affaan-m/ECC
ECC is a comprehensive agent harness performance optimization system providing skills, instincts, memory, security, and research-first development for various AI agent harnesses including Claude Co...
vstorm-co/pydantic-deepagents
Pydantic Deep Agents is a robust Python framework designed for developing advanced autonomous AI agents, drawing inspiration from architectures used in prominent AI products like Claude Code and Devin. It facilitates the creation of agents with strong planning capabilities, direct filesystem interaction, subagent delegation for complex tasks, persistent memory, and crucial context management features, including auto-summarization for effectively handling unlimited context. The framework supports structured output through Pydantic models, enabling type-safe interactions and data handling. Beyond just a framework, Pydantic Deep Agents also offers a command-line interface (CLI) that provides an out-of-the-box terminal AI assistant, complete with file manipulation, shell execution, task planning, and built-in commands for common development tasks. Additionally, it features DeepResearch, a full-fledged reference application demonstrating a research agent with a web UI, web search integration, sandboxed code execution, and dynamic diagramming via Excalidraw, showcasing the framework's versatility. The project emphasizes modularity and configurability, allowing developers to selectively include or exclude features such as task planning, filesystem tools, subagents, skills, context management, and cost tracking. It incorporates lifecycle hooks for custom event handling and provides robust cost tracking mechanisms to manage token and USD budgets. By leveraging Pydantic-AI, it ensures structured and reliable agent development, making it suitable for building sophisticated AI solutions.
https://github.com/vstorm-co/pydantic-deepagents
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