Home/Compare/hello-agents vs screenpipe

Comparison

hello-agents vs screenpipe

Verdict

Pick hello-agents when hello-agents is primarily Python; screenpipe is Rust; pick screenpipe when screenpipe is primarily Rust; hello-agents is Python.

Markdown twin · hello-agents alternatives · screenpipe alternatives

GraphCanon updated today

hello-agents logo

hello-agents

datawhalechina/hello-agents

65kpushed Jul 10, 2026
vs
screenpipe logo

screenpipe

screenpipe/screenpipe

20kpushed Jul 11, 2026

Trust & integrity

Signalhello-agentsscreenpipe
Maintenance
Very active (0d 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 MCP manifest
As of today · mcp_manifest

Tagline

hello-agents
Course on building intelligent agents from scratch
screenpipe
YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure. Connect to OpenClaw, Hermes agent and 100+ apps

Stars

hello-agents
65k
screenpipe
20k

Forks

hello-agents
8.1k
screenpipe
1.9k

Open issues

hello-agents
144
screenpipe
133

Language

hello-agents
Python
screenpipe
Rust

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.
screenpipe
-

Persona

hello-agents
-
screenpipe
-

Runtime

hello-agents
-
screenpipe
-

License

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

Last pushed

hello-agents
Jul 10, 2026
screenpipe
Jul 11, 2026

Categories

hello-agents
AI Agents, LLM Frameworks
screenpipe
AI Agents, LLM Frameworks, Speech & Audio

Trust and health

Open issues (now)

hello-agents
144
screenpipe
133

Security scan

hello-agents
No lockfile
screenpipe
No MCP manifest

Full report

hello-agents
Trust report
screenpipe
Trust report

Choose hello-agents if…

  • hello-agents is primarily Python; screenpipe is Rust.
  • Requirements: Min 4 GB RAM; Python knowledge assumed.
  • Tags unique to hello-agents: agent, 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 screenpipe if…

  • screenpipe is primarily Rust; hello-agents is Python.
  • Tags unique to screenpipe: agents, agi, ai, ai-memory.
  • Also covers Speech & Audio.

When NOT to use screenpipe

  • 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.

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 · screenpipe 20k (synced Jul 11, 2026).

Common questions

What is the difference between hello-agents and screenpipe?
hello-agents: Course on building intelligent agents from scratch. screenpipe: YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure. Connect to OpenClaw, Hermes agent and 100+ apps. See the comparison table for live GitHub stats and shared categories.
When should I choose hello-agents over screenpipe?
Choose hello-agents over screenpipe when hello-agents is primarily Python; screenpipe is Rust; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: agent, 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 screenpipe over hello-agents?
Choose screenpipe over hello-agents when screenpipe is primarily Rust; hello-agents is Python; Tags unique to screenpipe: agents, agi, ai, ai-memory; Also covers Speech & Audio.
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 screenpipe?
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.
Is hello-agents or screenpipe more popular on GitHub?
hello-agents has more GitHub stars (65,432 vs 19,760). Stars measure visibility, not whether either tool fits your constraints.
Are hello-agents and screenpipe open source?
Yes - both are open-source projects on GitHub (hello-agents: Other, screenpipe: Other).
Where can I find alternatives to hello-agents or screenpipe?
GraphCanon lists graph-backed alternatives at hello-agents alternatives and screenpipe alternatives (hello-agents markdown twin, screenpipe 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 screenpipe?
hello-agents: Very active. screenpipe: 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 screenpipe?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; screenpipe trust report.