菜单
Run a self-hosted terminal agent or custom Pydantic AI harness that can branch a coding or research run, test isolated alternatives, and merge the winning branch.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use Vocode to compose transcription, LLM, speech synthesis, and telephony components into reviewable real-time voice-agent workflows.
Use Claude Legal Skill to guide an agent through contract risk review, CUAD-style clause checks, market benchmarks, and lawyer-ready redline suggestions.
Use SWE-ReX when a coding agent needs a consistent runtime interface for local, containerized, or remote shell sessions with command output, exit codes, interactive tools, and parallel execution.
Use Text Extract API when an agent needs to turn PDFs, Office files, or images into Markdown or structured JSON with local OCR, optional Ollama models, PII removal, and queued batch processing.
Route model calls through Helicone, inspect costs, latency, traces, prompts, and evaluations, then review changes before they ship.
Launch an OpenAI-compatible OpenLLM server for a chosen open model, point an agent runtime at it, and compare behavior before production use.
| name | Fork and merge Pydantic AI agent runs with Pydantic Deep Agents |
| slug | fork-and-merge-pydantic-ai-agent-runs-with-pydantic-deep-agents |
| description | Run a self-hosted terminal agent or custom Pydantic AI harness that can branch a coding or research run, test isolated alternatives, and merge the winning branch. |
| github_stars | 912 |
| verification | security_reviewed |
| source | https://github.com/vstorm-co/pydantic-deepagents |
| author | vstorm-co |
| publisher_type | organization |
| category | Developer Tools |
| framework | Custom Agents |
| tool_ecosystem | {"github_repo":"vstorm-co/pydantic-deepagents","github_stars":912} |
Run a self-hosted terminal agent or custom Pydantic AI harness that can branch a coding or research run, test isolated alternatives, and merge the winning branch.
Python 3.10+, pydantic-deep CLI or Python package, approved model provider key, optional sandbox support for isolated execution
Install the package in the Python environment that will run the local agent harness:
pip install pydantic-deep
Use the upstream documentation for current CLI and framework setup details:
A minimal ASE-safe workflow is:
Treat this as a self-hosted custom-agent workflow for branching and evaluating Pydantic AI runs. It is not a generic Claude Code replacement, and it should not be wired to broad shell or repository permissions until the branch/test/merge loop is constrained and reviewed.