--- url: "https://predictiontoolkit.com/tools/polymarket-agents-github/" publisher: "PredictionToolkit" dateModified: "2026-11-03" --- [← AI agents]() ![Polymarket Agents (GitHub) logo]() SDK # Polymarket Agents: study the path from research to an order request Polymarket Agents is Polymarket’s open-source Python framework for agent research and execution. It combines market connectors, structured models, retrieval and prompt tools, with CLI and application examples rather than a hosted assistant. [**2.5**/ 5Editorial rating]() [Editorial assessment]() [Read the official Polymarket Agents repository]() github.com **Available on:** CLI **Pricing:** [See plans and costs ↓]() [Screenshots]() [Explore alternatives]() [AI agents]() [SDKs & libraries]() +1 more [Official developer tools]() ## Screenshots and interface Product preview1 / 2 Overview of the agent framework’s research components. ## What is Polymarket Agents (GitHub)? The modular components show how an agent can gather events, markets and outside research before forming a response or account action. Gamma and Polymarket wrappers provide market context, Pydantic supplies shared objects, and Chroma supports embedded research storage. The documented access paths include Python, CLI and Docker. Treat the repository as a development reference. Its README targets Python 3.9 and older client conventions, and the funding example uses legacy collateral terminology. Compare signing, funding and account handling with current official wallet and client documentation before live integration. The trade application is an execution entry point, not a read-only research example. ### Who it is for - Developers studying prediction-market agent architecture. - Researchers combining market data with retrieved news. - Teams extending a Python agent prototype. ## Clients and supported operations - **Market connectors** Read events and markets through Gamma and Polymarket wrappers. - **Typed data** Represent markets, events and trades with Pydantic models. - **Retrieval workflows** Use local or remote retrieval-augmented research utilities. - **Vector storage** Store embedded research material through the Chroma integration. - **External inputs** Connect supported betting, news and web-search sources. - **Prompt tools** Organize interactions with language models around market research. - **CLI access** Explore markets, news and stored data, and inspect the supported trading commands. ## Development workflows ### Build a research prototype Fetch a small market set, retrieve relevant external material and inspect the evidence passed to the model. ### Extend a connector Add or replace a source while preserving the shared market and trade models. ### Trace the execution boundary Follow a model result through to an order request. Replace legacy account handling with the current venue integration wherever required. ## Pricing and total cost The source is MIT-licensed. Model calls, data-provider access, hosting and venue transactions have separate costs; the code license does not include those services. ## Installation and configuration 1. Create an isolated environment matching the repository’s documented Python version. 2. Install dependencies and configure the relevant provider credentials. 3. Read a small market list through the CLI. 4. Inspect retrieved material and prompt outputs before enabling account actions. 5. Compare legacy signing and funding instructions with current official client documentation. ## Useful links ### What to check - The funding example uses legacy collateral terminology; use current official account guides for live setup. - The trade application can execute account actions and is not a read-only example. - The framework requires configuration and development; it is not a turnkey hosted assistant. A closer look ## Ratings & reviews Editorial rating **2.5**/ 5 0 user reviews PredictionToolkit editorial ### Our take on Polymarket Agents (GitHub) Use Polymarket Agents to inspect an agent pipeline: market connectors feed retrieved material and prompts within one Python framework. The repository is valuable as a development reference, but its older client and collateral examples leave current account integration work to the developer rather than supplying a ready-to-run solution. **Assessment criteria:** Task usefulness, documented scope, setup clarity, and access and cost transparency. **Assessment date:** 2026-10-01 **Documentation reviewed:** 2026-10-01 Documentation-based assessment. [How we rate]() ### User reviews 0 The main score switches to user ratings after 5 published reviews. **Be the first to share your experience** A specific example helps the next person choose the right tool. ## Related tools [Browse category]() ![Official Polymarket Python SDK installation and quickstart]() ![Polymarket Python SDK logo]()[Polymarket Python SDK]() SDK**4.0**Editorial Typed sync and async clients for scripts, notebooks, account workflows and real-time subscriptions. - Language Python The current official Python integration. ![Numinous Tools agent-skill overview and installation paths]() [Numinous Tools]() SDK**3.5**Editorial Request forecasts and market evidence from an agent while tracking separately metered API usage. - Language Python Add Numinous forecasts and sourced signals to a compatible research agent through its skill package. ![Simmer SDK introduction and integration paths]() ![Simmer SDK logo]()[Simmer SDK]() SDK**3.5**Editorial Develop agent strategies with research, paper trading, replay and supported live integrations. - Language Python - Access CLI A newer agent-oriented strategy harness with paper modes. ## Frequently asked questions about Polymarket Agents (GitHub) ### Is it a ready-made Telegram bot? No. It is a Python framework with a CLI and application examples. ### Can I replace the research database? Its modular structure permits other vector-store implementations. ### What does Chroma do? It supports vectorizing and retrieving research material. ### Should I copy the funding example directly? Use current official wallet and client guides when implementing live account access, and reconcile the repository’s older instructions first. In this profile