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pyspur

PySpur-Dev/pyspur

A visual playground for agentic workflows

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

51views this month

5.8k stars429 forksLast push Jun 29, 2026 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

pyspur alternatives Trust report

pyspur vs langflow pyspur vs agentscope

Verify the decision

Maintenance and security

Full trust report

Maintenance: Steady (50d since push); As of Aug 18, 2026
Provenance: Not a fork · Organization account; As of Aug 18, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

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

Install

npm install pyspur

How it fits your stack(7)

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

Alternative

Both PySpur and LangFlow are tools designed to build and manage AI-powered agents and workflows, with a focus on providing visual interfaces for easier iteration.

PySpur and agentscope both focus on building and operating AI agents with a strong emphasis on visibility, understanding, and trust.

Integrates

openai-agents-python

Since both are frameworks geared towards multi-agent workflows, PySpur can be used to visualize and iterate over OpenAI's open-source Python framework.

RagaAI-Catalyst

PySpur's visual playground for iterating over AI agents can likely integrate with RagaAI-Catalyst's observability and monitoring framework to enhance the agent development lifecycle.

Giskard-OSS focuses on evaluations, red-teaming, and test generation for agentic systems which can directly integrate with PySpur for rapid iteration and testing.

Depends on

ai-agents-for-beginners

PySpur's playground may serve as a more advanced tool for users who start learning AI agents with Microsoft's beginner course, suggesting a dependency relationship.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Assembler for autonomous AI Agents

agents-towards-production

End-to-end, code-first tutorials for building production-grade GenAI agents

agent-framework

Framework for building and deploying AI agents and multi-agent workflows

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

AI Agents Developer Tools

Graph entities

Ollamaframework

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.

Tags

agent agents ai builder framework llm reasoning tool

README

⚡ Quick start This is the quickest way to get started. Python 3.11 or higher is required. 1. Install PySpur: 2. Initialize a new project: This will create a new directory with a file. 3. Start the server: By default, this will start PySpur app at using a sqlite database. We recom...

For agents

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

/tools/pyspur-dev-pyspur.md GET /api/graphcanon/tools/pyspur-dev-pyspur GET /api/graphcanon/graph?tool=pyspur-dev-pyspur

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