AgentToolDrop

37 of 71

Agno

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

Install with pip

pip install -U agno openai

Copied from the project's docs at docs.agno.com/sdk/setup

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.

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 47

    Google Agent Development Kit (ADK)

    Framework

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

    • score 52
    • 21.9k stars
    • pushed
    • v2.12.0 on
    • Apache-2.0

    Install with pip

    pip install google-adk
    Use it when, skip it if, stats for Google Agent Development Kit (ADK)

    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.

    Stats

    Stars
    21,852
    Last push
    Release
    v2.12.0,
    License
    Apache-2.0
    Pricing
    Open source
    Drop score
    52 of 100

    Full stat block for Google Agent Development Kit (ADK)

  3. Rank 28

    OpenAI Agents SDK

    Framework

    Builds multi-agent workflows with handoffs, guardrails, sessions and built-in tracing

    • score 61
    • 30k stars
    • pushed
    • v0.23.1 on
    • MIT

    Install with pip

    pip install openai-agents
    Use it when, skip it if, stats for OpenAI Agents SDK

    Why you'd want it

    The OpenAI Agents SDK is a lightweight Python framework where agents are LLMs configured with instructions, tools, guardrails and handoffs to other agents. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs plus 100+ other LLMs, and includes sessions for conversation history, human-in-the-loop, and built-in tracing of agent runs. It also covers sandbox agents that work in a container over long tasks, plus realtime and voice agents.

    Best for

    • Multi-agent apps with handoffs
    • Voice and realtime agents
    • Teams on the OpenAI API

    Use it when

    You want a small set of primitives (agents, tools, handoffs, guardrails) with tracing built in, and may want voice or sandboxed agents later.

    Skip it if

    You work in JavaScript or TypeScript; use the separate Agents SDK JS/TS (openai/openai-agents-js) instead. The Python package needs Python 3.10 or newer.

    Stats

    Stars
    30,038
    Last push
    Release
    v0.23.1,
    License
    MIT
    Pricing
    Open source
    Drop score
    61 of 100

    Full stat block for OpenAI Agents SDK

For agents

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

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

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