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Live intelligence/August 26, 2026
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01 / BUILD AI Workflows Blueprints for moving from idea to automation. Explore ↗ 02 / CONNECT MCP Directory Tools and server guides for capable agents. Browse ↗ 03 / KNOW AI News What changed, why it matters, and what to do next. Catch up ↗
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Deep Dive AI Workflows

Build a Cross-Device Agentic-Commerce Workflow with LangGraph

On August 17-18, 2026 Alipay unveiled China's first full-stack agentic-commerce platform, letting merchants convert pages and service workflows into agent-ready Skills and MCP tools consumed through Ah Bao (10,000+ AI services, 5 smartphone brands, 16 automakers) over the AHA protocol suite and ACT 2.0 trust protocol. This dispatch builds commerce-orch, a LangGraph workflow that takes consumer intent, discovers Skills, performs a cross-provider A2A-style handshake, gates everything behind a spend-ceiling trust layer, executes payment and fulfillment, and appends every decision to a hash-chained audit ledger.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Workflows

Build a Multi-Agent Team-Memory Workflow with LangGraph

Tencent Cloud's TencentDB Agent Memory crossed 20,000 GitHub stars in 90 days (August 13, 2026) and shipped Team Memory, extending long-term agent memory from a single user to a whole team - conversations, documents, code, and institutional knowledge shared across agents. This dispatch builds team-mem, a LangGraph workflow with a memory-writer that extracts durable facts into a vector + knowledge-graph + KV pool, a memory-reader that fuses vector similarity, entity linkage, and recency behind per-team namespaces and ACLs, and a conflict-resolution node that supersedes contradictions.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Workflows

Build a Company-Wide Multi-Agent Harness with LangGraph

Y Combinator open-sourced QM (MIT license, GitHub org yc-software) as a multiplayer multi-agent harness built for a whole company rather than a single user - it runs YC's own accounting, legal, events, and engineering work, including developing QM itself. Cloud-first with native Slack and web interfaces and model-agnostic across Pi, OpenCode, Codex, and Claude Code. This dispatch builds company-harness, a LangGraph workflow with a task intake router, a role router dispatching to role-appropriate agents on swappable model backends, an approval board for cross-role decisions, unified observability and audit, and a self-improvement loop that files tasks back into the queue.

Deepak Bagada Deepak Bagada
11m read
Deep Dive Coding

Cloudflare Kitesurf: A Browser Runtime Built for AI Agents

In the week of August 19, 2026, Cloudflare launched Kitesurf, a browser runtime built for AI agents on the Workers platform, claiming roughly 3-7x less CPU and memory than Chromium while passing more than 235,000 web platform tests. We compare it to headless Chromium and Playwright, price the memory tax on agent farms, and show the Worker API shape for agent loops.

Deepak Bagada Deepak Bagada
9m read
Deep Dive Coding

TencentDB Agent Memory: 20K Stars in 90 Days & the Memory Wars

Tencent Cloud's TencentDB Agent Memory has passed 20,000 GitHub stars within 90 days of open-sourcing, as of August 13, 2026, and the same release adds Team Memory so shared agents can share conversations, documents, code, and institutional knowledge. We map the agent memory stack, the hybrid vector-plus-KV-plus-graph retrieval design, the governance risks of shared memory, and the token economics.

Deepak Bagada Deepak Bagada
10m read
Deep Dive Coding

YC's QM Harness: A Multi-Agent Orchestrator for Whole Companies

Y Combinator open-sourced QM, an MIT-licensed multi-agent harness for running a whole company, and runs its own accounting, legal, events, and engineering work on it. It is cloud-first with native Slack and web interfaces, and model-agnostic across Pi, OpenCode, Codex, and Claude Code. We compare it to single-user coding agents and enterprise platforms, map the intake-router-approval-observability architecture, and price the four-department ROI.

Deepak Bagada Deepak Bagada
9m read
Deep Dive AI Tools

Build an Agentic-Commerce MCP Server for Payments & Fulfillment

On Aug 17-18 2026 Alipay unveiled China's first full-stack agentic commerce platform: merchants convert pages, products, and service workflows into agent-ready Skills and MCP tools, unified over AI payment, KYA trusted identity, risk management, and service fulfillment — with AHA for cross-agent/cross-device interoperability and ACT 2.0 for delegation, audit trails, intent verification, and payment channels. Ah Bao (Alipay's consumer agent, June 2026) already spans 10,000+ services across 5 smartphone brands (70%+ market) and 16 automakers. This dispatch builds agentic-commerce-mcp, a FastMCP Python server exposing eight governed tools — create_payment_intent, confirm_payment, issue_refund, verify_identity, create_order, check_fulfillment_status, get_merchant_skill, list_skills — with a spend-ceiling guard, a human-approval gate on irreversible actions, inputSchema, mcpServers config, and OAuth 2.0 signed/idempotent security.

Deepak Bagada Deepak Bagada
10m read
Deep Dive AI Tools

Build a Lightweight Browser-Runtime MCP Server for Agents

Cloudflare shipped Kitesurf (week of Aug 19 2026), a browser runtime built for AI agents that runs on Cloudflare Workers using roughly 3-7x less CPU and memory than Chromium while passing more than 235,000 web platform tests — a lightweight alternative to full headless Chromium for agent web automation. This dispatch builds browser-runtime-mcp, a FastMCP Python server exposing ten governed tools — open_page, get_text, click, type_text, screenshot, wait_for, fill_form, extract_table, session_state, close_page — where every call returns a compact accessibility-tree view instead of raw HTML to save tokens, with a concurrency/rate-limit guard, privacy mode (trackers/ads blocked by default), and a per-agent session sandbox.

Deepak Bagada Deepak Bagada
10m read
Deep Dive LLMs

Alipay's Agentic Commerce: Ah Bao, AHA Protocol & the Agent Shelf

On August 17-18, 2026, Alipay unveiled China's first full-stack agentic commerce platform in Hangzhou, letting merchants with no AI convert pages and workflows into agent-ready Skills and MCP tools. It connects to Ah Bao, the consumer agent with 10,000+ services across eight categories, and ships a full protocol suite (AHA plus ACT 2.0) for audited, intent-verified agent transactions. We break down the stack, the protocol comparison, the merchant ROI math, and a sample skill manifest.

Deepak Bagada Deepak Bagada
10m read
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