Dspy Collection

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💎Aqua

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“The platform for LLM evaluations and AI agent testing”

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💎Aqua

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“The pretty much "official" DSPy framework for Typescript”

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🌊Water

★★

“Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.”

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🔮Psychic

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“Production focused Self-harnessed LM runtime (RLM) that allows the LM to call its sub-lm with DSPy signatures. Define your inputs, outputs, and tools — the model handles its own control flow. Get fully interpretable trajectories and performance that scales directly with model improvements. Without context rot.”

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🔮Psychic

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“A multi-agent LLM system for detecting and resolving cognitive dissonance.”

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🔮Psychic

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“Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework”

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🔥Flame

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“A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.｜从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch”

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🔮Psychic

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“Automated generation of comprehensive Agents.md for LLMs, driven by the DSPy Recursive language model implementation.”

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🔮Psychic

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“Strwythura: construct an entity-resolved knowledge graph from structured data sources and unstructured content sources, implementing an ontology pipeline, plus context engineering for optimizing AI application outcomes within a specific domain. This produces a Streamlit app, with MLOps instrumentation.”

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🌸Fairy

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“The Ruby framework for programming—rather than prompting—language models.”

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🔮Psychic

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“A comprehensive 0-to-1 guide for building self-improving LLM applications with DSPy framework”

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🔮Psychic

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“WIP - Allows you to create DSPy pipelines using ComfyUI”

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🌊Water

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“DSPy Go implementation”

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🔮Psychic

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“This codebase demonstrates various DSPy functionalities through practical examples.”

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🔮Psychic

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“A minimalist implementation of Agentic Memory architecture is DSPy”

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🔮Psychic

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“dspy-cli is a tool for creating, developing, testing, and deploying DSPy programs as HTTP APIs.”

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🔮Psychic

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“Extract structured data from any content using LLMs. ”

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📦Normal

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“Experimental Code for StructuredRAG: JSON Response Formatting with Large Language Models”