Circuit

Terminal-Native Agentic Workflows

A circuit where the terminal becomes the primary workspace for agent orchestration, prioritizing scriptability and local execution over chat-based interfaces.

This circuit begins one level above the model runtime. It treats the terminal not as a display layer but as the primary execution environment. incur-terminal-agent-interface and trellis establish the unified CLI layer for orchestration. terminal-collaborative-workspace-ai-agents positions the shell as shared memory between human and machine. mgrep and pi-mono ground search and abstraction in local primitives. skills.sh and opencode-ai ensure modularity across providers. clawteam handles the orchestration logic for multi-agent teams. aitutor embeds literacy directly into the command stream. Simon Willison and Peter Steinberger model the legibility required for this infrastructure. The circuit resists the drift toward chat-based abstraction layers that hide execution. It avoids fragmentation where each agent maintains its own isolated interface. The circuit is complete when the terminal becomes the standard interface for agent logic rather than an option.

Connections

  • Incur Terminal Agent Interface - establishes terminal-native interface for constructing and controlling AI agent workflows (Current · en)
  • Trellis - enables unified orchestration of multiple AI coding assistants through a single CLI interface (Current · en)
  • Terminal Collaborative Workspace for AI Agents - enables multiple AI agents to operate within a shared command context (Current · en)
  • AITutor - integrates large language model inference to provide real-time explanations within terminal sessions (Current · en)
  • ClawTeam - deploys and manages multi-agent workflows through a unified command-line interface (Current · en)
  • mgrep - enables semantic search across heterogeneous file types using local embedding models (Current · en)
  • pi-mono - provides a full AI agent toolkit with multi-provider LLM abstraction and coding agent CLI (Current · en)
  • skills.sh - structures AI-agent behavior as modular, explicit, and reusable operational units (Current · en)
  • OpenCode.ai - packages coding-agent workflows as an open-source, provider-flexible runtime across terminal surfaces (Current · en)
  • Simon Willison - models rigorous, documented, and composable open-source practice at the intersection of data tooling (Practitioner · en)
  • Peter Steinberger - links open implementation, local agency, and AI-native software practice (Practitioner · en)

Linked from

Mediation note

Tooling: OpenRouter / qwen/qwen3.5-flash-02-23

Use: identified pattern across existing Currents, drafted Circuit synthesis from knowledge base

Human role: review, edit, and approve before publication

Limits: synthesis is a starting point; human judgment required on pattern boundaries and claims