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ByHeather MacAvelia·Last verified May 15, 2026
Pieces for Developers logo

Pieces for Developers

3.9/ 5

by Pieces

MCP✓ Verified Review
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AI productivity tool with Long-Term Memory technology that captures developer context across browsers, IDEs, and collaboration tools. Free Individual; Teams custom pricing.

From

Free

freemium

GitHub

Stars

G2

View on G2 ↗

MCP

⚡ Yes

Compatible

Pieces for Developers is the AI productivity tool that uses pioneering Long-Term Memory (LTM) technology to capture and preserve developer context across browsers, code editors, terminals, and collaboration tools — letting developers reference past work, code snippets, conversations, and decisions without manually saving everything. Founded with a focus on the context-loss problem that affects all knowledge workers but particularly developers, Pieces has grown into a defining brand in the developer memory and context management category. Pricing is tiered with a generous free Individual tier: Individual covers 9 months of personal context with basic Copilot assistance and email support — accessible for individual developers without payment. Teams tier adds 9 months of team context with shared memory across teams, BYOK or preferred LLM choice (OpenAI, Anthropic, Ollama), and priority phone and email support — custom-priced for organizations needing team-wide context sharing. Enterprise pricing is custom for organizations needing SSO, advanced security, custom retention policies, and dedicated support. Pieces' differentiation versus GitHub Copilot, Cursor, and Cline is the cross-tool memory architecture rather than IDE-only AI: instead of providing AI assistance only within a code editor, Pieces captures context from browsers (research, Stack Overflow, documentation), code editors (snippets, files, projects), terminals (commands, outputs), and collaboration tools (Slack, Discord) in a unified memory layer. This addresses the context-loss problem that emerges when developers move between tools and lose track of past work, decisions, and patterns. Pieces is positioned as complementary to AI coding tools rather than competitive — developers can use Pieces alongside Cursor, Copilot, or any other AI tool, with Pieces providing the persistent memory layer that makes AI assistants more effective by giving them access to developer-specific context. The platform processes data locally where possible for privacy, with optional cloud sync for team features. Pieces operates under SOC 2 Type II compliance with enterprise security capabilities available on Teams and Enterprise tiers.

Pricing

freemium · Free

Segment

b2b

Setup

easy

Verified

May 15, 2026

Capabilities

code-generationautocompletemulti-file-editingagentic-coding

Pros & Limitations

Editorial assessment

Pros

  • Cross-tool memory architecture is genuinely differentiated — Pieces captures context from browsers, IDEs, terminals, and collaboration tools in a unified layer that no IDE-only AI tool (Copilot, Cursor, Cline) can replicate
  • Generous free Individual tier with 9 months of personal context — accessible to individual developers without payment, lower friction than paid-only competitors and complementary to existing AI coding tools rather than replacing them
  • BYOK and local-first processing addresses privacy concerns — local data processing where possible plus BYOK on Teams tier supports security-conscious developers and enterprises that block cloud-only AI tools at security review

Limitations

  • Memory tool category is newer and less proven than AI coding assistants — developers must invest time to build context that produces value, with longer time-to-meaningful-benefit than tools that work immediately on first use
  • Smaller installed base than GitHub Copilot or Cursor — Pieces has solid niche positioning but lags broader AI coding tool adoption, which means fewer community resources and integration examples
  • Team context sharing requires careful configuration — shared memory across teams introduces governance and privacy considerations (whose context gets shared, with whom, for how long) that individual-only tools don't face

Technical Details

Deployment
webidedesktop
Model architectureProprietary
Avg setup time< 30 minutes (download desktop app, install browser and IDE plugins, first context capture begins automatically)
Autonomous rateConfigurable: Pieces captures context autonomously in the background; users query and reference captured memory through Copilot interface
MCP compatibleYes
Integrations
VS CodeJetBrainsChromeGitHubGitLabSlackMicrosoft Teams
Security
SOC 2 Type II

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Rating

3.9/ 5

Editorial score

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Industries

DevToolsEnterpriseSaaS

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