Tocket CLI: A Context Engineering Framework for AI Coding Agents

✍️ OpenClawRadar📅 Published: February 25, 2026🔗 Source
Tocket CLI: A Context Engineering Framework for AI Coding Agents
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What Tocket Does

Tocket is a CLI tool that addresses context loss when switching between AI coding agents like Cursor and Claude. Instead of relying on massive .cursorrules files or single prompt.txt files that become unmanageable as projects grow, Tocket creates a structured "Memory Bank" within your repository.

How It Works

The tool scaffolds a .context/ folder containing several markdown files that any AI agent can read and write to:

  • activeContext.md - Tracks what's being worked on right now
  • systemPatterns.md - Contains architecture rules
  • techContext.md - Documents the tech stack (Tocket auto-detects this from your package.json)
  • progress.md - Tracks milestones
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Getting Started

To try Tocket with zero configuration for Cursor/Claude users:

npx @pedrocivita/tocket init

Run this command in your project root. The tool will:

  • Auto-detect your frameworks (React, Vite, Node, etc.)
  • Generate the .context folder
  • Create a .cursorrules file pre-configured to instruct AI agents to read the memory bank before acting

Key Features

The core protocol (TOCKET.md) is completely agent-agnostic. The tool is described as a "Context Engineering Framework" rather than another AI agent. The repository is available at https://github.com/pedrocivita/tocket.

📖 Read the full source: r/ClaudeAI

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👀 See Also

Hippo v0.21.0: Biologically-Inspired Memory for AI Agents with Multi-Tool Support
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Hippo v0.21.0: Biologically-Inspired Memory for AI Agents with Multi-Tool Support

Hippo v0.21.0 introduces one-command setup for multiple AI coding tools including Claude Code, OpenCode, OpenClaw, Codex, Cursor, and Pi. The memory system features decay, retrieval strengthening, and consolidation with zero runtime dependencies.

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Comparing Multi-Agent AI Systems: Anthropic's Harness vs Agyn's Engineering Org Model
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Comparing Multi-Agent AI Systems: Anthropic's Harness vs Agyn's Engineering Org Model

Anthropic published a harness design for long-running application development, while Agyn's multi-agent system for team-based autonomous software engineering was open-sourced last month. Both systems reject monolithic agents in favor of role separation, structured handoffs, and review loops.

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