Ai Friendly Agents
What is Ai Friendly Agents
ai-friendly-agents is a collection of user-friendly agents designed for integration with ADK, MCP, A2A, and other platforms, providing ready-to-use solutions for various applications.
Use cases
Use cases include automating repetitive tasks, integrating with existing applications for enhanced functionality, and providing user support through intelligent agents.
How to use
To use ai-friendly-agents, clone the repository from GitHub, copy the environment configuration file, and make necessary edits to set up the agents for your specific needs.
Key features
Key features include production-ready agents, test agents for learning purposes, and end-to-end sample implementations to help users understand how to effectively utilize the agents.
Where to use
ai-friendly-agents can be used in various fields such as software development, automation, data processing, and any domain where friendly AI agents can enhance productivity and efficiency.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Ai Friendly Agents
ai-friendly-agents is a collection of user-friendly agents designed for integration with ADK, MCP, A2A, and other platforms, providing ready-to-use solutions for various applications.
Use cases
Use cases include automating repetitive tasks, integrating with existing applications for enhanced functionality, and providing user support through intelligent agents.
How to use
To use ai-friendly-agents, clone the repository from GitHub, copy the environment configuration file, and make necessary edits to set up the agents for your specific needs.
Key features
Key features include production-ready agents, test agents for learning purposes, and end-to-end sample implementations to help users understand how to effectively utilize the agents.
Where to use
ai-friendly-agents can be used in various fields such as software development, automation, data processing, and any domain where friendly AI agents can enhance productivity and efficiency.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Self: https://github.com/palladius/ai-friendly-agents/ (public)
Breaking changes
Currently some agents are broken. I’ve added a dangerous change.
However, a stable version is available here: https://github.com/palladius/ai-friendly-agents/tree/v0.9/
AI friendly agents
A bunch of friendly agents ready to use with ADK, MCP, A2A et al.
Dir structure:
adk/prod/: agents built with ADK. Production ready, ready to use.adk/dev/: agents built with ADK. More to learn how to do things. Could be cut and paste of public docs.mcp-agents/prod: agents built with MCP. Production ready, ready to use.mcp-agents/dev: agents built with MCP. More to learn how to do things.rag/: samples to instruct AIs with local code.
Better samples can be found here: https://github.com/google/adk-samples
MCP
To test MCP agents:
- Nice locally running agent:
npx @modelcontextprotocol/inspector - Use the
pip install mcp[cli]. Never tried yet. Example.
Install
# 1. Clone and adapt env file
git clone https://github.com/palladius/ai-friendly-agents/
cp .env.dist .env
# edit away .env with your info
# 2. Install virtualenvenv
python -m venv .venv
source .venv/bin/activate
# 3.
cd adk/prod/
pip install -r requirements.txt
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
