Awesome Ai Agents 2026
Section: General Purpose · Stanford. Programming not prompting. Auto-optimizes.
ActiveScore 74
Entry
DSPy
Appears in 11 awesome lists
(MIT) is a framework for algorithmically optimizing LM prompts and weights. DSPy introduced typed predictor and signatures to leverage Pydantic for enforcing type constraints on inputs and outputs, improving upon string-based fields.
Open github.comstanfordnlp/dspy
Found in these lists
Awesome Generative AI
Section: Large Language Models (LLMs) · DSPy: The framework for programming — not prompting — foundation models
SlowScore 62
Awesome Generative AI Data Scientist
Section: Other · DSPy: The framework for programming—not prompting—foundation models.
SlowScore 52
Awesome LangChain
Section: Other LLM Frameworks · The framework for programming—not prompting—foundation models
FreshScore 90
Awesome LLM JSON List
Section: Python Libraries · (MIT) is a framework for algorithmically optimizing LM prompts and weights. DSPy introduced typed predictor and signatures to leverage Pydantic for enforcing type constraints on inputs and outputs, improving upon string-based fields.
StaleScore 55
Awesome Open Source AI
Section: 4. Agentic AI & Multi-Agent Systems · Framework for programming language model pipelines with modules, optimizers, and evaluation loops.
FreshScore 89
Awesome Production Machine Learning
Section: Industry Strength Natural Language Processing · A framework for programming with foundation models.
FreshScore 92
Awesome Prompts
Section: Prompt Programming · Write LM pipelines declaratively, then compile — DSPy auto-optimizes prompts and few-shot demonstrations. The strongest engineering-first approach.
FreshScore 90
awesome-python
Section: Other · DSPy: The framework for programming—not prompting—language models
FreshScore 81
Awesome AI Agents: Tools, Resources, and Projects
Section: Repositories · A cutting-edge framework that compiles declarative language model calls into self-improving pipelines, enabling the systematic and efficient optimization of LM prompts and weights within complex systems github
SlowScore 68
Awesome Python
Section: AI and Agents · A framework for programming, not prompting, language models.
FreshScore 94
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