#modular AI agents
420 related articles
·4 min
Deep Dive into DeepSeek Harness: Old Patterns, New Ecosystem
A deep analysis of DeepSeek Harness Agent framework from a software engineering perspective, comparing it with Claude Code and Pi, revealing its server-side Agent positioning and TypeScript ecosystem advantages.
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·1 min
DeployHermes: A Persistent AI Agent Platform That Lets You Manage AI Tools Like Employees
DeployHermes is a persistent AI agent platform with role, memory, skill configuration and private runtime deployment, integrating with Claude Code and Codex for multi-agent orchestration.
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·3 min
MiniMax H3 In-Depth Review: A Comprehensive Evaluation of the Open-Weight Audio-Driven Video Generation Model
In-depth review of MiniMax H3 open-weight video generation model covering anime, commercial ads, audio-driven video, R2V reference generation, and ComfyUI local deployment tutorial.
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·4 min
Implementing Reinforcement Learning from Scratch in Python: A Complete Guide from Beginner to Advanced
A complete guide to implementing reinforcement learning from scratch in Python, covering Q-Learning core logic, six practical improvement tips, and a progression path from tabular methods to DQN.
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·3 min
reinfors Adds CarRacing Environment: Rust Backend Delivers 20x Reinforcement Learning Speedup
Open-source reinfors v0.3.0 adds CarRacing with a Rust backend, achieving 20x faster stepping than Gymnasium. Features overlapping train/sample execution via collect_stream, compatible with PyTorch and JAX.
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·2 min
Turning Rain World into a Reinforcement Learning Environment: A Gymnasium + SB3 Implementation
A developer transformed the indie game Rain World into a Gymnasium-compliant RL environment compatible with Stable-Baselines3. This article covers the technical implementation and insights for RL learners.
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·3 min
Vibe Coding for Beginners: A Six-Step Guide to Building Complete Products with AI
A detailed six-step Vibe Coding guide covering AI tool selection, prompt writing, and hands-on projects to help beginners build real products with AI.
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·3 min
Multi-Agent Collaboration: The New Hard Requirement in AI Engineering Interviews
Deep analysis of how Multi-Agent collaboration and Skill mechanisms are becoming core evaluation criteria for AI engineering roles, covering architecture design, high-frequency interview questions, and practical advice.
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·3 min
DeepSeek Harness Hands-On Review: A Transparent AI Coding Framework Where Everything Is a Plugin
Hands-on review of DeepSeek Harness developer preview: its everything-is-a-plugin architecture, fully transparent tracing, Creator Mode for conversational plugin development, and flexible multi-model support.
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·5 min
Theo's Playbook: Using Markdown Instruction Files to Make AI Truly Understand Your Development Intent
Tech creator Theo shares how writing agents.md, CLAUDE.md, and custom Skills—combined with AI-audited failure patterns—systematically improves AI coding collaboration.
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·2 min
Draw.io Skill: An Open-Source Tool That Lets AI Agents Create Professional Architecture Diagrams
Draw.io Skill is an open-source skill extension for AI Agents, featuring 11 diagram presets, 36 tools, and 10,000+ official icons to generate editable professional Draw.io diagrams from natural language.
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·4 min
Deep Comparison of Four Open-Source AI Coding Agents: DeepSeek Harness vs. Prime Agent vs. Pi vs. OpenCode — Which One Should You Choose?
Deep comparison of four open-source AI coding agent frameworks: DeepSeek Harness, Prime Agent, Pi, and OpenCode — covering architecture, performance, security, and use cases.
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·3 min
Spring AI 2.0 in Practice: A Complete Guide to Building a Code Generation Agent from Scratch
Learn how Spring AI 2.0 natively supports Agent development. Build a code generation assistant by reverse-engineering Claude Code's architecture with Agent Utils, covering task planning, long-term memory, and Tools invocation.
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·4 min
Claude Code vs Codex: A Deep Comparison to Help You Choose the Right AI Coding Assistant
Deep comparison of Claude Code vs Codex: architecture differences, behavior patterns, and use cases. Based on SWE-RPG benchmark data, choose the right AI coding assistant for your team.
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·2 min
DeepSeek Open-Sources Harness Framework: AI Competition Shifts from Models to Agents and Infrastructure
DeepSeek open-sources Harness framework, gaining 50K GitHub stars in 12 hours; Claude tackles Riemann Hypothesis; OpenAI's wafer-scale chip boosts inference 14x. AI competition shifts to agents and infrastructure.
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·5 min
What Is DeepSeek Harness? Dissecting the 7 Core Modules of Agent Architecture
Deep analysis of DeepSeek Harness: not just a product, but an Agent architecture paradigm. Dissecting 7 core modules including tool calling, memory systems, and sandbox environments.
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·3 min
DeepSeek Harness Explained: An Agent Runtime Where Everything Is a Plugin
Deep dive into DeepSeek Harness (DSH): its Agent=Model+Harness formula, Cordis plugin system, four runtime modes, and Trajectory traceability for modular Agent development.
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·2 min
Anthropic Open-Sources Agent Skills: A New Era of Modular and Reusable AI Agent Capabilities
Anthropic open-sourced anthropics/skills on GitHub, offering standardized, pluggable AI Agent skill packages. With 160K+ stars, it enables modular agent capability reuse and lowers development barriers.
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·3 min
Meta Open-Sources 30B Model Muse Glimmer: A Practical Breakdown of Running a Local Agent on a Single GPU
Meta's Superintelligence Lab open-sources Muse Glimmer, a 30B multimodal Agent model using 4-bit quantization, hybrid attention, and D-Flash speculative decoding to run on a single consumer GPU like the RTX 4090.
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·4 min
How Theo Rewrote His AGENTS.md to Double AI Coding Efficiency
T3 founder Theo shares how rewriting AGENTS.md and Skills configs doubled his AI coding output, covering trigger design, contrastive examples, and behavioral auditing.
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