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Comparison

notebook vs agents

Verdict

Pick notebook when notebook is primarily Jupyter Notebook; agents is Python; pick agents when agents is primarily Python; notebook is Jupyter Notebook.

Markdown twin · notebook alternatives · agents alternatives

GraphCanon updated today

notebook logo

notebook

jupyter/notebook

★ 13kpushed Jul 10, 2026
vs
agents logo

agents

wshobson/agents

★ 38kpushed Jul 8, 2026

Trust & integrity

Signalnotebookagents
Maintenance
Very active (1d since push)
As of today · github_public_v1
Very active (2d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No MCP manifest
As of today · mcp_manifest
notebook trust reportagents trust reportTrust methodology

Tagline

notebook
Jupyter Interactive Notebook
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

notebook
13k
agents
38k

Forks

notebook
5.7k
agents
4.0k

Open issues

notebook
1.9k
agents
1

Language

notebook
Jupyter Notebook
agents
Python

Adopt for

notebook
-
agents
The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot

Persona

notebook
-
agents
-

Runtime

notebook
-
agents
-

License

notebook
BSD-3-Clause
agents
MIT

Last pushed

notebook
Jul 10, 2026
agents
Jul 8, 2026

Categories

notebook
Developer Tools
agents
AI Agents, Developer Tools

Trust and health

Days since push

notebook
1d
agents
2d

Open issues (now)

notebook
1.9k
agents
1

Owner type

notebook
Organization
agents
User

Security scan

notebook
No lockfile
agents
No MCP manifest

Full report

notebook
Trust report
agents
Trust report

Choose notebook if…

  • notebook is primarily Jupyter Notebook; agents is Python.
  • License: notebook is BSD-3-Clause, agents is MIT.
  • Tags unique to notebook: closember, jupyter, jupyter notebook, notebook.

When NOT to use notebook

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
GitHubDetails

Choose agents if…

  • agents is primarily Python; notebook is Jupyter Notebook.
  • License: agents is MIT, notebook is BSD-3-Clause.
  • Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
  • Also covers AI Agents.
  • You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments

When NOT to use agents

  • You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
  • Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
GitHubDetails

Explore

notebook trust report →agents trust report →Developer Tools category →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: notebook 13k · agents 38k (synced Jul 11, 2026).

Common questions

What is the difference between notebook and agents?
notebook: Jupyter Interactive Notebook. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
When should I choose notebook over agents?
Choose notebook over agents when notebook is primarily Jupyter Notebook; agents is Python; License: notebook is BSD-3-Clause, agents is MIT; Tags unique to notebook: closember, jupyter, jupyter notebook, notebook.
When should I choose agents over notebook?
Choose agents over notebook when agents is primarily Python; notebook is Jupyter Notebook; License: agents is MIT, notebook is BSD-3-Clause; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers AI Agents; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.
When should I avoid notebook?
Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
When should I avoid agents?
You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
Is notebook or agents more popular on GitHub?
agents has more GitHub stars (37,779 vs 13,242). Stars measure visibility, not whether either tool fits your constraints.
Are notebook and agents open source?
Yes - both are open-source projects on GitHub (notebook: BSD-3-Clause, agents: MIT).
Where can I find alternatives to notebook or agents?
GraphCanon lists graph-backed alternatives at notebook alternatives and agents alternatives (notebook markdown twin, agents markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, notebook or agents?
notebook: Very active. agents: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for notebook and agents?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: notebook trust report; agents trust report.