prompt-optimizer and SCOPE
Project B is a framework for automatic prompt optimization, which likely leverages or integrates with prompt optimizers like Project A, suggesting they are complementary in an ecosystem where B orchestrates the use of tools like A.
About prompt-optimizer
linshenkx/prompt-optimizer
一款提示词优化器，助力于编写高质量的提示词
Supports multi-model LLM backends (OpenAI, Gemini, DeepSeek, etc.) with dual optimization modes for system and user prompts, plus advanced testing via context variables, multi-turn sessions, and function calling. Available as web app, desktop client, Chrome extension, Docker container, and MCP server for Claude Desktop integration—with client-side data processing and optional password protection for secure deployment.
About SCOPE
JarvisPei/SCOPE
SCOPE: Self-evolving Context Optimization via Prompt Evolution - A framework for automatic prompt optimization
Learns from agent execution traces using a dual-stream memory system that separates task-specific tactical rules from reusable strategic guidelines, with automatic memory optimization via conflict resolution and subsumption pruning. Integrates with 100+ LLM providers through LiteLLM (OpenAI, Anthropic, etc.) and provides a universal async API for injecting evolved prompts into agent workflows. Features Best-of-N candidate selection, configurable synthesis modes, and customizable prompt templates to adapt SCOPE for specialized agent domains without modifying core code.
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