Home/Compare/hello-agents vs pmb

Comparison

hello-agents vs pmb

Verdict

Pick hello-agents when license: hello-agents is Other, pmb is Apache-2.0; pick pmb when license: pmb is Apache-2.0, hello-agents is Other.

Markdown twin · hello-agents alternatives · pmb alternatives

GraphCanon updated today

hello-agents logo

hello-agents

datawhalechina/hello-agents

65kpushed Jul 10, 2026
vs
pmb logo

pmb

oleksiijko/pmb

300pushed Jul 11, 2026

Trust & integrity

Signalhello-agentspmb
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 · Personal 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
pmb
Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) over MCP. Decisions, lessons and facts live in one SQLite file on your disk. Offline, multilingual.

Stars

hello-agents
65k
pmb
300

Forks

hello-agents
8.1k
pmb
15

Open issues

hello-agents
144
pmb
5

Language

hello-agents
Python
pmb
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.
pmb
-

Persona

hello-agents
-
pmb
-

Runtime

hello-agents
-
pmb
-

License

hello-agents
hello-agents is covered under an unconventional license which may require further review before usage.
pmb
Apache-2.0

Last pushed

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

Categories

hello-agents
AI Agents, LLM Frameworks
pmb
AI Agents, Vector Databases, LLM Frameworks

Trust and health

Open issues (now)

hello-agents
144
pmb
5

Owner type

hello-agents
Organization
pmb
User

Security scan

hello-agents
No lockfile
pmb
No MCP manifest

Full report

hello-agents
Trust report

Choose hello-agents if…

  • License: hello-agents is Other, pmb 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 pmb if…

  • License: pmb is Apache-2.0, hello-agents is Other.
  • Tags unique to pmb: codex, ai-memory, knowledge-graph, claude-code.
  • Also covers Vector Databases.

When NOT to use pmb

  • 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.
  • 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 · pmb 300 (synced Jul 11, 2026).

Common questions

What is the difference between hello-agents and pmb?
hello-agents: Course on building intelligent agents from scratch. pmb: Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) over MCP. Decisions, lessons and facts live in one SQLite file on your disk. Offline, multilingual.. See the comparison table for live GitHub stats and shared categories.
When should I choose hello-agents over pmb?
Choose hello-agents over pmb when License: hello-agents is Other, pmb 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 pmb over hello-agents?
Choose pmb over hello-agents when License: pmb is Apache-2.0, hello-agents is Other; Tags unique to pmb: codex, ai-memory, knowledge-graph, claude-code; Also covers Vector Databases.
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 pmb?
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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is hello-agents or pmb more popular on GitHub?
hello-agents has more GitHub stars (65,432 vs 300). Stars measure visibility, not whether either tool fits your constraints.
Are hello-agents and pmb open source?
Yes - both are open-source projects on GitHub (hello-agents: Other, pmb: Apache-2.0).
Where can I find alternatives to hello-agents or pmb?
GraphCanon lists graph-backed alternatives at hello-agents alternatives and pmb alternatives (hello-agents markdown twin, pmb 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 pmb?
hello-agents: Very active. pmb: 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 pmb?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; pmb trust report.