Home/Compare/hello-agents vs holaOS

Comparison

hello-agents vs holaOS

Verdict

Pick hello-agents when hello-agents is primarily Python; holaOS is TypeScript; pick holaOS when holaOS is primarily TypeScript; hello-agents is Python.

Markdown twin · hello-agents alternatives · holaOS alternatives

GraphCanon updated today

hello-agents logo

hello-agents

datawhalechina/hello-agents

65kpushed Jul 10, 2026
vs
holaOS logo

holaOS

holaboss-ai/holaOS

5.5kpushed Jun 22, 2026

Trust & integrity

Signalhello-agentsholaOS
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Active (19d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No MCP manifest
As of today · mcp_manifest

Tagline

hello-agents
Course on building intelligent agents from scratch
holaOS
Your super agent for work: local-first, learn your working context in mins and never forget it.

Stars

hello-agents
65k
holaOS
5.5k

Forks

hello-agents
8.1k
holaOS
392

Open issues

hello-agents
144
holaOS
7

Language

hello-agents
Python
holaOS
TypeScript

Adopt for

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

Persona

hello-agents
-
holaOS
-

Runtime

hello-agents
-
holaOS
-

License

hello-agents
hello-agents is covered under an unconventional license which may require further review before usage.
holaOS
Other

Last pushed

hello-agents
Jul 10, 2026
holaOS
Jun 22, 2026

Categories

hello-agents
AI Agents, LLM Frameworks
holaOS
AI Agents, Inference & Serving, LLM Frameworks

Trust and health

Maintenance

hello-agents
Very active (96%)
holaOS
Active (82%)

Days since push

hello-agents
0d
holaOS
19d

Open issues (now)

hello-agents
144
holaOS
7

Security scan

hello-agents
No lockfile
holaOS
No MCP manifest

Full report

hello-agents
Trust report

Choose hello-agents if…

  • hello-agents is primarily Python; holaOS is TypeScript.
  • 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.

Choose holaOS if…

  • holaOS is primarily TypeScript; hello-agents is Python.
  • Tags unique to holaOS: agent-harness, agent-os, agentic, ai.
  • Also covers Inference & Serving.

When NOT to use holaOS

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

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

GitHub stars on cards: hello-agents 65k · holaOS 5.5k (synced Jul 11, 2026).

Common questions

What is the difference between hello-agents and holaOS?
hello-agents: Course on building intelligent agents from scratch. holaOS: Your super agent for work: local-first, learn your working context in mins and never forget it.. See the comparison table for live GitHub stats and shared categories.
When should I choose hello-agents over holaOS?
Choose hello-agents over holaOS when hello-agents is primarily Python; holaOS is TypeScript; 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 choose holaOS over hello-agents?
Choose holaOS over hello-agents when holaOS is primarily TypeScript; hello-agents is Python; Tags unique to holaOS: agent-harness, agent-os, agentic, ai; Also covers Inference & Serving.
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.
When should I avoid holaOS?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is hello-agents or holaOS more popular on GitHub?
hello-agents has more GitHub stars (65,432 vs 5,499). Stars measure visibility, not whether either tool fits your constraints.
Are hello-agents and holaOS open source?
Yes - both are open-source projects on GitHub (hello-agents: Other, holaOS: Other).
Where can I find alternatives to hello-agents or holaOS?
GraphCanon lists graph-backed alternatives at hello-agents alternatives and holaOS alternatives (hello-agents markdown twin, holaOS 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, hello-agents or holaOS?
hello-agents: Very active. holaOS: 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 hello-agents and holaOS?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; holaOS trust report.