Phidata — AI Agent Framework: Live Stats & TrendScore

Phidata builds AI agents with memory, knowledge, and reasoning tools. We track how its approach compares to CrewAI and LangGraph for production agentic applications.

GitHub data synced: May 4, 2026 • Sentiment updated: Apr 10, 2026

GitHub Statistics

Community Sentiment

Community Buzz: Phidata is a great tool for building AI agents, as seen on GitHub: 'Phidata agents run autonomously — web search, data analysis, code execution' and on HackerNews: 'You probably already know, but in case you don’t, python has phidata'

Pros & Cons

What People Love

The ability to build AI agents with Phidata, as seen on Dev.to, The ease of use of Phidata, as mentioned on GitHub, The flexibility of Phidata, as discussed on HackerNews, The performance of Phidata, as noted on GitHub

Common Complaints

No significant complaints in recent discussions, However, some users on stackoverflow.com have reported issues with PDF reading and date conversion, Additionally, a user on GitHub reported a problem with Unix timestamp conversion

Biggest Positive: Easy AI agent building

Biggest Negative: Vulnerability issues

Why Phidata Stands Out

Phidata is valuable because it takes a unique approach to agentic software development. By integrating 100+ APIs and background execution, Phidata enables developers to build complex systems that can learn and adapt in real-time. Additionally, Phidata's stateless, horizontally scalable runtime ensures high performance and per-user and per-session isolation ensures secure data handling. This makes Phidata an ideal choice for developers looking to build complex, multi-agent systems.

Built With

Build a personal research assistant that reads 50 papers and writes a literature review — Phidata chains search, extraction, and synthesis agents automatically, Build a self-learning data agent that grounds in six layers of context — Phidata integrates 50+ APIs and background execution, Build a multi-agent investment committee that debates and allocates capital — Phidata enables runtime approval enforcement and native tracing, Build a post-IDE coding agent that improves over time — Phidata enables per-user and per-session isolation, Build a personal agent that learns your preferences — Phidata integrates guardrails and evaluations into the agent loop

Getting Started

  1. pip install uvx
  2. export ANTHROPIC_API_KEY='***'
  3. uvx --python 3.12 --with 'agno[os]' --with anthropic --with mcp fastapi dev agno_assist.py
  4. Open [os.agno.com](https://os.agno.com) and sign in
  5. Click 'Add new OS' in the top navigation
  6. Enter your endpoint URL (default: http://localhost:8000)

About

Run agents as production software.

Official site: https://docs.agno.com

Category & Tags

Category: data

Tags: agents, ai, ai-agents, developer-tools, python

Market Context

Phidata is a competitive AI agent framework, with comparable features to other tools like Agno and LangDB