Awesome GitHub RepositoriesCode Generation Agents

Evolver is a self-evolving AI agent framework that uses gene expression programming to autonomously improve agent behaviors through a continuous five-step loop of scanning, selecting, mutating, validating, and solidifying. It functions as an auditable evolution system that records every mutation and selection step, and can translate natural-language problems into executable Python code for automated grading and evaluation. The framework distinguishes itself through a distributed architecture that enables multiple agents to collaborate and share learned experiences across a network. It operate

PraisonAI is an autonomous AI agent platform that coordinates multiple LLM-powered agents for research, planning, and execution of complex workflows. It functions as a multi-agent orchestration framework, a workflow builder, and a Model Context Protocol server, while also providing retrieval-augmented generation through vector knowledge bases. Agents can interact via CLI, web, or standardized protocols with sandboxed code execution. The platform distinguishes itself with a rich set of agent communication protocols, including A2A, REST, WebSocket, voice and telephony integration, and MCP, allo

Potpie is an LLM codebase analysis platform and multi-agent orchestration framework designed to act as an AI software engineer. It parses repositories into a structured code knowledge graph, enabling AI agents to perform multi-hop reasoning, dependency tracing, and grounded technical analysis across large codebases. The system distinguishes itself through a spec-driven development framework where agents generate detailed technical specifications and architecture plans before implementing multi-file code changes. It utilizes a durable execution engine to coordinate specialized AI personas for

Micro-agent 是一个 AI 驱动的代理框架，专注于自动化测试驱动开发、设计转代码转换和外部工具编排。它利用代理根据自然语言提示和设计文件迭代地编写、测试和优化源代码。 该系统通过将实时 URL 与参考截图进行比较以确保视觉一致性，从而将视觉设计标记和组件转换为类型安全、经过 Lint 检查的代码。它还提供了一个协议，用于将代理链接到外部商业、搜索和资产管理服务，以同步数据并扩展功能。 该项目涵盖了迭代代码生成和自动化测试的功能，其中源文件被反复修改直到特定的测试脚本通过。它包括对模型上下文协议 (MCP) 连接器的支持，以及用于管理操作设置和模型选择的命令行界面。

Agent-OS is an LLM multi-agent orchestration framework and AI software development lifecycle tool designed to coordinate specialized agents through shared workspaces and structured task lists. It functions as an agentic application bootstrapper and technical specification engine, providing the infrastructure to guide the process from product requirements to automated coding and deployment. The system distinguishes itself through spec-driven development, using detailed technical specifications and layered context injection to ensure generated code aligns with project standards. It employs a ma