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Comparison

core vs hello-agents

Verdict

Pick core when license: core is GPL-3.0, hello-agents is Other; pick hello-agents when license: hello-agents is Other, core is GPL-3.0.

Markdown twin · core alternatives · hello-agents alternatives

GraphCanon updated today

core logo

core

cheshire-cat-ai/core

★ 3.1kpushed Jul 8, 2026
vs
hello-agents logo

hello-agents

datawhalechina/hello-agents

★ 65kpushed Jul 10, 2026

Trust & integrity

Signalcorehello-agents
Maintenance
Very active (2d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
2 low (2 low)
As of today · mcp_manifest@v1
No lockfile
As of today · none
core trust reporthello-agents trust reportTrust methodology

Tagline

core
AI agent microservice
hello-agents
Course on building intelligent agents from scratch

Stars

core
3.1k
hello-agents
65k

Forks

core
410
hello-agents
8.1k

Open issues

core
4
hello-agents
144

Language

core
Python
hello-agents
Python

Adopt for

core
-
hello-agents
hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods.

Persona

core
-
hello-agents
-

Runtime

core
-
hello-agents
-

License

core
GPL-3.0
hello-agents
hello-agents is covered under an unconventional license which may require further review before usage.

Last pushed

core
Jul 8, 2026
hello-agents
Jul 10, 2026

Categories

core
AI Agents, Vector Databases, LLM Frameworks
hello-agents
AI Agents, LLM Frameworks

Trust and health

Days since push

core
2d
hello-agents
0d

Open issues (now)

core
4
hello-agents
144

Security scan

core
2 low (2 low)
hello-agents
No lockfile

Full report

core
Trust report
hello-agents
Trust report

Choose core if…

  • License: core is GPL-3.0, hello-agents is Other.
  • Tags unique to core: assistant, ag-ui-protocol, ai, docker.
  • Also covers Vector Databases.

When NOT to use core

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose hello-agents if…

  • License: hello-agents is Other, core is GPL-3.0.
  • Requirements: Min 4 GB RAM; Python knowledge assumed.
  • Tags unique to hello-agents: llm, rag, tutorial.
  • You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up.

When NOT to use hello-agents

  • Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application.
  • Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG.
GitHubDetails

Explore

core trust report →hello-agents trust report →AI Agents category →Vector Databases category →LLM Frameworks 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: core 3.1k · hello-agents 65k (synced Jul 11, 2026).

Common questions

What is the difference between core and hello-agents?
core: AI agent microservice. hello-agents: Course on building intelligent agents from scratch. See the comparison table for live GitHub stats and shared categories.
When should I choose core over hello-agents?
Choose core over hello-agents when License: core is GPL-3.0, hello-agents is Other; Tags unique to core: assistant, ag-ui-protocol, ai, docker; Also covers Vector Databases.
When should I choose hello-agents over core?
Choose hello-agents over core when License: hello-agents is Other, core is GPL-3.0; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: llm, rag, tutorial; You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up.
When should I avoid core?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid hello-agents?
Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application. Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG.
Is core or hello-agents more popular on GitHub?
hello-agents has more GitHub stars (65,432 vs 3,072). Stars measure visibility, not whether either tool fits your constraints.
Are core and hello-agents open source?
Yes - both are open-source projects on GitHub (core: GPL-3.0, hello-agents: Other).
Where can I find alternatives to core or hello-agents?
GraphCanon lists graph-backed alternatives at core alternatives and hello-agents alternatives (core markdown twin, hello-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, core or hello-agents?
core: Very active. hello-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 core and hello-agents?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: core trust report; hello-agents trust report.