pydantic-deepagents
A self-hosted terminal AI assistant and Python framework built on Pydantic AI, offering sandboxed execution, multi-agent teams, and skills for build, code review, git workflow, and data formats, with any model supported.

A self-hosted terminal AI assistant and Python framework built on Pydantic AI, offering sandboxed execution, multi-agent teams, and skills for build, code review, git workflow, and data formats, with any model supported.
Building, compiling, and resolving dependency issues across languages
Systematic code review for bugs, security, style, and performance
Working with diverse data formats: binary, text, structured, and custom
Best practices for creating research diagrams with Excalidraw MCP tools
Systematic exploration of unknown environments before starting work
Git operations: commits, branches, PRs, and conflict resolution
Writing efficient code that handles large data and tight constraints
Refactor code to improve structure and maintainability
Guidelines for writing well-structured, cited research reports
Best practices for systematic research, source evaluation, and evidence gathering
Create new reusable skills from conversation context
Systematic approach to diagnosing and fixing errors
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