14 articles found
Honest comparison of DeepSeek Harness (dsh), OpenCode, Codex CLI and Claude Code. Philosophy, plugin model, sandbox, ecosystem and who wins each in 2026.
OpenChamber in depth: the 6 features of v0.7 (Session Goals, Multi-run with Fusion, Changes Walkthrough, Preview, issue-to-PR, cron), the supervision architecture around the OpenCode SDK, and the context of Bohdan Triapitsyn building the missing cockpit in the ecosystem.
Paseo in depth: daemon+relay architecture in Elixir, 35+ providers via ACP, TypeScript SDK, three skills (Handoff, Advisor, Committee), and RFC #1042 explaining why it migrated to the Agent Client Protocol. A case study of solo open source done right.
Four visual frontends for coding agents tested on desktop and mobile. Paseo as multi-provider orchestrator, OpenChamber as full cockpit, CodeNomad as premium IDE, opencode-mobile as native Android. Primary data from repos and HN.
A curated map of the OpenCode ecosystem in 2026: 10 persistent-memory plugins no blog has shown you, 4 real Hacker News critiques, and the indie community's defensive response.
Four visual clients for OpenCode put through real work on desktop and mobile. We compare install, day-to-day feel, remote access setup, and the parts each one still falls short on, with primary data from their own repos.
Route each subagent to the right model: explore to 9B, planner to 122B. Brick, OpenCode-subagent-router, and a DIY hook compared with real cost math.
The Grand Final of the 2026 Desktop AI tournament. Comparing Codex App, Antigravity, OpenCode Desktop, and Hermes Desktop across a 10-task benchmark.
We compare 10 AI CLI tools in 2026: Claude Code, Cline, Vibe, Kimi, Pi, and more. Detailed specs, actual API costs, skill compliance, and final verdict.
The Grand Final of the AI CLI 2026 tournament. We compare OpenCode, OpenAI Codex, Claude Code, and Hermes Agent to find the ultimate champion for indie developers.
Learn how to design agentic workflows with OpenCode subagents. Discover how to combine cheap and frontier AI models to automate tasks like Superpowers.
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 my OpenCode subagents workflow to automate complex tasks, build parallel pipelines, and solve problems without leaving the terminal context.
