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Build, deploy, and monetize autonomous agents across Web3.
Upsonic — build autonomous AI agents in Python, with prebuilt agents, custom tools, MCP and OCR built in.
Upsonic is an open-source ai agents project by Upsonic (Upsonic/Upsonic on GitHub). It has 7,955 GitHub stars and 748 forks, is released under the MIT license, and was last updated on GitHub on 18 June 2026.
Decide whether a prebuilt agent covers your task or you need a custom agent with your own tools, and which LLM it will use.
Clone Upsonic/Upsonic from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.
Install upsonic with uv or pip, adding the OCR extra if your agent must process documents.
Create a minimal autonomous agent from the quickstart, give it one tool and one real task, and check its output before adding complexity.
Build agents designed to work autonomously in Python, not just single prompt-response calls.
Start from the project's ready-made agents and customise them, instead of building every agent from zero.
Add your own tools to an agent so it can act on your systems and data.
Built-in OCR/document capabilities (via the upsonic[ocr] extra) for agents that must read documents.
Connects to Model Context Protocol tooling, so external MCP servers can extend your agents.
Documented IDE integration to develop and work with agents inside your editor workflow.
Get the source from the official GitHub repository for Upsonic.
git clone https://github.com/Upsonic/Upsonic.git
cd UpsonicInstall the package with uv as the README's quick start shows (pip works too).
uv pip install upsonicFollow the README/docs quickstart pattern to create an autonomous agent and run a task.
# In Python: create an Upsonic agent per the quickstart at docs.upsonic.ai, then run your task — see READMEUpsonic, through the Upsonic/Upsonic repository, with documentation at docs.upsonic.ai.
Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.
Agents need an LLM you configure — typically your own provider API key, billed by the provider; the framework itself is free and MIT licensed.
Upsonic focuses on building dependable single and autonomous agents in Python, with prebuilt agents, tools and OCR included. Broader multi-agent frameworks emphasise orchestrating many role-playing agents; Upsonic's pitch is a tighter, production-minded agent toolkit.
Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — create a minimal autonomous agent from the quickstart, give it one tool and one real task, and check its output before adding complexity.
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