OpenCode Subagents: Workflows, Use Cases, and Superpowers
Learn how to design agentic workflows with OpenCode subagents. Discover how to combine cheap and frontier AI models to automate tasks like Superpowers.
Learn how to design agentic workflows with OpenCode subagents. Discover how to combine cheap and frontier AI models to automate tasks like Superpowers.
Learn how the Android Skills repository centralizes context so AI agents can build robust apps without legacy hallucinations.
Honest technical deep dive into the persistent memory stack I combine daily in my projects: opencode-supermemory for auto-compact, basic-memory as main memory with Markdown + graph, and forgetful as procedural skills layer. With real configuration examples for Claude Code, Codex,
Comparative technical analysis of three native OpenCode plugins to give your AI agent persistent local memory: simple-memory (logfmt), Mnemosyne (offline Go binary), and true-mem (cognitive psychology).
Discover how Loop Engineering is replacing traditional prompting. Learn to design autonomous systems for mobile development with Kotlin and Android, managing risks and optimizing resources.
Exhaustive technical comparison of three cross-platform MCP servers to give AI agents persistent memory: opencode-supermemory (cloud), basic-memory (Markdown + graph), and forgetful (atomic Zettelkasten). Works with Claude Code, Codex, Cursor and more.
CI/CD already automates builds and deploys, but we still spend hours on triage, CI failures, and stale documentation. GitHub Agentic Workflows pushes automation one step further: agents operating inside defined guardrails to handle that repetitive work with judgement.
Discover my OpenCode subagents workflow to automate complex tasks, build parallel pipelines, and solve problems without leaving the terminal context.
A comprehensive comparison between Hermes Agent and OpenClaw, two open source autonomous AI agent frameworks. Analysis based on verifiable public information from their official repositories and documentation.
OpenClaw for ready-to-use agents, Vercel AI SDK with Next.js for custom development, OpenAI and Claude models, MCPs for integrations, and Cursor/Claude Code for programming. Complete analysis with practical examples and cost considerations.
Discover how Paperclip AI revolutionizes business management with autonomous AI agents, heartbeats, budgets, and multi-team governance to operate organizations without human intervention.
LangGraph, CrewAI, n8n, AutoGen, Cursor, Claude Code, OpenAI Agents SDK — a community debate emerged about which of these will still exist in a year. Here's an honest breakdown.
Analysis of the 'Agents of Chaos' paper (arXiv:2602.20021): 7 critical vulnerabilities found in two weeks of red-teaming autonomous AI agents with persistent memory, email, and shell access.
A technical deep-dive into Hipocampus, a drop-in memory harness for AI agents that uses a 3-tier Hot/Warm/Cold architecture and a 5-level compaction tree. How ROOT.md enables constant-cost memory awareness and how it compares to hmem, Mem0, and Letta.
A technical deep-dive into hmem (Humanlike Memory), an MCP server that models human memory in five lazy-loaded levels backed by SQLite + FTS5. How Fibonacci decay, logarithmic aging, and a curator agent solve the context window problem across sessions and machines.
A deep dive into using the PARA method (Projects, Areas, Resources, Archives) as a cognitive scaffold for AI agent memory. How Markdown files, Obsidian, and Logseq via MCP create transparent, human-editable memory systems that actually persist.
A technical deep-dive into PlugMem, Microsoft Research's plugin memory system that transforms raw LLM agent interactions into reusable structured knowledge. How its three-component architecture (Structure, Retrieval, and Reasoning) outperforms task-specific memory designs.
How the First Principles Framework (FPF) and Quint Code enforce structured reasoning on AI agents. The Abduction–Deduction–Induction cycle applied to engineering decisions, auditable decision contracts, and why vibe-coded AI is not enough.
A deep analysis of the critical risks surrounding persistent memory in AI agents: memory poisoning, the right to be forgotten, homomorphic encryption, and the trends that will define 2026.
A deep dive into IDD, Lean SDD, BEADS Workflow, Agent OS, and the Dark Factory concept: emerging methodologies that challenge conventional development flows and raise the abstraction level in the age of autonomous AI.
A deep technical analysis of how AI agents persist, consolidate and retrieve information autonomously. From OpenClaw and QMD to Mem0, Cognee and neurobiological memory models.
Learn how to integrate specialized AI agents (code review, documentation, benchmarks) into your Android CI/CD pipeline using GitHub Actions and AGENTS.md.
How autonomous AI agents transform Android development: from multi-agent frameworks to pipelines that open PRs and run tests on their own.
How to inject dynamic context into AI agent prompts. Techniques for providing memory, skills, and tools on-the-fly.
Understanding the role of AI Agents in modern mobile development. From theoretical foundations to practical implementation strategies using LLMs.
A comprehensive deep dive into the de facto standards for orchestrating AI agents in production environments. We analyze architecture, features, and use cases.
Practical step-by-step guide to implementing an agent architecture in your Android project. Configure your own AI experts and define their rules.
Introducing the Agents.md standard. A file convention to context-load AI agents with project architecture, coding rules, and domain knowledge.
Autocomplete is a thing of the past. Discover how AI Agents like Cline and Cursor are redefining software development, allowing for multi-file editing and autonomous command execution.