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Deep Agents

10 articles · Page 1 of 1
Tech Freedom Circle
Tech Freedom Circle
Jun 9, 2026 · Artificial Intelligence

Deep Dive into Harness’s Sandbox Infra: How Deep Agents Enable Secure AI Execution

This article provides a detailed technical analysis of Harness’s Sandbox infrastructure, explaining how Deep Agents’ sandbox backend isolates file operations and command execution, the role of the single execute() entry point, security guarantees, lifecycle management, and practical integration steps for Docker, Kubernetes, or commercial sandbox providers.

AIDeep AgentsHarness
0 likes · 39 min read
Deep Dive into Harness’s Sandbox Infra: How Deep Agents Enable Secure AI Execution
Tech Ocean
Tech Ocean
May 20, 2026 · Artificial Intelligence

Deep Agents Explained: Skills Manage Internals, MCP/A2A/ACP Manage Externals

The article maps the four core mechanisms of Deep Agents—Skills, MCP, A2A, and ACP—explaining how Skills governs internal agent behavior while the three protocols handle external tool integration, agent‑to‑agent collaboration, and client‑to‑agent communication, and offers guidance on when to adopt each layer.

A2AACPAgent Architecture
0 likes · 7 min read
Deep Agents Explained: Skills Manage Internals, MCP/A2A/ACP Manage Externals
Tech Ocean
Tech Ocean
May 5, 2026 · Artificial Intelligence

Choosing Between LangChain, LangGraph, and Deep Agents: A Visual Guide

The article compares LangChain, LangGraph, and Deep Agents, outlining their roles, core differences, strengths, and weaknesses, and then maps typical LLM‑agent development scenarios to the most suitable framework, providing a concise decision matrix for developers.

AI developmentAgent FrameworkDeep Agents
0 likes · 7 min read
Choosing Between LangChain, LangGraph, and Deep Agents: A Visual Guide
Tech Ocean
Tech Ocean
May 5, 2026 · Artificial Intelligence

Build a Runnable Knowledge‑Base QA Skeleton with Deep Agents in 10 Days

This article walks through a lightweight, runnable knowledge‑base question‑answering skeleton built with Deep Agents, explains its current capabilities and limitations, shows the project structure and core code, and outlines a step‑by‑step upgrade path toward a production‑grade RAG system.

AgentCLIDeep Agents
0 likes · 13 min read
Build a Runnable Knowledge‑Base QA Skeleton with Deep Agents in 10 Days
Tech Ocean
Tech Ocean
May 5, 2026 · Artificial Intelligence

From Local Deep Agent to Callable Service: CLI vs API Integration Guide

The article explains how to transition Deep Agents from a local CLI debugging tool to production-ready callable services, comparing CLI, Python SDK, LangGraph service, and ACP, and provides practical code examples, deployment steps, and a pre‑launch checklist for secure enterprise integration.

APIAgent IntegrationCLI
0 likes · 11 min read
From Local Deep Agent to Callable Service: CLI vs API Integration Guide
Tech Ocean
Tech Ocean
May 5, 2026 · Artificial Intelligence

Deep Agents Day 9: Skills and HITL for Enforcing Team Rules with Human Approval

The article explains how Deep Agents’ skills and the interrupt_on (HITL) configuration let teams embed professional procedures and require human review for high‑risk tool calls, detailing the file‑based skill format, appropriate use cases, and how permissions, sandboxing, and logging complete the security stack.

AI safetyDeep AgentsHITL
0 likes · 9 min read
Deep Agents Day 9: Skills and HITL for Enforcing Team Rules with Human Approval
Tech Ocean
Tech Ocean
May 2, 2026 · Backend Development

Day 4 Deep Agents: File System & Permission Boundaries for Safe AI Editing

The article explains how Deep Agents separates file tools, backend storage, and permission rules to prevent AI from missing required files or accessing forbidden ones, detailing virtual file system defaults, permission configuration syntax, ordering rules, and sub‑agent inheritance for secure code editing.

AI Code EditingDeep AgentsFilesystemPermission
0 likes · 10 min read
Day 4 Deep Agents: File System & Permission Boundaries for Safe AI Editing
Tech Ocean
Tech Ocean
May 2, 2026 · Artificial Intelligence

write_todos: A Guardrail, Not a To‑Do List, for Keeping Agents on Track

The article explains how the write_todos tool in Deep Agents serves as a process controller that breaks long tasks into observable steps, updates status in real time, and prevents agents from losing track, offering concrete guidelines, data structures, and best‑practice rules for effective task management.

AI task managementDeep Agentslong-running tasks
0 likes · 9 min read
write_todos: A Guardrail, Not a To‑Do List, for Keeping Agents on Track
AI Explorer
AI Explorer
Mar 18, 2026 · Artificial Intelligence

Unlock Instant AI Agents with LangGraph‑Powered Deep Agents

Deep Agents, an open‑source framework built on LangGraph, bundles planning, file‑system tools, sub‑agent coordination and context management into a ready‑to‑run AI agent that can be launched with three lines of Python code and fully customized for diverse applications.

AI AgentsAgent FrameworkDeep Agents
0 likes · 7 min read
Unlock Instant AI Agents with LangGraph‑Powered Deep Agents