Dspy agents

⚒ Evolutionary self-improvement for Hermes Agent — optimize skills, prompts, and code using DSPy + GEPA

36章AI Agent全栈课程：从ReAct循环到Claude Code逆向、MCP/A2A协议、RAG、DSPy、生产可观测性——全部为可运行Python文件。

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

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

Production-grade DSPy 3.2.x agent skills + validated end-to-end examples for Claude Code and Codex CLI — fundamentals, evaluation, GEPA, BetterTogether, and RLM.

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

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

DSPy Go implementation

A minimalist implementation of Agentic Memory architecture is DSPy

Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically

Quickly get up and running with Event Sourcing and Agentic workflows in Clojure

SDKs and reference implementations for the Synadia Agent Protocol for NATS

Claude Code for DSPy: Comprehensive CLI to Optimize Your DSPy Code. our AI-Powered DSPy Development Assistant

AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.

A local-first AI engineering agent that learns from your codebase using DSPy.

Build your own RAG and run it locally on your laptop: ColBERT + DSPy + Streamlit

Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.

An advanced distributed knowledge fabric for intelligent document processing, featuring multi-document agents, optimized query handling, and semantic understanding.

Recursive AI System

Learn DSPy's core abstractions while building a deep research agent.

Unpage is the open source framework for building SRE agents with infrastructure context and secure access to any dev tool.

Test harness for voice agents. Import from Retell, VAPI, Bland, LiveKit. Run autonomous simulations. Evaluate with LLM judges.

A DSPy integration for the Agent Skills specification, enabling ReAct agents to dynamically discover and use modular, sandboxed skills

Building Private Healthcare AI Assistant for Clinics Using Qdrant Hybrid Cloud, DSPy and Groq - Llama3

Stateful AI Agent for Knowledge Extraction

LLM-driven automated knowledge graph construction from text using DSPy and Neo4j

🤖 Autonomous agentic system for visual analytics in the GenAI era

Exploring advanced prompting tools to query SQL database with multiple tables in natural language using LLMs

🤖 AIDevOS: AI-Driven Autonomous DevOps System | Multi-agent collaboration framework with DSPy integration for automated application development and deployment via Durable Objects

Control plane for AI coding agents: route tasks, reduce token spend, run multi-agent workflows, fallback executors, and track cost per task.

Advanced RAG pipeline optimization framework using DSPy. Implements modular RAG pipelines with Query-Rewriting, Sub-Query Decomposition, and Hybrid Search via Weaviate. Automates prompt tuning and few-shot selection using GEPA, SIMBA, MIPRO, COPRO, and BootstrapFewShot optimizers on datasets like FreshQA, HotpotQA, TriviaQA, Wikipedia and PubMedQA.

A production framework for DSPy implementing the Teacher-Student pattern. Distill the reasoning of expensive models (Teacher) into optimized prompts for cheap, fast models (Student) to reduce inference costs by up to 50x.

A multi-agent system built with DSPy that coordinates research and writing agents to produce comprehensive articles on any topic.

Python interface to make requests from EVDS API Server. Fast, efficient and user friendly solution. Caches results to avoid redundant requests. Creates excel files reading configuration text file that can be easily created from the menu or console. Provides visual menu to the user. It is extendable and importable for user's own python projects.

Declarative signature prompt optimizer & MIPROv2 compiler (DSPy style)

Bootstrap teleprompter automated prompt optimization (DSPy style)

Autonomous prompt loss gradient & few-shot exemplar compiler (DSPy / TextGrad)

A PoC of using Weaviate + DSPy to make a BookStore CoPilot

Self-evolve Gemini CLI instructions, commands, and skills via the gemini CLI itself — GA + GEPA/DSPy, with hard gates before apply.

Open, privacy-bounded assurance for AI agents: containment provenance, identity passports, authorization twins, OTel evidence, CI gates, and OSCAL.

Real-time security monitor for AI coding agents. See what Claude Code, Cursor, Codex, and others actually do on your machine.

Local, private prompt optimization with DSPy and Ollama. Rewrites prompts, measures them against your own data, and evolves them from feedback with GEPA.

KSI Ξ Agent Improving Ecosystem. A graph-based orchestration system for evolving AI agents through collaborative improvement and meta-optimization

MCP server for enhancing knowledge base search and retrieval

AI-powered quantitative investment platform with 7-agent swarm orchestration, fractal debate algorithm, 3-tier LLM routing, and automated eToro trading — built for autonomous portfolio management.

aluate agents against readable tasks, improve their instructions, and test the frozen revision on examples the optimizer never saw