by vstorm-co
Build Claude Code–style deep agents in Python: tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, and unlimited context — all on Pydantic AI.
# Add to your Claude Code skills
git clone https://github.com/vstorm-co/pydantic-deepagentsGuides for using ai agents skills like pydantic-deepagents.
Last scanned: 5/6/2026
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include_liteparse=True). Parse PDFs, DOCX, XLSX and more locally with optional OCR.instructions= now replaces BASE_PROMPT directly. Use f"{BASE_PROMPT}\n\n..." to extend it. Subagents still get BASE_PROMPT automatically.curl -fsSL .../install.sh | bash installs everything automatically. New pydantic-deep update command. Startup update notifications with 24-hour PyPI cache.pydantic-deep run), Docker sandbox with named workspaces, browser automation via Playwright, Harbor adapter for Terminal Bench evaluation.Full history: CHANGELOG.md
Pydantic Deep Agents is an agent harness — the complete infrastructure that wraps an LLM and makes it a functional autonomous agent. The model provides intelligence; the harness provides planning, tools, memory, sandboxed execution, and unlimited context.
Built natively on pydantic-ai — uses the Capabilities API directly, inherits all pydantic-ai streaming, multi-model support, and Pydantic validation automatically.
A Claude Code-style terminal AI assistant that works with any model and any provider.
curl -fsSL https://raw.githubusercontent.com/vstorm-co/pydantic-deep/main/install.sh | bash
No Python setup required — the script installs uv and the CLI automatically. Then:
export ANTHROPIC_API_KEY=sk-ant-...
pydantic-deep
Windows / manual:
pip install "pydantic-deep[cli]"· Update:pydantic-deep update
Works with any model that supports tool-calling:
| Provider | Example models |
|----------|----------------|
| Anthropic | anthropic:claude-opus-4-6, claude-sonnet-4-6 |
| OpenAI | openai:gpt-5.4, gpt-4.1 |
| OpenRouter | openrouter:anthropic/claude-opus-4-6 (200+ models) |
| Google Gemini | google-gla:gemini-2.5-pro |
| Ollama (local) | ollama:qwen3, ollama:llama3.3 |
| Any OpenAI-compatible | Custom base URL via env |
Switch model anytime: pydantic-deep config set model openai:gpt-5.4 or /model in the TUI.
| | Feature |
|:-:|---------|
| 💬 | Streaming chat with tool call visualization |
| 📁 | File read / write / edit, shell execution, glob, grep |
| 🧠 | Persistent memory and self-improvement across sessions |
| 🗂️ | Task planning, plan mode, and subagent delegation |
| ♾️ | Context compression for unlimited conversations |
| 🔖 | Checkpoints — save, rewind, and fork any session |
| 🌐 | Web search & fetch built-in |
| 🖥️ | Browser automation via Playwright (--browser) |
| 🐳 | Docker sandbox — sandboxed execution with named workspaces |
| 💭 | Extended thinking — minimal / low / medium / high / xhigh |
| 💰 | Real-time cost and token tracking per session |
| 🛡️ | Tool approval dialogs — approve, auto-approve, or deny per tool call |
| @ | @filename file references · !command shell passthrough |
| ✨ | /improve, /skills, /diff, /model, /theme, /compact, and more |
# Interactive TUI (default)
pydantic-deep
pydantic-deep tui --model openrouter:anthropic/claude-opus-4-6
# Headless deep agent — benchmarks, CI/CD, scripted automation
pydantic-deep run "Fix the failing test in test_auth.py"
pydantic-deep run --task-file task.md --json
pydantic-deep run "Refactor utils.py" --no-web-search --thinking false
# Docker sandbox — sandboxed execution, project dir mounted at /workspace
pydantic-deep tui --sandbox docker
pydantic-deep tui --workspace ml-env # named workspace, packages persist
# Browser automation (requires pydantic-deep[browser])
pydantic-deep tui --browser
pydantic-deep run "Go to example.com and summarize the content" --browser
# Config & skills
pydantic-deep config set model anthropic:claude-sonnet-4-6
pydantic-deep skills list
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