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Agent Runtime

33 articles · Page 1 of 1
Architect
Architect
Sep 11, 2026 · Artificial Intelligence

DeepSeek Harness Runtime Architecture: Separating Capabilities from Facts via Cordis, Agent Loop & Session

This article analyzes DeepSeek Harness v0.1.2-alpha.2's runtime architecture, explaining how it separates current capabilities (Cordis) from committed facts (Session) with the Agent Loop mediating between them, detailing plugin assembly, turn/step lifecycle, tool execution pipeline, session event logs, and dynamic capability replacement.

Agent LoopAgent RuntimeCapability Seams
0 likes · 26 min read
DeepSeek Harness Runtime Architecture: Separating Capabilities from Facts via Cordis, Agent Loop & Session
TonyBai
TonyBai
Sep 9, 2026 · Artificial Intelligence

YC Debunks 'Model-Only' Myth: Harness, Not Model, Sets Agent Ceiling

YC Paper Club reveals how the same Claude Opus model scores 30% on ARC-AGI bare but reaches 95% with proper Harness, and NVIDIA's AVO hits 100%, proving agent runtime—not model weights—determines the performance ceiling.

ARC-AGIAgent RuntimeContinual Harness
0 likes · 20 min read
YC Debunks 'Model-Only' Myth: Harness, Not Model, Sets Agent Ceiling
Architect
Architect
Sep 8, 2026 · Artificial Intelligence

Pi's Minimalist Agent Harness: Trading Features for Runtime Control

This article analyzes Pi's minimalist agent harness architecture, contrasting its four-tool core with Claude Code, Codex, and DSH, detailing its session tree, dual-loop execution, context compaction, and the trade-offs of pushing workflows to extensions for greater runtime controllability.

AI architectureAgent HarnessAgent Loop
0 likes · 22 min read
Pi's Minimalist Agent Harness: Trading Features for Runtime Control
Architect
Architect
Sep 4, 2026 · Artificial Intelligence

What Is a Harness? Why the Same Model Behaves Differently Across Coding Agents

The article explains why swapping the Harness — the runtime environment around an AI model — changes agent behavior even when the model weights stay identical, covering system prompts, tool definitions, agentic loops, translation layers, execution boundaries, feedback fidelity, context compression vs. immutable event logs, and architectural trade-offs illustrated by Pi, Codex, DSH, and the claudex experiment.

AI agentsAgent RuntimeAgentic Loop
0 likes · 19 min read
What Is a Harness? Why the Same Model Behaves Differently Across Coding Agents
Architect
Architect
Sep 2, 2026 · Artificial Intelligence

DeepSeek Harness: How 99% Cache Hits Validate Request Prefix Stability

This article analyzes how DeepSeek Harness achieves 99% prompt cache hit rates by enforcing deterministic request assembly, showing that cache hit rates serve as a diagnostic tool for runtime stability rather than just a cost metric.

Agent RuntimeCache Hit RateDeepSeek Harness
0 likes · 25 min read
DeepSeek Harness: How 99% Cache Hits Validate Request Prefix Stability
Architect
Architect
Aug 31, 2026 · Backend Development

How DeepSeek Harness Redesigns the Agent Runtime: Managing Capabilities, Clean Shutdowns, and Task Recovery

DeepSeek Harness (DSH) re‑architects the agent runtime by separating capability loading, clean exit handling, and task recovery into distinct boundaries, introducing Profile‑Preset configuration, a live Cordis runtime graph, a unified tool pipeline, session event logs, and dynamic Cordis for on‑the‑fly capability changes.

Agent RuntimeCordisDeepSeek Harness
0 likes · 27 min read
How DeepSeek Harness Redesigns the Agent Runtime: Managing Capabilities, Clean Shutdowns, and Task Recovery
Big Data and Microservices
Big Data and Microservices
Aug 25, 2026 · Artificial Intelligence

From Tool Loops to Agent Runtimes: How AI Agent Architecture Is Evolving

The article traces the shift from simple ReAct loops that embed tool calls within a single model iteration to modern Agent Runtime systems that add persistent state, sandboxed execution, failure recovery, and human approval layers, comparing the capabilities introduced by OpenAI, LangGraph, Microsoft, AWS, and Anthropic platforms.

AI agentsAgent RuntimeLong-Running Tasks
0 likes · 13 min read
From Tool Loops to Agent Runtimes: How AI Agent Architecture Is Evolving
Top Architecture Tech Stack
Top Architecture Tech Stack
Aug 19, 2026 · Industry Insights

DeepSeek Harness Aims to Challenge VS Code: Rethinking the IDE Paradigm

While most AI‑enhanced IDEs still extend VS Code’s editor‑centric model, DeepSeek Harness starts from an Agent runtime, treating everything as a plugin and positioning the development tool’s core around an Agent Host, raising questions about whether the editor will remain the central hub.

AI programmingAgent RuntimeDeepSeek Harness
0 likes · 15 min read
DeepSeek Harness Aims to Challenge VS Code: Rethinking the IDE Paradigm
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Aug 19, 2026 · Artificial Intelligence

DeepSeek Harness: An Open‑Source, Plugin‑First Agent Runtime Explained

DeepSeek Harness, released on August 13 under the MIT license, is an open‑source, plugin‑centric agent runtime that offers four operation modes, builds on the Cordis/Koshi framework, provides full model‑agnostic support, and includes detailed logging for reproducible AI workflows, while noting current limitations.

AI agentsAgent RuntimeDeepSeek Harness
0 likes · 5 min read
DeepSeek Harness: An Open‑Source, Plugin‑First Agent Runtime Explained
Frontend AI Walk
Frontend AI Walk
Aug 18, 2026 · Artificial Intelligence

Don't Migrate Your Proven AI Workflow to DeepSeek Harness Yet

The author argues that migrating a validated AI frontend development workflow from Cursor, Claude Code, or Codex to the new DeepSeek Harness is unnecessary because Harness only changes the agent runtime, not the methodology that ensures reliable delivery, and migration costs outweigh benefits given Harness's preview status.

AI agent workflowAgent RuntimeClaude Code
0 likes · 24 min read
Don't Migrate Your Proven AI Workflow to DeepSeek Harness Yet
Architect
Architect
Aug 14, 2026 · Artificial Intelligence

DSH (DeepSeek Harness) Architecture Deep Dive: A Composable Agent Runtime

This article dissects DeepSeek Harness (DSH), showing how its plugin‑based runtime graph and event‑stream architecture let agents dynamically compose capabilities, manage lifecycles, and recover from interruptions, while comparing its design to the Pi coding agent and outlining practical presets and configuration steps.

AI AgentAgent RuntimeCordis
0 likes · 32 min read
DSH (DeepSeek Harness) Architecture Deep Dive: A Composable Agent Runtime
AI Insight Log
AI Insight Log
Aug 13, 2026 · Artificial Intelligence

DeepSeek Harness Open‑Source: Inside the V4 Pro Agent Platform

DeepSeek has released the V4 Pro model and, hours later, open‑sourced the DeepSeek Harness runtime, a plugin‑based agent framework that connects models to files, terminals, tools, and workflows, offering extensible architecture, risk controls, and a Python SDK while still in developer preview.

AI agentsAgent RuntimeDeepSeek
0 likes · 8 min read
DeepSeek Harness Open‑Source: Inside the V4 Pro Agent Platform
DataFunTalk
DataFunTalk
Aug 12, 2026 · Artificial Intelligence

Why Real‑Time Agents Need Multiple Loops: Google’s AMIE Splits Talk, Think, See

Real‑time agents face a three‑way conflict among low‑latency interaction, deep reasoning, and continuous perception, making a single‑loop design a bottleneck; Google’s AMIE solves this by decomposing the system into three asynchronous agents—Talker, Planner, and Perception—demonstrating dramatic latency reduction and higher task scores, and revealing a broader architectural shift toward time‑scale‑aware agent runtimes.

Agent RuntimeGoogle AMIEasynchronous orchestration
0 likes · 12 min read
Why Real‑Time Agents Need Multiple Loops: Google’s AMIE Splits Talk, Think, See
DataFunSummit
DataFunSummit
Jul 25, 2026 · Cloud Native

Evolution of Agent Infrastructure: Engineering Insights from Tencent Cloud Agent Runtime

The article analyzes how agents transition from demo to production, revealing that beyond model capabilities, stability, elasticity, security, and governance become critical, and explains the engineering challenges and solutions—including session management, state persistence, scheduling mismatches, sandbox isolation, and open‑source strategies—that underpin Tencent Cloud's Agent Runtime.

Agent RuntimeCloud NativeKubernetes
0 likes · 26 min read
Evolution of Agent Infrastructure: Engineering Insights from Tencent Cloud Agent Runtime
inShocking
inShocking
Jul 15, 2026 · Artificial Intelligence

Understanding Function Calling: How AI Agents Safely Execute Tools

This article explains why AI agents need function calling, describes the structured tool‑call protocol between LLMs and runtimes, shows how to define and secure function tools, and provides best‑practice code and checklists for production deployments.

Agent RuntimeFunction CallingLLM
0 likes · 21 min read
Understanding Function Calling: How AI Agents Safely Execute Tools
KooFE Frontend Team
KooFE Frontend Team
Jul 13, 2026 · Artificial Intelligence

From Prompt to Context to Harness: The Evolution of AI Agent Engineering

This article surveys the progression of AI agent engineering—from early prompt engineering focused on crafting input text, through context engineering that manages information flow, to harness engineering which builds reliable, secure agent systems—detailing definitions, techniques, limitations, and the four core modules needed for robust agents.

AI AgentAgent RuntimeHarness Engineering
0 likes · 8 min read
From Prompt to Context to Harness: The Evolution of AI Agent Engineering
Machine Heart
Machine Heart
Jul 3, 2026 · Artificial Intelligence

How an AI Agent Turned a Live Stream into a Real‑Time Interactive Show for 935,000 Viewers

A two‑hour Douyin live broadcast demonstrated an AI‑driven interactive game where the AI acted as scriptwriter, host and scheduler, handling multimodal inputs, real‑time state management and fault‑tolerant runtime, achieving 935k total exposures and 29k peak concurrent viewers while redefining live‑stream participation.

AI AgentAgent RuntimeComplexity Engineering
0 likes · 17 min read
How an AI Agent Turned a Live Stream into a Real‑Time Interactive Show for 935,000 Viewers
Programmer DD
Programmer DD
Jun 25, 2026 · Cloud Native

Why Agents Need a Full Engineering Platform Beyond the Demo

The article analyses how EdgeOne Makers provides a comprehensive engineering foundation—including managed runtime, sandbox tools, conversation storage, observability, model integration, authentication, and Git‑based deployment—to turn AI Agent demos into production‑ready services, and compares it with alternative approaches.

Agent RuntimeEdgeOne MakersGit deployment
0 likes · 16 min read
Why Agents Need a Full Engineering Platform Beyond the Demo
Programmer DD
Programmer DD
Jun 17, 2026 · Industry Insights

SpaceX’s $60 B AI Coding Deal Highlights Shift to Persistent Agents and Quality Gates

The article analyzes how SpaceX's $60 billion acquisition of Cursor signals a major consolidation of AI coding platforms while Vercel, Docker, JetBrains, OpenAI, Anthropic, and Alibaba introduce agent runtimes, sandboxing, quality checks, and multimodal capabilities, indicating a broader industry move toward production‑ready AI agents and tighter integration with cloud infrastructure.

AI codingAgent RuntimeAnthropic Opus
0 likes · 12 min read
SpaceX’s $60 B AI Coding Deal Highlights Shift to Persistent Agents and Quality Gates
Architect
Architect
Jun 14, 2026 · Artificial Intelligence

Fable 5 Signals: How Agents Are Assembling Their Runtime

The sudden pause of Claude Fable 5 reveals a detailed system prompt that exposes the multi‑layer Agent Runtime – from model capability and tool routing to state management, verification, and governance – prompting engineers to design explicit runtime contracts for long‑task agents.

Agent RuntimeClaude Fable 5Governance
0 likes · 27 min read
Fable 5 Signals: How Agents Are Assembling Their Runtime
Tencent Tech
Tencent Tech
Jun 3, 2026 · Cloud Computing

How Cloud Architecture Must Evolve When Software Producers Shift from Humans to AI Agents

The article analyses how Vibe Coding platforms let ordinary users create full‑stack applications with natural language, exposing challenges such as agent runtime, sandbox isolation, multi‑tenant resource boundaries and cost efficiency, and shows how Tencent CloudBase redesigns cloud services to address these issues, achieving up to 3.8× faster provisioning and 52% token savings.

AI agentsAI-nativeAgent Runtime
0 likes · 23 min read
How Cloud Architecture Must Evolve When Software Producers Shift from Humans to AI Agents
Architect
Architect
May 28, 2026 · R&D Management

Turning AI Prompts into Process Assets: 25 Skills Every Team Should Adopt

The article examines a curated list of 25 AI‑driven Skills, showing how they can be transformed from simple prompt templates into repeatable, governed workflow assets that boost team productivity, preserve institutional knowledge, and enable scalable process automation across learning, documentation, and decision‑making tasks.

AI workflowAgent RuntimeGovernance
0 likes · 32 min read
Turning AI Prompts into Process Assets: 25 Skills Every Team Should Adopt
AI Code to Success
AI Code to Success
Apr 13, 2026 · Industry Insights

Why Anthropic’s Managed Agents Redefine AI Agent Runtime

Anthropic’s Managed Agents transform the cumbersome agent runtime into a modular, production‑ready infrastructure by decoupling the brain, hands, and session layers, improving reliability, security, and performance while offering developers a clear path to build long‑running AI workflows.

AI agentsAgent RuntimeAnthropic
0 likes · 10 min read
Why Anthropic’s Managed Agents Redefine AI Agent Runtime
Architect
Architect
Apr 1, 2026 · Artificial Intelligence

Inside Claude Code: How Anthropic Built a Secure, Scalable Local Agent Runtime

This article dissects Claude Code’s open‑source repository, revealing how its startup sequence, context assembly, main loop, tool contracts, permission pipeline, and long‑task handling are engineered layer by layer to create a performant, secure local AI agent runtime.

AI architectureAgent RuntimeClaude Code
0 likes · 24 min read
Inside Claude Code: How Anthropic Built a Secure, Scalable Local Agent Runtime
macrozheng
macrozheng
Mar 30, 2026 · Operations

How OpenClaw Turns a Single Message into a Full Agent Execution Pipeline

This article walks through every step of OpenClaw's processing chain—from protocol adaptation and de‑duplication, through routing, session‑key generation, lane management, context assembly, skill injection, memory handling, and multi‑agent collaboration—showing how a plain user message becomes a fully governed, executable task.

Agent RuntimeContext ManagementMessage Routing
0 likes · 28 min read
How OpenClaw Turns a Single Message into a Full Agent Execution Pipeline
AI Waka
AI Waka
Mar 25, 2026 · Artificial Intelligence

How OpenClaw Turns Your Machine into an Autonomous AI Agent Runtime

OpenClaw is an open‑source, OS‑level autonomous agent runtime that combines dynamic system prompts, powerful tool access, file‑based memory, and sub‑agent generation, offering a secure, extensible architecture that runs on a single Node.js process and integrates with any LLM provider.

Agent RuntimeLLM IntegrationMemory Management
0 likes · 19 min read
How OpenClaw Turns Your Machine into an Autonomous AI Agent Runtime
Shuge Unlimited
Shuge Unlimited
Mar 20, 2026 · Artificial Intelligence

How a Single Gateway Manages 30+ Messaging Platforms in OpenClaw

This article dissects OpenClaw’s low‑level architecture, showing how a long‑lived Gateway process coordinates over 30 messaging platforms, how the pi‑mono embedded agent runtime drives the thinking cycle, and how the Context Engine and Session Management ensure consistent state, persistence, and extensibility.

AI assistantAgent RuntimeContext Engine
0 likes · 17 min read
How a Single Gateway Manages 30+ Messaging Platforms in OpenClaw
PaperAgent
PaperAgent
Mar 5, 2026 · Artificial Intelligence

Bridging Agent Runtime and RL: Inside the Claw‑R1 Training Framework

Claw‑R1, a new reinforcement‑learning framework from the USTC Cognitive Intelligence Lab, integrates the OpenClaw Agent Runtime with RL training to enable agents to learn directly in real environments, addressing the gap between simulated tasks and true tool‑calling, multi‑step reasoning, and stable long‑task execution.

AI InfrastructureAgent RuntimeClaw-R1
0 likes · 10 min read
Bridging Agent Runtime and RL: Inside the Claw‑R1 Training Framework
Shi's AI Notebook
Shi's AI Notebook
Mar 2, 2026 · Artificial Intelligence

Why OpenClaw’s Hype Marks a Shift to Agent Runtime Paradigms

OpenClaw is not just another AI chatbot; it redefines the focus from answering questions to executing sustainable, governable workflows across multiple channels, prompting a broader industry move from model‑centric to execution‑centric agent systems.

AI agentsAgent RuntimeOpenClaw
0 likes · 13 min read
Why OpenClaw’s Hype Marks a Shift to Agent Runtime Paradigms
Architect
Architect
Jan 26, 2026 · Artificial Intelligence

Why Clawdbot Is the Next‑Gen Personal AI Agent and How to Secure It

Clawdbot is an open‑source personal AI assistant that runs on your own machine and can be controlled via chat apps, offering email handling, automation, and code generation while requiring careful security design to prevent dangerous actions and data loss.

AI assistantAgent RuntimeClawdbot
0 likes · 11 min read
Why Clawdbot Is the Next‑Gen Personal AI Agent and How to Secure It