Shareai Lab Agents

rams, source viewer, and documentation. cd web && npm install && npm run dev # http://localhost:3000 Learning Path Phase 1: THE LOOP Phase 2: PLANNING & KNOWLEDGE ================== ============================== s01...

tream for teaching. Rule-based permission governance and trust workflows Session lifecycle controls (resume/fork) and advanced worktree lifecycle controls Full MCP runtime details (transport/OAuth/resource subscribe/p...

ol docs Manufacturing agent = model + production line sensors + quality controls + logistics Education agent = model + curriculum knowledge + student progress + assessment tools The loop is always the same. The tools...

ecifically? Because Claude Code is the most elegant and fully-realized agent harness we have seen. Not because of any single clever trick, but because of what it doesn't do: it doesn't try to be the agent. It doesn't...

n any domain. The lesson is not "copy Claude Code." The lesson is: the best agent products are built by engineers who understand that their job is harness, not intelligence. The Vision: Fill the Universe with Real Age...

vernance That's it. That's the entire architecture. Every component is a harness mechanism -- a piece of the world built for the agent to inhabit. The agent itself? It's Claude. A model. Trained by Anthropic on the fu...

niverse needs. THE AGENT PATTERN ================= User --> messages[] --> LLM --> response | stop_reason == "tool_use"? / \ yes no | | execute tools return text append results loop back -----------------> messages[]...

content : if block . type == "tool_use" : output = TOOL_HANDLERS [ block . name ]( ** block . input ) results . append ({ "type" : "tool_result" , "tool_use_id" : block . id , "content" : output , }) messages . append...

blank. That is the Claude Code model. OpenClaw proved another possibility: on top of the same agent core, two harness mechanisms turn the agent from "poke it to make it move" into "it wakes up every 30 seconds to look...

t CLI -- Open-Source Coding Agent CLI npm i -g @shareai-lab/kode Skill & LSP support, Windows-ready, pluggable with GLM / MiniMax / DeepSeek and other open models. Install and go. GitHub: shareAI-lab/Kode-cli Kode Age...

ions on completion s09 "When the task is too big for one, delegate to teammates" — persistent teammates + async mailboxes s10 "Teammates need shared communication rules" — one request-response pattern drives all negot...

ys the same; new tools register into the dispatch map s03 "An agent without a plan drifts" — list the steps first, then execute; completion doubles s04 "Break big tasks down; each subtask gets a clean context" — subag...

ous Agents [14] idle cycle + auto-claim | s12 Worktree Isolation [16] task coordination + optional isolated execution lanes [N] = number of tools Architecture learn-claude-code/ | |-- agents/ # Python reference implem...

n; each subtask gets a clean context s05 Skills Load knowledge when you need it, not upfront s06 Context Compact Context will fill up; you need a way to make room s07 Tasks Break big goals into small tasks, order them...

ms from scratch: claw agent = agent core + heartbeat + cron + IM chat + memory + soul learn-claude-code claw0 (agent harness core: (proactive always-on harness: loop, tools, planning, heartbeat, cron, IM channels, tea...