Comparison
hello-agents vs XAgent
Verdict
Pick hello-agents when license: hello-agents is Other, XAgent is Apache-2.0; pick XAgent when license: XAgent is Apache-2.0, hello-agents is Other.
Markdown twin · hello-agents alternatives · XAgent alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | hello-agents | XAgent |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (698d 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 criticals As of today · osv@v1 |
Tagline
- hello-agents
- Course on building intelligent agents from scratch
- XAgent
- An Autonomous LLM Agent for Complex Task Solving
Stars
- hello-agents
- 65k
- XAgent
- 8.5k
Forks
- hello-agents
- 8.1k
- XAgent
- 902
Open issues
- hello-agents
- 144
- XAgent
- 64
Language
- hello-agents
- Python
- XAgent
- Python
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.
- XAgent
- -
Persona
- hello-agents
- -
- XAgent
- -
Runtime
- hello-agents
- -
- XAgent
- -
License
- hello-agents
- hello-agents is covered under an unconventional license which may require further review before usage.
- XAgent
- Apache-2.0
Last pushed
- hello-agents
- Jul 10, 2026
- XAgent
- Aug 12, 2024
Categories
- hello-agents
- AI Agents, LLM Frameworks
- XAgent
- LLM Frameworks, AI Agents, Vector Databases
Trust and health
Maintenance
- hello-agents
- Very active (96%)
- XAgent
- Dormant (18%)
Days since push
- hello-agents
- 0d
- XAgent
- 698d
Open issues (now)
- hello-agents
- 144
- XAgent
- 64
Security scan
- hello-agents
- No lockfile
- XAgent
- No criticals
Full report
- hello-agents
- Trust report
- XAgent
- Trust report
Choose hello-agents if…
- License: hello-agents is Other, XAgent is Apache-2.0.
- Requirements: Min 4 GB RAM; Python knowledge assumed.
- Tags unique to hello-agents: llm, rag, tutorial, agent.
- 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 XAgent if…
- License: XAgent is Apache-2.0, hello-agents is Other.
- Tags unique to XAgent: python.
- Also covers Vector Databases.
- XAgent ships Docker support for self-hosted deployment.
When NOT to use XAgent
- Last GitHub push was 699 days ago (dormant maintenance, Aug 12, 2024). Validate activity before betting a new project on XAgent.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (OpenBMB/XAgent) · observed Jul 11, 2026
- GitHub forks (OpenBMB/XAgent) · observed Jul 11, 2026
- Last push (OpenBMB/XAgent) · observed Aug 12, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hello-agents 65k · XAgent 8.5k (synced Jul 11, 2026).
Common questions
- What is the difference between hello-agents and XAgent?
- hello-agents: Course on building intelligent agents from scratch. XAgent: An Autonomous LLM Agent for Complex Task Solving. See the comparison table for live GitHub stats and shared categories.
- When should I choose hello-agents over XAgent?
- Choose hello-agents over XAgent when License: hello-agents is Other, XAgent is Apache-2.0; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: llm, rag, tutorial, agent; 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 XAgent over hello-agents?
- Choose XAgent over hello-agents when License: XAgent is Apache-2.0, hello-agents is Other; Tags unique to XAgent: python; Also covers Vector Databases; XAgent ships Docker support for self-hosted deployment.
- 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 XAgent?
- Last GitHub push was 699 days ago (dormant maintenance, Aug 12, 2024). Validate activity before betting a new project on XAgent. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.
- Is hello-agents or XAgent more popular on GitHub?
- hello-agents has more GitHub stars (65,432 vs 8,522). Stars measure visibility, not whether either tool fits your constraints.
- Are hello-agents and XAgent open source?
- Yes - both are open-source projects on GitHub (hello-agents: Other, XAgent: Apache-2.0).
- Where can I find alternatives to hello-agents or XAgent?
- GraphCanon lists graph-backed alternatives at hello-agents alternatives and XAgent alternatives (hello-agents markdown twin, XAgent 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 XAgent?
- hello-agents: Very active. XAgent: Dormant. 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 XAgent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; XAgent trust report.