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pyspur

PySpur-Dev/pyspur

A visual playground for agentic workflows

GraphCanon updated today · GitHub synced today · 25 views this month

5.8k stars429 forksLast push 1mo TypeScript Apache-2.0

Decision brief

PySpur is a TypeScript-based platform for developing AI agents featuring multimodal interactions and human-in-the-loop capabilities.

Good fit when

  • Need rapid iteration with visual tools
  • Project requires interaction via multiple modalities

Avoid when

  • Focus is strictly on server-side automation without UI
  • Prefer Python for all aspects of development workflow

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Steady (50d since push)
As of today
Provenance
Not a fork · Organization account
As of today
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install pyspur
npm

How it fits your stack(7)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

PySpur provides a platform for developing and iterating over AI agents more efficiently, focusing on human-in-the-loop and multimodal interactions.

Capability facts

Deploy
Self-host

Source: dockerfile:docker-compose.yml · Aug 18, 2026

Docker
Dockerfile present

Source: dockerfile:docker-compose.yml · Aug 18, 2026

Languages
typescript

Source: github.language · Aug 18, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 18, 2026)

This is the quickest way to get started. Python 3.11 or higher is required.
Source link

Tags

README

⚡ Quick start

This is the quickest way to get started. Python 3.11 or higher is required.

  1. Install PySpur:

    pip install pyspur
    
  2. Initialize a new project:

    pyspur init my-project
    cd my-project
    

    This will create a new directory with a .env file.

  3. Start the server:

    pyspur serve --sqlite
    

    By default, this will start PySpur app at http://localhost:6080 using a sqlite database. We recommend you configure a postgres instance URL in the .env file to get a more stable experience.

  4. [Optional] Configure Your Environment and Add API Keys:

    • App UI: Navigate to API Keys tab to add provider keys (OpenAI, Anthropic, etc.)
    • Manual: Edit .env file (recommended: configure postgres) and restart with pyspur serve

For agents

This page has a .md twin and JSON over the API.

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