agent demo ### 📊 Changes **3 files changed** (+192 additions, -0 deletions) <details> <summary>View changed files</summary> ➕ `mcp_ai_agents/emem_geospatial_agent/README.md` (+59 -0) ➕ `mcp_ai_agents/emem_geospatial_agent/emem_agent.py` (+129 -0) ➕ `mcp_ai_agents/emem_geospatial_agent/requirements.txt` (+4 -0) </details> ### 📄 Description Adds a self-contained Streamlit demo for [emem](https://github.com/Vortx-AI/emem), a public MCP server for signed geospatial facts. ## What's included - `emem_agent.py` - Streamlit app using agno + emem MCP endpoint - `requirements.txt` - 4 dependencies - `README.md` - Setup, examples, architecture ## What it does Users type a place name and get back signed elevation, surface water, vegetation, and land cover data. Every fact includes a content-addressed CID receipt. No emem API key or signup needed. ## How to run ```bash cd mcp_ai_agents/emem_geospatial_agent pip install -r requirements.txt streamlit run emem_agent.py ``` Only requires an OpenAI API key. The emem MCP endpoint is public. Follows up on #819 with a full runnable demo as requested. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-05-27 23:10:30 -05:00

GiteaMirror closed this issue

2026-05-27 23:10:37 -05:00

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Reference: github-starred/awesome-llm-apps#6331