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Building AI-powered products with 10+ years of full-stack expertise. Core developer at Creatify.ai, open-source contributor (ArkID, 1.3k+ stars).

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2026.08.25AI

One Brain for Three AI Agents: Building a Shared Knowledge Layer with TencentDB Agent Memory

Hermes, Claude Code, and Codex each kept their own memory — switching agents meant re-explaining everything. One self-hosted memory hub turned conversations, skills, docs, and code into three shared, searchable assets. This is a full build log from a single morning (2026-08-25), including a glm-4-flash vs glm-5.3 extraction quality comparison, three real pitfalls, and their fixes.

2026.08.23AI

Auditing Agents With an Agent: Reading Tencent's AI-Infra-Guard Source

Reading all 6,397 files of Tencent/AI-Infra-Guard: beyond 2,014 deterministic CVE rules, four of its five scan surfaces are LLM agents — regex supplies evidence, the model delivers the verdict. Its own 14,560-run injection study is worth more than the tool: loading a skill is 3.9x riskier than reading a document, and hidden-Unicode attacks score 0.0% as plain text but 25.5% through real files.

2026.08.23AI

deer-flow PR #4833 Source Deep-Dive: Durable Task Notifications That Never Get Lost, Duplicated, or Noisy

Dissecting the 4,293-line diff merged into deer-flow on 2026-08-22: notifications live in the database as a row-level outbox, two version numbers decide what's undelivered, delivery itself is an idempotent Agent run, and five bounded retries end in a dead letter — a reliability design you can lift into any minutes-scale workflow system.

2026.08.22AI

The Big-Tech Open Agent Harness Showdown: Codex, DeepSeek dsh, Grok Build and What They're Really Playing For

In August 2026, DeepSeek's Harness hit 181k GitHub stars in 9 days; days later OpenAI open-sourced the Codex agent loop alongside app-server and the SDK and repositioned it as a platform layer. This piece tears down all five open harnesses and their bets: harness engineering alone lifted ARC-AGI-3 from 13.3% to 38.3%, and the new lock-in layer is quietly moving from models to plugin ecosystems.