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Kilo Code vs Pieces Copilot

Pieces Copilot provides an AI sidekick integrated into the workflow but is a proprietary service with its own pricing model.

Side by side

What it is
Kilo Code:Kilo Code is an open-source AI coding agent that works in VS Code, JetBrains IDEs, CLI and cloud to write, refactor and debug code via chat.
Pieces Copilot:Pieces Copilot captures your work history and provides searchable, contextual AI assistance across apps.
Best for
Kilo Code:Open-source AI coding agent across IDEs and CLI
Pieces Copilot:Context-aware AI assistance
Who it’s for
Kilo Code:Individual developers and teams who want a self-hostable, model-agnostic AI coding assistant.
Pieces Copilot:Developers and knowledge workers who need instant recall of their workflow.
Pricing
Kilo Code:Freemium
Pieces Copilot:Paid
Plans
Kilo Code:Free $0 · Teams $15/user/month per month · Kilo Pass $19/mo per month · Auto Free $0/mo
Pieces Copilot:Pro $18.99 per user / month · Enterprise $22.99 per user / month
Open source
Kilo Code:Yes, 27,460 GitHub stars
Pieces Copilot:—
Works with
Kilo Code:VS Code, CLI, Slack, Cloud agents
Pieces Copilot:Gmail, Outlook, Chrome, Arc, Safari, Slack, Microsoft Teams, Google Chat
DevHunt upvotes
Kilo Code:0
Pieces Copilot:63
Launched on DevHunt
Kilo Code:Jan 2026
Pieces Copilot:Mar 2024

Kilo Code features

  • Multi-surface agent. Same open-source AI agent runs in VS Code, JetBrains IDEs, terminal CLI and cloud agents.
  • Agent modes. Switch between Code, Architect, Debug, Custom and Auto Model modes without changing tools.
  • Model flexibility. Use free, frontier or local models, bring your own API keys, or let Auto Model route the best model.
  • Team collaboration. Teams plan adds shared agent modes, usage analytics, centralized billing and team management.
  • Open source & auditability. MIT-licensed source lets you inspect prompts, context windows and modify the agent.
  • Cloud compute & agents. Run cloud agents and code review workloads with pay-as-you-go compute pricing.

Pieces Copilot features

  • Live timeline. Chronological capture of research, chats, emails, notes, and meetings.
  • Searchable memory. Search, filter, and revisit any moment by time, topic, person, or tool.
  • One-click summaries. Generate stand-up updates, briefs, and recaps instantly from your context.
  • Multi-model support. Switch between Claude, Gemini, ChatGPT, and local models in a single plan.
  • MCP integration. Carry full history into any MCP-ready AI assistant such as Claude, Cursor, Codex.
  • Privacy controls. Data stored on-device by default; pause or disable capture per app.
  • Enterprise governance. Org-wide capture policies, approved providers, and custom API keys.

Based on each tool's website and DevHunt data. Details may change; check the official sites.