Comparison
waggle-dance vs hello-agents
Verdict
Pick waggle-dance when waggle-dance is primarily TypeScript; hello-agents is Python; pick hello-agents when hello-agents is primarily Python; waggle-dance is TypeScript.
Markdown twin · waggle-dance alternatives · hello-agents alternatives
GraphCanon updated today
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Trust & integrity
| Signal | waggle-dance | hello-agents |
|---|---|---|
| Maintenance | Archived (936d 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) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- waggle-dance
- Knowledge work automation with AI agents
- hello-agents
- Course on building intelligent agents from scratch
Stars
- waggle-dance
- 172
- hello-agents
- 65k
Forks
- waggle-dance
- 12
- hello-agents
- 8.1k
Open issues
- waggle-dance
- 0
- hello-agents
- 144
Language
- waggle-dance
- TypeScript
- hello-agents
- Python
Adopt for
- waggle-dance
- -
- 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
- waggle-dance
- -
- hello-agents
- -
Runtime
- waggle-dance
- -
- hello-agents
- -
License
- waggle-dance
- MIT
- hello-agents
- hello-agents is covered under an unconventional license which may require further review before usage.
Last pushed
- waggle-dance
- Dec 17, 2023
- hello-agents
- Jul 10, 2026
Categories
- waggle-dance
- Vector Databases, AI Agents, LLM Frameworks
- hello-agents
- LLM Frameworks, AI Agents
Trust and health
Maintenance
- waggle-dance
- Archived (8%)
- hello-agents
- Very active (96%)
Days since push
- waggle-dance
- 936d
- hello-agents
- 0d
Archived on GitHub
- waggle-dance
- Yes
- hello-agents
- No
Open issues (now)
- waggle-dance
- 0
- hello-agents
- 144
Full report
- waggle-dance
- Trust report
- hello-agents
- Trust report
Choose waggle-dance if…
- waggle-dance is primarily TypeScript; hello-agents is Python.
- License: waggle-dance is MIT, hello-agents is Other.
- Tags unique to waggle-dance: autogpt, ai, nextjs, langchain-js.
- Also covers Vector Databases.
- waggle-dance ships Docker support for self-hosted deployment.
When NOT to use waggle-dance
- waggle-dance is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose hello-agents if…
- hello-agents is primarily Python; waggle-dance is TypeScript.
- License: hello-agents is Other, waggle-dance is MIT.
- Requirements: Min 4 GB RAM; Python knowledge assumed.
- Tags unique to hello-agents: 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agi-merge/waggle-dance) · observed Jul 11, 2026
- GitHub forks (agi-merge/waggle-dance) · observed Jul 11, 2026
- Last push (agi-merge/waggle-dance) · observed Dec 17, 2023
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (datawhalechina/hello-agents) · observed Jul 11, 2026
- GitHub forks (datawhalechina/hello-agents) · observed Jul 11, 2026
- Last push (datawhalechina/hello-agents) · observed Jul 10, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: waggle-dance 172 · hello-agents 65k (synced Jul 11, 2026).
Common questions
- What is the difference between waggle-dance and hello-agents?
- waggle-dance: Knowledge work automation with AI agents. hello-agents: Course on building intelligent agents from scratch. See the comparison table for live GitHub stats and shared categories.
- When should I choose waggle-dance over hello-agents?
- Choose waggle-dance over hello-agents when waggle-dance is primarily TypeScript; hello-agents is Python; License: waggle-dance is MIT, hello-agents is Other; Tags unique to waggle-dance: autogpt, ai, nextjs, langchain-js; Also covers Vector Databases; waggle-dance ships Docker support for self-hosted deployment.
- When should I choose hello-agents over waggle-dance?
- Choose hello-agents over waggle-dance when hello-agents is primarily Python; waggle-dance is TypeScript; License: hello-agents is Other, waggle-dance is MIT; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: 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 waggle-dance?
- waggle-dance is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 waggle-dance or hello-agents more popular on GitHub?
- hello-agents has more GitHub stars (65,432 vs 172). Stars measure visibility, not whether either tool fits your constraints.
- Are waggle-dance and hello-agents open source?
- Yes - both are open-source projects on GitHub (waggle-dance: MIT, hello-agents: Other).
- Where can I find alternatives to waggle-dance or hello-agents?
- GraphCanon lists graph-backed alternatives at waggle-dance alternatives and hello-agents alternatives (waggle-dance 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, waggle-dance or hello-agents?
- waggle-dance: Archived. 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 waggle-dance and hello-agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: waggle-dance trust report; hello-agents trust report.