Home/Compare/feast vs agents

Comparison

feast vs agents

Verdict

Pick feast when license: feast is Apache-2.0, agents is MIT; pick agents when license: agents is MIT, feast is Apache-2.0.

Markdown twin · feast alternatives · agents alternatives

GraphCanon updated today

feast logo

feast

feast-dev/feast

7.1kpushed Jul 10, 2026
vs
agents logo

agents

wshobson/agents

38kpushed Jul 8, 2026

Trust & integrity

Signalfeastagents
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)
38 low (38 low)
As of today · osv@v1
No MCP manifest
As of today · mcp_manifest

Tagline

feast
The Open Source Feature Store for AI/ML
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

feast
7.1k
agents
38k

Forks

feast
1.4k
agents
4.0k

Open issues

feast
389
agents
1

Language

feast
Python
agents
Python

Adopt for

feast
-
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

feast
-
agents
-

Runtime

feast
-
agents
-

License

feast
Apache-2.0
agents
MIT

Last pushed

feast
Jul 10, 2026
agents
Jul 8, 2026

Categories

feast
Developer Tools
agents
AI Agents, Developer Tools

Trust and health

Days since push

feast
1d
agents
2d

Open issues (now)

feast
389
agents
1

Owner type

feast
Organization
agents
User

Security scan

feast
38 low (38 low)
agents
No MCP manifest

Full report

Choose feast if…

  • License: feast is Apache-2.0, agents is MIT.
  • Tags unique to feast: data-science, ml, features, big-data.
  • More recently updated (last pushed Jul 10, 2026).

When NOT to use feast

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

Choose agents if…

  • License: agents is MIT, feast is Apache-2.0.
  • 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

Explore

Sources

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

GitHub stars on cards: feast 7.1k · agents 38k (synced Jul 11, 2026).

Common questions

What is the difference between feast and agents?
feast: The Open Source Feature Store for AI/ML. 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 feast over agents?
Choose feast over agents when License: feast is Apache-2.0, agents is MIT; Tags unique to feast: data-science, ml, features, big-data; More recently updated (last pushed Jul 10, 2026).
When should I choose agents over feast?
Choose agents over feast when License: agents is MIT, feast is Apache-2.0; 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 feast?
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 feast or agents more popular on GitHub?
agents has more GitHub stars (37,779 vs 7,127). Stars measure visibility, not whether either tool fits your constraints.
Are feast and agents open source?
Yes - both are open-source projects on GitHub (feast: Apache-2.0, agents: MIT).
Where can I find alternatives to feast or agents?
GraphCanon lists graph-backed alternatives at feast alternatives and agents alternatives (feast 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, feast or agents?
feast: 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 feast and agents?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: feast trust report; agents trust report.