Pieces for Developers vs Sandboxed.Sh

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-11
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At a glance

DimensionPieces for DevelopersSandboxed.Sh
Primary FunctionOS-level memory layer automating workflow captureSelf-hosted orchestrator for long-running AI coding agents
Data ResidencyOn-device by default, optional cloud sync unknown100% on your infrastructure, never leaves
Core WorkflowPassively record and search your daily contextDeploy persistent agents for hours-long tasks
Key IntegrationsChrome, VS Code, JetBrains, Slack, Zoom, MCP ServerClaude Code, OpenCode, Codex, Gemini, Grok, Docker
Best ForContext-switching heavy, memory-recall needsLong-running, sensitive code migrations

If you need to run unattended AI agents for hours on sensitive code, Sandboxed.Sh is the only choice—it’s self-hosted and containerized. If you lose context daily across apps and want automatic recall, Pieces for Developers gives you a searchable timeline without manual effort. They solve opposite problems: one is an agent orchestrator, the other a memory recorder.

Try Pieces for DevelopersTry Sandboxed.Sh
Pieces for Developers
Pieces for Developers

Pieces for Developers captures your focused app every 2 seconds, building an on-device AI memory layer you can query or pipe into any assistant.

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Sandboxed.Sh
Sandboxed.Sh

Self-hosted control plane for Claude Code, Codex, Antigravity, OpenCode and Grok agent runs across your Mac, Linux nodes and cloud coordinators.

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Pricing
Freemium
Freemium
Plans
$0 (card required)
$18.99 per user/month · billed monthly
$22.99 per user/month · billed monthly
$19/mo
Popularity
6.3k views
4 views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Desktop
WebMobileDesktopAPI
Categories
📝 Notes & Knowledge Management💻 Code & Development👥 Meeting Assistants & Notetakers
🛠️ Autonomous Coding Agents⚙️ Developer Infrastructure
Features
Automatic capture of the focused app every 2 seconds
Natural-language recall scoped by time, topic, person, or tool
Chronological timeline of research, chats, emails, notes, and meetings
Opt-in clipboard capture of what you copy and paste
Opt-in audio capture from meetings and conversation apps (Feb 2026)
Single-click summaries for standups, morning briefs, meeting prep, and day recaps
Scheduled daily and weekly summaries (March 2026)
Agentic Long-Term Memory that proactively surfaces past context (May 2026)
Meeting Prep built on agentic Long-Term Memory (May 2026)
Rebuilt local LLM engine for on-device processing (March 2026)
Pieces MCP Server carries full history into MCP-ready assistants
Switch between Claude, Gemini, ChatGPT, and local models per question
Memories saved on-device by default
Granular privacy controls: pause, disable per app/site, delete by source or capture method
macOS and Windows desktop app
One composer for Claude Code, Codex, Antigravity, OpenCode, Grok, ChatGPT UI and cloud adapters
Three execution modes: local Mac via Tauri runner, private Linux nodes, cloud coordinators
Self-hosted Core backend on Linux or via Docker install
Isolated systemd-nspawn containers with cgroup resource caps on your own servers
Host-directory workspaces for agents that need files in place
Subscription sign-in for Anthropic, OpenAI, xAI, Kimi and Google Antigravity in Providers
CLIProxyAPI Plus OAuth ownership via SANDBOXED_OAUTH_OWNER=cli-proxy to avoid refresh-token races
Live provider plan and quota status inspection with model routing fallback chains
/plan mode with native question and approval cards
/goal mode for autonomous multi-turn execution
Durable follow-up queue that sends on turn completion or immediately
schedule_wakeup durable mission wake-ups and automatic interrupted-run recovery
Cross-machine mission transfer with SHA-256 verified file manifests and Git bundles
Bi-directionally synchronized Context folder exposed to agents as @context
Collapsible activity and thought folds with nested subagent visibility
Integrations
Chrome
Arc
Safari
Gmail
Outlook
Slack
Microsoft Teams
Google Chat
Discord
Google Meet
Zoom
Google Docs
Notion
Figma
VS Code
GitHub
Claude Code
Codex
Antigravity
OpenCode
Grok
ChatGPT
Hermes
Cursor Cloud
Grok Bot
CLIProxyAPI Plus
Docker
Tauri

What real users say: Pieces for Developers vs Sandboxed.Sh

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Pieces for Developers

59 mentions across 3 sources · 58% positive — mixed (averaged across 3 sources)

YouTube, Product Hunt, Lemmy

What users praise

  • • Automatic capture creates a searchable memory without manual logging.
  • • MCP server integration feeds context into Claude, Cursor, Codex, and more.
  • • Privacy-first design with on-device storage and granular controls.
  • • Audio capture for meetings transcribes and stores call decisions.

What frustrates them

  • • Constant capture may raise privacy concerns for sensitive work.
  • • Performance overhead from capturing every 2 seconds could be an issue.
  • • Primarily desktop; mobile capture is missing for on-the-go users.
  • • Learning curve to configure privacy controls and integrations.

Researched Aug 24, 2026

Sandboxed.Sh

1 mentions across 1 sources · 75% positive (averaged across 1 source)

GitHub

What users praise

  • • No session timeouts—agents run up to 10 hours unattended.
  • • Full data sovereignty with self-hosted Docker containers.
  • • Encrypted secrets management for sensitive codebases.
  • • Skills library version-controlled via git for repeatable workflows.

What frustrates them

  • • Very limited real-world user feedback available publicly.
  • • Requires own server and domain—extra cost and setup.
  • • No managed cloud option; self-hosting only.
  • • Learning curve for Docker, runtime config, and skill definitions.

Researched Jul 3, 2026

Who should pick which

  • Developer running multi-hour code refactors
    Pick: Sandboxed.Sh

    Sandboxed.Sh lets you deploy persistent agents (10 min–10 hrs) inside Docker, perfect for unattended migrations. Pieces can't run agents.

  • Developer who context-switches frequently
    Pick: Pieces for Developers

    Pieces automatically captures all apps, builds a searchable timeline, and now offers agentic memory for meeting prep – ideal for regaining lost context.

  • Security-conscious team handling sensitive code
    Pick: Sandboxed.Sh

    Data never leaves your infrastructure; each project in its own Docker container. Pieces stores on-device but may have cloud sync options.

  • Freelancer tracking billable hours
    Pick: Pieces for Developers

    Pieces added Time Breakdown (Jan 2026) that tracks time across apps for billing – Sandboxed.Sh doesn't track hours.

  • DevOps engineer automating multi-project tasks
    Pick: Sandboxed.Sh

    Multi-project Docker environments, CLI for scripting, and skills library in git – tailor-made for automation, not memory capture.

Frequently Asked Questions

Pieces for Developers vs Sandboxed.Sh: which should you choose?

If you need to run unattended AI agents for hours on sensitive code, Sandboxed.Sh is the only choice—it’s self-hosted and containerized. If you lose context daily across apps and want automatic recall, Pieces for Developers gives you a searchable timeline without manual effort. They solve opposite problems: one is an agent orchestrator, the other a memory recorder.

Can Sandboxed.Sh run agents without my own AI API keys?

No. It orchestrates runtimes like Claude Code, OpenCode, or Codex – you must supply the API keys and models. Pieces doesn't need keys; it uses on-device LLMs.

Does Pieces for Developers upload my data to the cloud?

Memories stay on-device by default. The free tier stores 9 months locally. Team plans may enable cloud sync, but details aren't stated.

Which tool is better for non-technical users?

Pieces for Developers: install a desktop app and it works automatically. Sandboxed.Sh requires Docker, Vercel, and server setup – technical only.

Can Sandboxed.Sh be used for short, interactive coding?

Not ideal – it's built for long–running tasks (10 min minimum). Quick iterations are better in a standard editor with an AI plugin.

Does Pieces support audio capture from meetings?

Yes, opt-in audio capture for Zoom, Google Meet, Teams was added in February 2026, transcribing and indexing conversations.

Can I use Sandboxed.Sh with GitHub Copilot?

No – it integrates with agent runtimes like Claude Code, OpenCode, Codex, Gemini, Grok. Copilot is a plugin, not a supported runtime.

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Explore each tool further

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Last reviewed: July 30, 2026