The-Pocket/PocketFlow

Health v2 · maintenance only

Flags: prerelease_only

Adoption not part of the score

11135 stars · 1215 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Pocket Flow is a minimalist 100-line LLM framework in Python with zero dependencies, modeling LLM applications as a graph of nodes connected by actions with a shared store. It supports agents, workflows, RAG, multi-agent coordination, and batch/async patterns while leaving vendor-specific utilities to the user.

Use cases

• build llm agents in python without heavy frameworks
• orchestrate multi-step llm workflows as a graph
• implement rag pipelines with a minimal framework
• coordinate multiple ai agents
• let ai coding assistants generate agent code
• avoid vendor lock-in when calling llm apis

When to choose

• you want a tiny, zero-dependency LLM framework you can read and copy entirely
• you need agents, workflows, or RAG without vendor lock-in
• you plan to use AI coding agents to build LLM applications
• you want to implement your own LLM wrappers and utilities

When to avoid

• you need built-in integrations for LLM providers, vector databases, or web search
• you want production-grade features like observability, retries, and tooling out of the box
• you prefer batteries-included frameworks like LangChain

Facets

framework · maturity active

agent-framework rag workflow-automation llm-inference prompt-engineering artificial-intelligence large-language-models developer-tools python cross-platform minimalist zero-dependency graph-based flow-based-programming agentic-coding multi-agent llm-orchestration mit-license ai-agents retrieval-augmented-generation

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markdown · JSON · MCP: product_card(name="The-Pocket/PocketFlow")