Continuous coverage of model releases, agentic tools, AI compute infrastructure, and SaaS industry shifts.
An n8n multi-agent content pipeline uses the Call n8n Workflow pattern to orchestrate specialist sub-agents in sequence. A Supervisor receives a brief, decomposes it into research, outline, writing, and SEO optimization...
Deepak Bagada
Pi Taskflow is a zero-dependency Pi extension for declarative multi-phase DAG workflow orchestration with dynamic fan-out and cross-session resumable runs. It ships 18 built-in agents across 6 model roles with a JSON DSL...
Deepak Bagada
An n8n multi-agent RAG with dynamic source routing uses a Router agent that evaluates each incoming query to determine the optimal retrieval strategy from five sources. The Router analyzes intent, compares available sour...
Deepak Bagada
A Hermes Kanban multi-agent swarm is a durable SQLite-backed task board where multiple Hermes agent profiles collaborate on work items simultaneously. Each task is a database row with status, assignee, and priority field...
Deepak Bagada
Hermes concurrent GPU workers run parallel agent workloads on GPU hardware using multi-profile architecture for maximum throughput. Each worker is a full OS process with dedicated GPU memory and CUDA context isolation. A...
Deepak Bagada
Codex CLI native subagents for CSV batch processing let you write a JavaScript orchestration script that fans work across 50 or more subagents in parallel. The orchestrator reads the CSV file, partitions rows into equal...
Deepak Bagada
Claude Code Agent Teams enable a sequential pipeline where agent teams run in sequence each focused on a specific review dimension. The orchestrator evaluates findings at each handoff and decides to block the PR, issue a...
Deepak Bagada
A Hermes Super Agent A2A fleet combines multi-profile architecture with A2A protocol and Temporal durable workflows for enterprise-grade reliability. A Super Agent manages 20 or more agents via A2A protocol for dynamic d...
Deepak Bagada
Pi Crew adaptive multi-agent teams with worktree isolation orchestrates autonomous Pi workflows with durable disk-persisted state and parallel execution across isolated environments. A planner agent determines optimal su...
Deepak Bagada
A Codex CLI MCP multi-agent pipeline exposes Codex CLI as an MCP server orchestrated with the OpenAI Agents SDK. A Project Manager decomposes your goal into requirements and test documents then enforces gated handoffs ac...
Deepak Bagada
Claude Code dynamic workflows for security audits let you run codebase-wide security reviews by having Claude write a JavaScript orchestration script that fans work across 16 concurrent subagents. Each subagent gets a fo...
Deepak Bagada
Pi Flows YAML DAG multi-agent orchestration is a Pi Coding Agent extension defining reusable YAML DAG workflow templates where each step connects to an isolated agent session with scoped tools. A Flow Architect agent ana...
Deepak Bagada
To build a multi-agent lead generation system in 2026, integrate CrewAI for agentic orchestration and Firecrawl for deep-web data extraction. This setup enables autonomous agents to research prospects, score leads agains...
Deepak Bagada
The n8n GPT-4o Vision Scraper is a data and analytics workflow that uses the GPT-4o Vision model and Firecrawl to automate resilient web scraping. It saves organizations over 200 hours monthly by replacing fragile CSS se...
Deepak Bagada
Microsoft Copilot persistent memory, configured with Mem0 as the external context layer, allows AI agents to retain task priorities and project history for over 12 months. Teams using this setup report cutting daily coor...
Deepak Bagada
