메뉴
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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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.