Which is more popular, LLM Agents or PocketFlow?

PocketFlow has more GitHub stars (11,218 vs 1,055).

Which is more actively developed, LLM Agents or PocketFlow?

PocketFlow had more commits in the last 90 days (1 vs 0).

Should I use LLM Agents or PocketFlow?

Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.

LLM Agents vs PocketFlow

Side-by-side comparison of two AI agent tools

Short answer

LLM Agents has had no commit in 15 months; PocketFlow is actively maintained (1 commits in the last 90 days).
PocketFlow is growing faster: +50 GitHub stars in the last 30 days vs +2 for LLM Agents.
Pick LLM Agents for: build agents which are controlled by LLMs. Pick PocketFlow for: pocket Flow: 100-line LLM framework.

From GitHub data refreshed daily.

LLM Agentsopen-source

Build agents which are controlled by LLMs

PocketFlowopen-source

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

Metrics

	LLM Agents	PocketFlow
Stars	1.1k	11.2k
Star velocity /mo	2.0526315789473686	50
Commits (90d)	0	1
Releases (6m)	0	0
Downloads (30d, npm + PyPI)	14	23.9K
Overall score	0.1665593033584882	0.31917704754342385

Pros

+Educational transparency with minimal abstraction layers for understanding agent mechanics
+Easy customization and extension with simple tool integration API
+Lightweight codebase that's easy to modify and debug

Cons

-Limited built-in tools compared to comprehensive frameworks like LangChain
-Requires manual setup of API keys for OpenAI and optional SERPAPI services
-Lacks advanced features like memory management, conversation history, or production optimizations

Use Cases

•Learning how LLM agents work by studying and modifying a simple implementation
•Rapid prototyping of custom agent workflows with specific tool combinations
•Building educational demos or simple automation tasks where transparency matters more than features

View LLM Agents Details View PocketFlow Details

FAQ

Which is more popular, LLM Agents or PocketFlow?: PocketFlow has more GitHub stars (11,218 vs 1,055).
Which is more actively developed, LLM Agents or PocketFlow?: PocketFlow had more commits in the last 90 days (1 vs 0).
Should I use LLM Agents or PocketFlow?: Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.