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Polymarket Agents (GitHub)

Explore Polymarket’s open-source Python framework for combining market data, retrieved research, LLM prompts and agent execution.

2.5/ 5Editorial rating0 user reviews
View repositorygithub.com
Available on
Python, CLI, Docker
Pricing
MIT-licensed source

Screenshots and interface

Product preview1 / 2

Agent framework and modular research features.

What is Polymarket Agents (GitHub)?

Polymarket Agents is a modular developer framework, with connectors, data models, retrieval utilities and a command-line interface. It is most useful as a starting point for understanding how an agent gathers market context and external research before forming an action.

Who it is for

  • Developers studying prediction-market agent architecture
  • Researchers combining market data with retrieved news
  • Teams extending a Python agent prototype

Features and coverage

Available on
Python, CLI, Docker
Markets & venues
Polymarket
  • Market connectors

    Read events and markets through Gamma and Polymarket wrappers.

  • Typed objects

    Represent markets, events and trades with Pydantic models.

  • Retrieval utilities

    Use local or remote retrieval-augmented research workflows.

  • Vector storage

    The Chroma integration stores embedded research material.

  • External sources

    Connect supported betting, news and web-search inputs.

  • Prompt utilities

    Organize LLM interactions around market research.

  • CLI entry point

    Explore markets, news, stored data and supported trading commands.

Workflows with Polymarket Agents (GitHub)

Build a research prototype

Fetch a small set of markets, retrieve relevant external material and inspect the evidence supplied to the model.

Extend a connector

Add or replace a source while preserving the shared market and trade models.

Study the execution boundary

Trace how a model output becomes an order request and replace legacy account handling with the current venue integration where necessary.

Pricing and total cost

MIT-licensed source. Model-provider calls, data-provider access, hosting and venue transactions are separate costs.

Getting started

Before you start: The README targets Python 3.9 and older client conventions.

  1. Create an isolated environment matching the repository’s documented Python version.
  2. Install dependencies and configure the relevant provider credentials.
  3. Use the CLI to read a small market list.
  4. Inspect retrieval and prompt outputs before enabling account actions.
  5. Compare legacy signing and funding instructions with the current official client documentation.

Useful links

    What to check

    • The README targets Python 3.9 and older client conventions.
    • Its funding example uses legacy collateral terminology; use current official account documentation for live setup.
    • The trade application is an execution entry point, not a read-only example.
    • This is a framework requiring configuration and development, not a turnkey hosted assistant.

    A closer look

    Ratings & reviews

    Write a review
    Editorial rating
    2.5/ 5
    0 user reviews
    Polytoolhub editorial

    Our take on Polymarket Agents (GitHub)

    The framework is useful for studying how market data, retrieval and prompts can be connected. Older client and collateral conventions make it a development reference rather than a ready-to-run current integration.

    Based on documented features, setup and access terms. How we rate

    User reviews 0

    The main score switches to user ratings after 5 published reviews.

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    Frequently asked questions about Polymarket Agents (GitHub)

    Is it a ready-made Telegram bot?

    No. It is a Python framework with CLI and application examples.

    Can I replace the research database?

    Its modular design allows other vector-store implementations.

    What is Chroma used for?

    Vectorizing and retrieving research material.

    Should I copy the old funding instructions directly?

    Use the current official wallet and client guides when implementing live account access.