LibreAI / AI Agents / pyspur
// agents · PySpur-Dev/pyspur

pyspur

pyspur is an open-source ai agents project by PySpur-Dev (PySpur-Dev/pyspur on GitHub). It has 5,798 GitHub stars and 430 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 29 June 2026.

A visual playground for agentic workflows: Iterate over your agents 10x faster

★ 5.8k stars⑂ 430 forksApache-2.0updated 2026-06
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

GitHub stars
5,798
Forks
430
License
Apache-2.0
Last updated on GitHub
29 June 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Define the job

    Research, coding, browsing, or ops — agents work best with a clear goal.

  2. Pick a framework

    From no-code builders to code-first SDKs, match complexity to the task.

  3. Give it tools

    Web search, code execution, and APIs are what make agents useful.

  4. Run and supervise

    Watch the trace, approve consequential actions, iterate.

// features

Why people love it

LLM-powered

Large language models drive its smartest features, locally or via API.

Multi-agent teams

Specialized agents collaborate on bigger jobs.

Tool use

Agents call real tools: browsers, terminals, APIs.

Evaluations

Benchmarks keep agent quality measurable.

Self-hosted

Run agents on your infra with your keys.

Model agnostic

Swap frontier models as better ones appear.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/PySpur-Dev/pyspur.git
    cd pyspur
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

  • Automate deep research tasks.
  • Let agents write and test code.
  • Build support bots that actually act.
  • Orchestrate multi-step business ops.
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// faq

Questions, answered

Who maintains pyspur?

It is an open-source project at PySpur-Dev/pyspur with 430 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is pyspur free for commercial use?

Apache 2.0 licensed — commercial use allowed with attribution.

Do I need to code?

Builders exist, but code-first frameworks go further.

What does it cost to run?

Model API bills dominate; self-hosted stacks cut that sharply.

Are agents reliable enough?

For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.

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// more in agents

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Get pyspur

Free and open — grab the source, star the repo, and start creating.