Pinaxai is a lightweight library for building Agents with memory, knowledge, tools and reasoning. Developers use Pinaxai to build Reasoning Agents, Multimodal Agents, Teams of Agents and Agentic Workflows. Pinaxai also provides a beautiful UI to chat with your Agents, pre-built FastAPI routes to serve your Agents and tools to monitor and evaluate their performance. Here’s an Agent that writes a report on a stock, reasoning through each step:

reasoning_finance_agent.py

from pinaxai.agent import Agent
from pinaxai.models.anthropic import Claude
from pinaxai.tools.reasoning import ReasoningTools
from pinaxai.tools.yfinance import YFinanceTools

agent = Agent(
    model=Claude(id="claude-3-7-sonnet-latest"),
    tools=[
        ReasoningTools(add_instructions=True),
        YFinanceTools(stock_price=True, analyst_recommendations=True, company_info=True, company_news=True),
    ],
    instructions=[
        "Use tables to display data",
        "Only output the report, no other text",
    ],
    markdown=True,
)
agent.print_response("Write a report on NVDA", stream=True, show_full_reasoning=True, stream_intermediate_steps=True)

Here's the Reasoning Agent in action

Key features

Pinaxai is simple, fast and model-agnostic. Here are some key features:

Model Agnostic: Pinaxai Agents can connect to 23+ model providers, no lock-in.
Lightning Fast: Agents instantiate in ~3μs and use ~5Kib memory on average (see performance for more details).
Reasoning is a first class citizen: Make your Agents “think” and “analyze” using Reasoning Models, ReasoningTools or our custom chain-of-thought approach.
Natively Multi-Modal: Pinaxai Agents are natively multi-modal, they can take in text, image, audio and video and generate text, image, audio and video as output.
Advanced Multi-Agent Architecture: Pinaxai provides an industry leading multi-agent architecture (Agent Teams) with 3 different modes: route, collaborate and coordinate.
Agentic Search built-in: Give your Agents the ability to search for information at runtime using one of 20+ vector databases. Get access to state-of-the-art Agentic RAG that uses hybrid search with re-ranking. Fully async and highly performant.
Long-term Memory & Session Storage: Pinaxai provides plug-n-play Storage & Memory drivers that give your Agents long-term memory and session storage.
Structured Outputs: Pinaxai Agents can return fully-typed responses using model provided structured outputs or json_mode.
Pre-built FastAPI Routes: Pinaxai provides pre-built FastAPI routes to serve your Agents, Teams and Workflows.
Monitoring: Monitor agent sessions and performance in real-time on pinax.tech.

Getting Started

If you’re new to Pinaxai, start by building your first Agent, chat with it on the playground and finally, monitor it on app.pinax.tech using this guide.