ByHeather MacAvelia·Last verified Jun 20, 2026

Pieces for Developers

Name: Pieces for Developers
Author: Pieces

★3.9/ 5

by Pieces

MCPIndependently Reviewed

Visit pieces.app →

AI memory layer with Long-Term Memory technology capturing developer context across browsers, IDEs, and collaboration tools. 150,000+ developers. Free Individual; Teams custom pricing.

From

Custom

freemium ↗

GitHub

—

Stars

—

Rating

MCP

⚡ Yes

Compatible

Pieces for Developers is the AI memory layer for developers and AI agents that uses 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 in 2020 in Cincinnati by Mesh Intelligent Technologies, Pieces raised $13.5 million in Series A funding led by Drive Capital in July 2024, with additional investment from Flat Capital in August 2025. The platform serves over 150,000 developers and won #1 Product of the Day on Product Hunt. Pieces differentiates from GitHub Copilot, Cursor, and Cline through its cross-tool memory architecture rather than IDE-only AI: instead of providing AI assistance only within a code editor, Pieces captures context from browsers, code editors, and terminals in a unified memory layer via its proprietary LTM-2 engine operating at the OS level. The Workstream Activity view in the desktop app chronologically lists recent events in structured roll-ups, and the stand-up feature generates daily work summaries from captured context. Integration depth is exceptional across developer surfaces. Pieces ships dedicated plugins for VS Code (95,000+ installs), JetBrains (34,000+ installs), Visual Studio (15,000+ installs), Obsidian (10,000+ installs), JupyterLab (3,000+ installs), Sublime Text, and Neovim, plus a browser web extension (15,000 installs covering Chrome, Edge, Firefox, and Brave), a CLI tool, and a Raycast extension. MCP is supported, connecting Pieces memory to coding agents including GitHub Copilot, Claude, Cursor, and Goose as confirmed on the official homepage. The platform supports cloud models (OpenAI, Anthropic), local models (Ollama), and proprietary nano-models, giving teams flexibility on data residency. No dedicated plugins exist for project management tools like Jira or Linear, or for collaboration platforms like Slack or Microsoft Teams. Pricing is tiered with a generous free Individual tier. Individual at $0 covers 9 months of personal context with basic Copilot assistance and email support. Teams adds 9 months of team context with shared memory, BYOK or preferred LLM choice (OpenAI, Anthropic, Ollama), and priority phone and email support, custom-priced for organizations. No self-serve Teams tier is available: organizations must contact sales to evaluate team features. Pieces is not the right fit for teams expecting an autonomous coding agent. It is a memory and context layer, not an autonomous engineering platform. Teams needing AI-driven code generation should evaluate Cursor at $20/month or Claude Code at $20/month instead, and use Pieces alongside those tools as a complementary persistent memory layer. The custom Teams pricing creates friction for mid-market teams that want to self-serve without a sales conversation. Current state Q2 2026: Pieces processes data locally where possible and explicitly commits to never using customer data, confirmed on the official pricing page FAQ. The platform is SOC 2 Type II certified. LTM-2 launched March 2025 with Workstream Activity and nine months of on-device workflow history. Nano-models shipped April 2025 with LTM-2.5. Scott Hanselman (VP of Developer Community at Microsoft) has publicly endorsed Pieces. The G2 listing previously associated with Pieces for Developers is no longer active. Pieces is designed as complementary to AI coding tools: developers can use it alongside Cursor, Copilot, or any other coding tool, with Pieces providing the persistent memory layer that those tools lack.

Pricing

freemium

View pricing ↗

Segment

b2b

Setup

easy

Verified

Jun 20, 2026

Transparency

Partial

Contract

Month-to-month

Data training

Not Trained

Autonomy

Human Optional

Capabilities

code-generationautocompletemulti-file-editingagentic-coding

Pros & Limitations

Editorial assessment

Pros

✓Cross-tool memory architecture with 10 dedicated plugins captures context that IDE-only tools miss: VS Code (95,000+ installs), JetBrains (34,000+), Visual Studio (15,000+), Obsidian (10,000+), JupyterLab, Sublime Text, Neovim, browser extension, CLI, and Raycast cover the full developer surface.
✓Local-first processing with explicit no-training commitment and SOC 2 Type II certification: Pieces processes data locally where possible, supports on-device models via Ollama and proprietary nano-models, and commits to never using customer data, addressing privacy blockers at security-conscious organizations.
✓MCP support connects Pieces memory to GitHub Copilot, Claude, Cursor, and Goose: the persistent memory layer complements rather than competes with AI coding agents, letting developers use their preferred coding tool with Pieces providing the context those tools lack.

Limitations

⚠Memory tool category requires investment before delivering value: developers must accumulate context over time before the LTM advantage materializes, with longer time-to-meaningful-benefit than tools that work immediately on first use.
⚠Teams pricing requires contacting sales with no self-serve option: organizations cannot evaluate team features like shared memory and BYOK model selection without a sales conversation, adding friction compared to competitors with self-serve team trials.
⚠Not an autonomous coding agent: Pieces is a memory and context layer that complements but does not replace AI coding tools like Cursor or Claude Code; teams expecting autonomous code generation, bug fixing, or PR creation will not find those capabilities here.

Technical Details

Deployment

webidedesktop

Model architectureProprietary

Avg setup timeUnder 30 minutes: download desktop app, install browser and IDE extensions, first context capture begins automatically

Autonomous rateConfigurable: Pieces captures context autonomously in the background via OS-level Long-Term Memory; users query and reference captured memory through Copilot interface and MCP connections to coding agents

MCP compatibleYes

Integrations

VS CodeVisual StudioJetBrainsJupyterLabSublime TextNeovimObsidianRaycastCLIWeb ExtensionMCP

Security

SOC 2 Type II