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Tool Coding freemium active Below 8
7.3/10 Useful
Active

Monthly $0 individual Annual Teams contact-for-pricing Price Pro docs still list $18.99/month

Best plan

$0 individual

Risk: Requires local app/service adoption and habit change...

Try Pieces for Developers free

Editorial · no paid placements

Should you use it?

Pieces is a local-first AI memory layer for developers. LTM-2 captures code, tabs, and context across IDEs and browser. Free tier runs on-device LLMs with no caps. Pricing needs a live checkout check: the public pricing page currently highlights a free Individual plan and Teams contact-for-pricing, while the paid-plans docs still list Pro at $18.99/mo or $169.99/yr.

  • Buy if Developers who lose snippets across tools
  • Pick $0 individual; Teams contact-for-pricing; Pro docs still list $18.99/month
  • Skip if Developers seeking code generation from scratch

Plan guidance

What to buy

Best plan $0 individual; Teams contact-for-pricing; Pro docs still list $18.99/month

Watch: Requires local app/service adoption and habit change...

Price range $0 individual; Teams contact-for-pricing; Pro docs still list $18.99/month

$0 public Individual; Pro docs $18.99/mo or $169.99/yr; Teams contact-for-pricing

Upgrade only if Not for developers seeking code generation from scratch

Requires local app/service adoption and habit change...

Current pricing source: Pieces pricing

Fit

Use it for this, skip it for that

Best for

  • Developers who lose snippets across tools
  • Privacy-conscious solo engineers
  • Users wanting offline-capable AI assistance
  • Teams needing shared snippet collections

Avoid if

  • Developers seeking code generation from scratch
  • Users wanting a Copilot or Cursor replacement
  • Workflows that do not involve snippet reuse
Watch out
Requires local app/service adoption and habit change; teams that only need completions may prefer Copilot, Cursor, or Codeium/Windsurf.

Recent changes

Only what affects the decision

  1. Individual / Pro docs / Teams

    Public pricing still emphasizes free Individual with 9 months of individual context and Teams contact-for-pricing. Paid-plan docs still list Pieces Pro at $18.99/mo or $169.99/yr

    Pieces pricing
  2. Individual / Pro / Teams

    June 1 recheck found two official surfaces: pieces.app/pricing emphasizes a free Individual plan with 9 months of individual context and Teams contact-for-pricing...

    Pieces pricing
  3. Pro Annual

    Annual billing surfaced at 20% discount vs monthly

    Pieces paid plans docs

Alternatives

Best swaps

GitHub Copilot

GitHub-native AI pair programmer across IDEs, GitHub, CLI, code review, Spaces, Spark, and cloud Coding Agent workflows, now gov

$0-$100/user/month · 9.3/10 Claude Code

Anthropic's agentic coding product for terminal, IDE, desktop, browser, and remote codebase work. Included with paid Claude plan

$20-$200/month · 9/10 OpenAI Codex

OpenAI's agentic coding product. Cloud-async coding agent, Codex Desktop app, CLI, IDE extensions, Chrome extension, and now Cha

Included with ChatGPT Free, Go ($8/mo), Plus ($20/mo), Pro, Business, Edu, and Enterprise · 8.5/10
Build comparison
Proof and score math Verified Jun 25

Proof

Why this recommendation is trusted

Evidence Pieces paid plans docs
Source
Registered source
Freshness
Current
Confidence
Medium confidence
Verified
Review
Volatility
Volatile

High-volatility evidence needs frequent review.

Editorial score

Unweighted average of 4 axes · confidence high

  • Utility 8/10

    How much real work it can do for a competent operator, end to end.

  • Value 8/10

    What you get for the dollar relative to the closest alternative.

  • Moat 6/10

    How hard it would be for a competitor to replicate the underlying advantage.

  • Longevity 7/10

    How likely the product is to still be best-in-class 24 months out.

Verified facts

  1. Best For Developers who want cross-tool memory, saved snippets, and local context recall rather than another code-completion-only assistant.
    high Drifts 2026-06-25 Pieces paid plans docs
  2. Pricing Anchor Official surfaces currently split: the public pricing page emphasizes free Individual and Teams contact-for-pricing, while the paid-plans docs still list Pieces Pro at $18.99/mo or $169.99/yr with premium model access.
    high Volatile 2026-06-25 Pieces paid plans docs
  3. Watch Out For Requires local app/service adoption and habit change; teams that only need completions may prefer Copilot, Cursor, or Codeium/Windsurf.
    medium Drifts 2026-06-25 Pieces core dependencies docs
  4. Product Scope Developer productivity assistant focused on local workflow memory, context capture, snippets, and on-device/cloud model support across developer tools.
    high Drifts 2026-06-25 Pieces paid plans docs
  5. Core Dependencies Pieces docs describe desktop/service dependencies and local components, which matter for rollout, updates, and troubleshooting.
    high Drifts 2026-06-25 Pieces core dependencies docs
Full review notes Long-form details, FAQ, and source history

Pieces for Developers is a local-first AI memory layer for engineers. The desktop app (Pieces OS) sits between IDEs, browser, and terminal, capturing code snippets, tabs, conversations, and context continuously, then making it queryable in natural language.

Pricing is the watch item. Pieces’ public pricing page currently emphasizes a free Individual plan and Teams contact-for-pricing, while its paid-plan docs still list Pieces Pro at $18.99/mo or $169.99/yr ($14.17/mo equivalent, 20% off). Treat the account checkout as the source of truth before buying.

System Verdict

Pick Pieces if you repeatedly lose context across tools. The LTM-2 engine (Long-Term Memory) silently captures what you work on: open code, visited tabs, conversation excerpts, terminal commands. Query it weeks later in natural language. No other tool on the market does this with local-first defaults.

Skip it as a code generator. Pieces does not write new code like GitHub Copilot or Cursor. It manages what you already have. Runs alongside code generators, not instead of them.

Who pays which tier: Free is the right starting point for solo developers evaluating local memory. Pay for Pro only if the checkout confirms premium model access, longer retention, and priority support are still attached to your account. Teams should contact sales because the public page no longer exposes a self-serve team price.

Key Facts
Core functionLocal-first AI memory layer for code, context, and snippets
TiersPublic page: free Individual and Teams contact-for-pricing; paid-plan docs: Pro $18.99/mo or $169.99/yr
Free planOn-device LLMs (Ollama-backed) with no usage caps, limited cloud access
Pro docsPremium cloud models such as GPT-5.2 Pro, Claude 4.6 Opus/Sonnet, Gemini 3.1 Pro Preview, Perplexity Sonar, and reasoning models; availability varies by plan and region
Memory retentionFree rolling window · Pro up to 9 months
On-device modelsLlama, Gemma, Phi (via Ollama)
IDE integrationsVS Code, JetBrains, Azure Data Studio, Obsidian, Xcode, terminal, Slack
Browser integrationChrome extension with source URL and title capture
Data locationLocal by default. Cloud sync opt-in
LTM engineLTM-2 captures continuously in the background

Every data point above was verified against vendor sources on 2026-06-25. See Sources.

What it actually is

A background memory service plus a query surface. The Pieces OS daemon runs on the machine and captures context across connected tools without prompting. The Chrome extension logs code snippets from web pages with source metadata. IDE plugins save, search, and insert snippets inline.

The Pieces Copilot sits on top. On Free, it runs on-device LLMs against the captured memory. The paid-plan docs say Pro unlocks unlimited cloud model access to premium OpenAI, Anthropic, Google, Perplexity, and reasoning models, but buyers should confirm that entitlement in checkout because the main public pricing page now frames Individual as free and Teams as sales-led.

LTM-2 is the differentiator. It builds a searchable timeline of sessions. Query “what was I debugging last Thursday” in natural language and the engine reconstructs tool state, open files, and referenced content from that window.

When to pick Pieces

  • Snippet loss is a daily friction. “I know I wrote this before, where did I put it?” becomes a solved problem.
  • You work across four or more tools. VS Code, browser, Slack, terminal captured in one searchable surface.
  • Privacy matters. Local-first defaults keep code on the machine. Cloud sync is opt-in, per-snippet.
  • You want offline AI assistance. On-device Llama 3.2 3B answers questions about saved code without network access.
  • You already pay for Copilot or Cursor for generation. Pieces fills the memory gap they do not address.

When to pick something else

  • Code generation from natural language: GitHub Copilot at $10/mo. Different category.
  • Full AI IDE with codebase-wide context: Cursor at $20/mo. Replaces the IDE rather than supplements it.
  • Free autocomplete without memory features: Tabnine or the free tier of Copilot. Lower cost, no memory layer.
  • Simple snippet managers without AI: Raycast or native OS snippet tools. Text storage only.

Pricing

PlanPriceModelsMemory retentionWho’s it for
Free$0On-device Llama, Gemma, Phi (Ollama) + limited cloudRolling windowSolo developers on local AI
Pro Monthly docs$18.99/moPremium OpenAI, Anthropic, Google, Perplexity, and reasoning modelsUp to 9 monthsMonth-to-month evaluators, if checkout still offers Pro
Pro Annual$169.99/yr ($14.17/mo)Same as Pro Monthly, 20% offUp to 9 monthsMost paid users land here
EnterpriseCustomFull suite + controlsCustomSSO, audit, admin, on-prem

Prices verified 2026-06-25 via Pieces public pricing and Pieces Pro pricing docs. Because the two official surfaces do not present the same buyer path, confirm the in-app checkout before committing.

Against the alternatives

Pieces ProGitHub CopilotCursor Pro
Monthly$18.99 (annual $14.17)$10$20
Primary jobMemory + snippet retrievalCode generationAI IDE with codebase context
On-device LLMYes, unlimitedNoNo
Cross-session memoryLTM-2, up to 9 monthsSession-scopedSession + workspace
Cross-tool context (browser, Slack, terminal)YesNoNo
Code generationNoYesYes
Best viewed asMemory augmenterGeneration toolIDE replacement

Failure modes
  • Not a code generator. Pieces manages existing code. New code still comes from Copilot, Cursor, or a chat assistant.
  • Value compounds with capture discipline. The tool rewards consistent snippet-saving; passive install produces little value in week one.
  • On-device models cap at smaller sizes. Llama 3.2 3B class runs locally. Complex reasoning still needs cloud models via Pro.
  • Team features overlap existing tools. GitHub, Confluence, and Notion already handle shared snippets. Pieces adds AI search but the marginal value is thinner for team-only use cases.
  • Cross-platform gaps. Linux integration lags macOS and Windows for some IDE plugins.
  • Memory surface can surprise users. LTM-2 captures continuously. Review what was captured before enabling cloud sync.
  • Pricing surfaces conflict. The public pricing page now emphasizes free Individual and Teams contact-for-pricing, while the docs still list Pro. Do not rely on a scraped directory price without checking the checkout.

Recent changes
  • June 1, 2026: Public pricing page shows free Individual and Teams contact-for-pricing; paid-plan docs still show Pro monthly/annual pricing.
  • June 1, 2026: Paid-plan docs list premium model families including GPT-5.2 Pro, Claude 4.6 Opus/Sonnet, Gemini 3.1 Pro Preview, and Perplexity Sonar Deep Research, with a region/plan availability caveat.
  • 2025-2026: Teams tier ($12/user) retired in favor of the consumer Pro plan plus an enterprise-only track.

Methodology

This page was produced by the aipedia.wiki editorial pipeline, an automated system that ingests vendor documentation, verifies pricing and product details against primary sources, and generates the editorial analysis you are reading. No individual human wrote this review. Scoring follows the four-dimension rubric at /about/scoring/ (Utility, Value, Moat, Longevity, unweighted average). Last verified 2026-06-25 against Pieces public pricing, Pieces Pro pricing docs, and Pieces features.

FAQ

Is Pieces free? Yes. The current public pricing page emphasizes a free Individual plan. The paid-plan docs still list Pro at $18.99/mo or $169.99/yr with premium model access, so check the in-app checkout before treating Pro as universally available.

Does Pieces store my code on its servers? No by default. Local-first storage keeps snippets and context on the machine. Cloud sync is opt-in per-feature.

What is LTM-2? The Long-Term Memory engine. Captures open code, visited tabs, conversations, meetings, snippets, and terminal activity silently in the background. Queryable in natural language. Pro retains up to 9 months; Free runs a rolling window.

How does Pieces differ from Raycast or native snippet managers? Traditional managers store and retrieve text. Pieces adds AI auto-enrichment (tags, descriptions, language detection, source attribution), natural-language search, on-device Copilot for Q&A over snippets, session timelines, and automatic capture across IDEs, browser, and terminal.

Is Pieces a Copilot replacement? No. Pieces manages existing code and context. Copilot and Cursor generate new code. Most developers run both.

Sources
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According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/pieces/)
aipedia.wiki Editorial. (2026). Pieces for Developers: Editorial Review. aipedia.wiki. Retrieved July 2, 2026, from https://aipedia.wiki/tools/pieces/
aipedia.wiki Editorial. "Pieces for Developers: Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/pieces/. Accessed July 2, 2026.
aipedia.wiki Editorial. 2026. "Pieces for Developers: Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/pieces/.
@misc{pieces-for-developers-editorial-review-2026, author = {{aipedia.wiki Editorial}}, title = {Pieces for Developers: Editorial Review}, year = {2026}, publisher = {aipedia.wiki}, url = {https://aipedia.wiki/tools/pieces/}, note = {Accessed: 2026-07-02} }
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