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Comparison

hyperopt vs agents

Verdict

Pick hyperopt when license: hyperopt is Other, agents is MIT; pick agents when license: agents is MIT, hyperopt is Other.

Markdown twin · hyperopt alternatives · agents alternatives

GraphCanon updated today

hyperopt logo

hyperopt

hyperopt/hyperopt

★ 7.6kpushed Jun 8, 2026
vs
agents logo

agents

wshobson/agents

★ 38kpushed Jul 8, 2026

Trust & integrity

Signalhyperoptagents
Maintenance
Steady (33d 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
hyperopt trust reportagents trust reportTrust methodology

Tagline

hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

hyperopt
7.6k
agents
38k

Forks

hyperopt
1.1k
agents
4.0k

Open issues

hyperopt
6
agents
1

Language

hyperopt
Python
agents
Python

Adopt for

hyperopt
-
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

hyperopt
-
agents
-

Runtime

hyperopt
-
agents
-

License

hyperopt
Other
agents
MIT

Last pushed

hyperopt
Jun 8, 2026
agents
Jul 8, 2026

Categories

hyperopt
Developer Tools
agents
AI Agents, Developer Tools

Trust and health

Maintenance

hyperopt
Steady (60%)
agents
Very active (96%)

Days since push

hyperopt
33d
agents
2d

Open issues (now)

hyperopt
6
agents
1

Owner type

hyperopt
Organization
agents
User

Security scan

hyperopt
No lockfile
agents
No MCP manifest

Full report

hyperopt
Trust report
agents
Trust report

Choose hyperopt if…

  • License: hyperopt is Other, agents is MIT.
  • Tags unique to hyperopt: python, hacktoberfest.

When NOT to use hyperopt

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

Choose agents if…

  • License: agents is MIT, hyperopt is Other.
  • Tags unique to agents: agent-skills, workflows, agentic-ai, 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

hyperopt 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: hyperopt 7.6k · agents 38k (synced Jul 11, 2026).

Common questions

What is the difference between hyperopt and agents?
hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python. 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 hyperopt over agents?
Choose hyperopt over agents when License: hyperopt is Other, agents is MIT; Tags unique to hyperopt: python, hacktoberfest.
When should I choose agents over hyperopt?
Choose agents over hyperopt when License: agents is MIT, hyperopt is Other; Tags unique to agents: agent-skills, workflows, agentic-ai, 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 hyperopt?
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 hyperopt or agents more popular on GitHub?
agents has more GitHub stars (37,779 vs 7,588). Stars measure visibility, not whether either tool fits your constraints.
Are hyperopt and agents open source?
Yes - both are open-source projects on GitHub (hyperopt: Other, agents: MIT).
Where can I find alternatives to hyperopt or agents?
GraphCanon lists graph-backed alternatives at hyperopt alternatives and agents alternatives (hyperopt 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, hyperopt or agents?
hyperopt: Steady. 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 hyperopt and agents?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hyperopt trust report; agents trust report.