#140 · Primary category： LLM Application Frameworks
promptulate
🚀Lightweight Large language model automation and Autonomous Language Agents development framework. Build your LLM Agent Application in a pythonic way!
Project last updated：07/14/26
GitHub Stars
512
Forks
43
Contributors
10
License
Apache-2.0
Why we included this project
Promptulate targets developers who want an LLM application without adopting a heavy framework. It puts LLM calls, agents, tools, and basic RAG behind a compact Pythonic API, so most tasks come down to a few lines of code through a single chat function. The agent side gets real attention, with ready-made types for web, tool, and code work that can plan and act, plus a hook and lifecycle system for dropping custom behavior in at specific stages. Model support is broad through LiteLLM, so you are not locked into one provider. It is especially handy when you want to prototype fast, turn existing Python functions into tools, or replace a bare OpenAI SDK call with something that includes caching and terminal debugging.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
langchain
The agent engineering platform.
dify
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
litellm
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
llama_index
LlamaIndex is the leading document agent and OCR platform