Content
Self: https://github.com/palladius/ai-friendly-agents/ (public)
# About
This repo provide easy ready-to-use agents which work with the Python ADK library.
More on ADK:
* https://github.com/google/adk-python
* https://google.github.io/adk-docs/
## 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](https://github.com/ilyazub/serpapi-mcp-server/tree/main).
# Install
First, install `ADK` for python: `pip install google-adk`
```bash
# 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
```
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