DirectoryAI & ML PlatformsEnterprise AI ApplicationsPieces for Developers

Pieces for Developers

Funded

AI-powered long-term memory for developer workflows and collaboration

Visit Website

About Pieces for Developers

Pieces for Developers offers an AI-driven long-term memory platform designed to capture and organize all workstream activities automatically. It records code, documents, chats, and other context across applications, enabling developers to seamlessly recall past work and maintain continuity without manual effort. This persistent memory integrates directly into the developer's workflow, providing time-based search and contextual retrieval to enhance productivity and reduce cognitive load.

Targeted primarily at enterprise developers and teams, Pieces supports collaboration by linking shared context and preserving flow during deep work, meetings, and research. Its architecture prioritizes privacy and security by running locally on devices with optional cloud integration, ensuring data control remains with the user. By embedding real-time context for popular language models and developer tools, Pieces aims to transform how development teams manage knowledge and workflows at scale.

Key Capabilities

  • Automatic capture of code, docs, and chats
  • Time-based natural language search of memories
  • Local on-device processing with optional cloud
  • Integration with popular developer tools and LLMs
  • Context preservation across apps and teammates

Integrations

ChromeVS CodeGitHub Copilot

Related Buyer Guides

Independent evaluation frameworks for this category.

AI Agent & Agentic AI Platforms
Compare LangGraph, CrewAI, Microsoft Agent Framework, OpenAI Agents SDK, Google ADK, AWS Bedrock AgentCore, LlamaIndex, and Temporal — where production operability, not the slickest multi-agent demo, is the deciding criterion.
AI Governance & Responsible AI
Evaluate IBM watsonx.governance, Credo AI, Microsoft Purview, ServiceNow, Holistic AI, Fiddler, Arthur, and Monitaur — and decide first whether your gap is governance and compliance or ML observability, because the EU AI Act and NIST AI RMF reward the platform wired into how models are built and run.
Computer Vision & Visual AI
Evaluate Google Vision/Vertex AI, AWS Rekognition, Azure AI Vision, Landing AI, Roboflow, Cognex, Encord, and Ultralytics — with the pretrained-API vs. custom-model and cloud vs. edge decisions, not a generic feature list, as the deciding criteria.

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .

Quick Facts

pieces.app
CategoryAI & ML Platforms
SubcategoryEnterprise AI Applications
PricingSubscription
DeploymentSaaS
Target SizeEnterprise