Comparison
hello-agents vs caveman
Verdict
Pick hello-agents if hello-Agents is a systematic learning tutorial for building AI-native intelligent agents, offering hands-on experience with core principles and practical implementation in Python; pick caveman if caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go.
Markdown twin · hello-agents alternatives · caveman alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | hello-agents | caveman |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- hello-agents
- A comprehensive guide to building intelligent agents from scratch
- caveman
- Reduces token usage by 65% through minimalistic language for coding agents
Stars
- hello-agents
- 80k
- caveman
- 106k
Forks
- hello-agents
- 9.9k
- caveman
- 6.2k
Open issues
- hello-agents
- 82
- caveman
- 127
Language
- hello-agents
- Python
- caveman
- Go
Adopt for
- hello-agents
- Hello-Agents is a systematic learning tutorial for building AI-native intelligent agents, offering hands-on experience with core principles and practical implementation in Python.
- caveman
- Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go.
Persona
- hello-agents
- -
- caveman
- -
Runtime
- hello-agents
- -
- caveman
- -
License
- hello-agents
- The license is not specified as open source, but the content is free to read and learn from.
- caveman
- Caveman operates under a split license: MIT for the skill, Agent SDK, and initializer, and BSL-1.1 for the engine-linked runtime, which converts to Apache-2.0 by 2030 or four years after shipping.
Last pushed
- hello-agents
- Sep 17, 2026
- caveman
- Sep 18, 2026
Categories
- hello-agents
- AI Agents, Model Training
- caveman
- AI Agents, Model Training
Trust and health
Open issues (now)
- hello-agents
- 82
- caveman
- 127
Stars delta
- hello-agents
- +6.6k (30d)
- caveman
- +8.0k (30d)
Open issues delta
- hello-agents
- -73 (30d)
- caveman
- -358 (30d)
Owner type
- hello-agents
- Organization
- caveman
- User
OSV dependency advisories
- hello-agents
- No lockfile (source not queried)
- caveman
- No published findings from this source as of 2026-09-18
Full report
- hello-agents
- Trust report
- caveman
- Trust report
Choose hello-agents if…
- hello-agents is primarily Python; caveman is Go.
- Pricing: The content is free to access and learn from, but there may be additional paid services or support options not detailed in the repository..
- Requirements: Min 4 GB RAM; Python is required for practical implementation and hands-on experience with the HelloAgents framework..
- Tags unique to hello-agents: agent, rag, tutorial.
- When you want to focus on building AI-native agents and understand their core principles and practical implementation.
When NOT to use hello-agents
- If you are looking for a tutorial that focuses on software engineering-based agents like Dify or Coze, which are more about process-driven software development.
- If you prefer a tool that does not emphasize the hands-on construction of an agent framework from the ground up using OpenAI's native API.
Choose caveman if…
- caveman is primarily Go; hello-agents is Python.
- Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license..
- Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment..
- Tags unique to caveman: ai, anthropic, caveman, claude.
- caveman ships Docker support for self-hosted deployment.
- When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.
When NOT to use caveman
- If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date.
- When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
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 Sep 20, 2026
- GitHub forks (datawhalechina/hello-agents) · observed Sep 20, 2026
- Last push (datawhalechina/hello-agents) · observed Sep 17, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (JuliusBrussee/caveman) · observed Sep 20, 2026
- GitHub forks (JuliusBrussee/caveman) · observed Sep 20, 2026
- Last push (JuliusBrussee/caveman) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: hello-agents 80k · caveman 106k (synced Sep 20, 2026).
Common questions
- What is the difference between hello-agents and caveman?
- hello-agents: A comprehensive guide to building intelligent agents from scratch. caveman: Reduces token usage by 65% through minimalistic language for coding agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose hello-agents over caveman?
- Choose hello-agents over caveman when hello-agents is primarily Python; caveman is Go; Pricing: The content is free to access and learn from, but there may be additional paid services or support options not detailed in the repository.; Requirements: Min 4 GB RAM; Python is required for practical implementation and hands-on experience with the HelloAgents framework.; Tags unique to hello-agents: agent, rag, tutorial; When you want to focus on building AI-native agents and understand their core principles and practical implementation.
- When should I choose caveman over hello-agents?
- Choose caveman over hello-agents when caveman is primarily Go; hello-agents is Python; Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license.; Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment.; Tags unique to caveman: ai, anthropic, caveman, claude; caveman ships Docker support for self-hosted deployment; When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.
- When should I avoid hello-agents?
- If you are looking for a tutorial that focuses on software engineering-based agents like Dify or Coze, which are more about process-driven software development. If you prefer a tool that does not emphasize the hands-on construction of an agent framework from the ground up using OpenAI's native API.
- When should I avoid caveman?
- If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date. When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
- Is hello-agents or caveman more popular on GitHub?
- caveman has more GitHub stars (106,401 vs 79,727). Stars measure visibility, not whether either tool fits your constraints.
- Are hello-agents and caveman open source?
- Yes - both are open-source projects on GitHub (hello-agents: Other, caveman: Other).
- Where can I find alternatives to hello-agents or caveman?
- GraphCanon lists graph-backed alternatives at hello-agents alternatives and caveman alternatives (hello-agents markdown twin, caveman 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 caveman?
- hello-agents: Very active. caveman: 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 hello-agents and caveman?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; caveman trust report.