lllm

by Productive-Superintelligence · Agent Tool · ★ 99

About lllm

A light-weight framework for building llm agentic systems with additional supports for program synthesis and neural-symbolic research.

agentagentic-aiagentsaianthropicframeworkgeminillmmultiagentopen-source

Quick Facts

Stars99
Forks12
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score36.25/100
Open Issues3
Last Updated2026-05-18
Created2025-11-25
Platformsgemini, python
Est. Tokens~184k

Compatible Skills

These tools work well together with lllm for enhanced workflows:

  • get-physics-done — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • pydantic-deepagents — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • agent-builder — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
  • summoner-agents — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • heurist-agent-framework — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)

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Frequently Asked Questions

What is lllm?

lllm is A light-weight framework for building llm agentic systems with additional supports for program synthesis and neural-symbolic research.. It is categorized as a Agent Tool with 99 GitHub stars.

What programming language is lllm written in?

lllm is primarily written in Python. It covers topics such as agent, agentic-ai, agents.

How do I install or use lllm?

You can find installation instructions and usage details in the lllm GitHub repository at github.com/Productive-Superintelligence/lllm. The project has 99 stars and 12 forks, indicating an active community.

What license does lllm use?

lllm is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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