AgentToolDrop

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Google Agent Development Kit (ADK)

Builds, evaluates and deploys Python agents and graph-based workflows, optimized for Gemini

Install with pip

pip install google-adk

Copied from the project's docs at github.com/google/adk-python

Why you'd want it

ADK is a code-first framework where you define agents, tools and orchestration in Python, then compose them into multi-agent hierarchies or graph-based workflows with routing, fan-out/fan-in, loops, retries and human-in-the-loop. It ships a CLI with an interactive runner, a local web UI for testing and debugging, an adk eval command, and deploy commands for Docker and Cloud Run, with Vertex AI Agent Engine for scaling. It is optimized for Gemini but model-agnostic, and tools can come from custom functions, OpenAPI specs or MCP.

Best for

  • Teams on Gemini and Google Cloud
  • Multi-agent hierarchies
  • Agents that need built-in evaluation

Use it when

You want agent definitions, a local testing UI, evaluation and deployment to Cloud Run in one toolkit.

Skip it if

You are on Python older than 3.11. If Python is not your stack, ADK has separate Java, Kotlin, Go and TypeScript versions in other repos.

Related tools

Same category or shared tags, by drop score.

  1. Rank 25

    CrewAI

    Framework

    Orchestrates teams of role-based agents (Crews) and event-driven workflows (Flows) in Python

    • score 63
    • 59.7k stars
    • pushed
    • 1.15.28 on
    • MIT

    Install the CLI with uv

    uv tool install crewai
    Use it when, skip it if, stats for CrewAI

    Why you'd want it

    CrewAI is a standalone Python framework with its own primitives for agents, tasks, crews, flows, tools and orchestration. Crews let role-based agents collaborate and delegate tasks autonomously, while Flows give event-driven control with state management and conditional branching, and the two can be combined. The crewai CLI scaffolds a project where agents and tasks are defined in JSONC files and run with crewai run.

    Best for

    • Multi-agent teams with defined roles
    • Business process automation
    • Mixing autonomous agents with deterministic steps

    Use it when

    You want several specialized agents with clear roles and tasks, wrapped in deterministic, event-driven workflows in regular Python.

    Skip it if

    You are not on Python (it requires Python 3.10 to 3.13). It collects anonymous telemetry by default (disable with OTEL_SDK_DISABLED=true), and the managed control plane, CrewAI AMP, is a separate commercial product.

    Stats

    Stars
    59,696
    Last push
    Release
    1.15.28,
    License
    MIT
    Pricing
    Open source
    Drop score
    63 of 100

    Full stat block for CrewAI

  2. Rank 37

    Agno

    Framework

    Builds Python agents, teams and workflows and serves them as an API with the AgentOS runtime

    • score 58
    • 42.7k stars
    • pushed
    • v3.1.3 on
    • Apache-2.0

    Install with pip

    pip install -U agno openai
    Use it when, skip it if, stats for Agno

    Why you'd want it

    Agno is a Python SDK with three primitives (agents, teams and workflows) plus a runtime, AgentOS, that serves them through a production API with 50+ endpoints over SSE and websockets. Sessions, memory, knowledge and traces are stored in your own database, and the runtime adds human approval, OpenTelemetry tracing, JWT-based RBAC with multi-tenant isolation, cron scheduling, and interfaces for Slack, Telegram, WhatsApp, Discord, AG-UI and A2A. Starter templates deploy it with Docker to Railway, AWS, GCP, Azure, Fly, Render, Modal or Helm.

    Best for

    • Self-hosted agent platforms
    • Serving agents to many users
    • Agents exposed in Slack or messaging apps

    Use it when

    You want to build agents and also run them as a multi-user service on your own infrastructure, with data kept in your own database.

    Skip it if

    You are not on Python. Agno sends a telemetry event per agent run by default (prompts, messages and outputs are not sent); set AGNO_TELEMETRY=false to turn it off.

    Stats

    Stars
    42,732
    Last push
    Release
    v3.1.3,
    License
    Apache-2.0
    Pricing
    Open source
    Drop score
    58 of 100

    Full stat block for Agno

  3. Rank 15

    Mastra

    Framework

    Builds TypeScript agents and graph-based workflows with memory, RAG, evals and model routing

    Create a project with npm

    npm create mastra@latest
    Use it when, skip it if, stats for Mastra

    Why you'd want it

    Mastra is a TypeScript framework for agents and workflows that plugs into React, Next.js and Node apps or runs as a standalone server. It connects to 40+ model providers through one interface, has a graph-based workflow engine with .then(), .branch() and .parallel(), and can suspend an agent or workflow for human input and resume from stored state. It also covers conversation history, RAG, observational memory, MCP server authoring, evals and observability.

    Best for

    • TypeScript and Next.js teams
    • Agents with human approval steps
    • Apps that need memory and RAG in one stack

    Use it when

    You want agents, workflows, memory and evals in one TypeScript framework instead of assembling separate libraries.

    Skip it if

    You work in Python. Features in ee/ directories (for example auth) need a Mastra enterprise license for production use.

    Stats

    Stars
    28,824
    Last push
    Release
    @mastra/[email protected],
    License
    Apache-2.0
    Pricing
    Open source
    Drop score
    69 of 100

    Full stat block for Mastra

For agents

The same entry, as files an agent can read without scraping this page. 

# read one entry
curl -s https://agenttooldrop.com/tools/google-adk.md

# list the MCP servers in the catalog
curl -s https://agenttooldrop.com/tools.json \
  | jq -r '.tools[] | select(.category=="mcp-server") | .slug'