How to Set Up OpenClaw With Your Pieces Long-Term Memory
A stepbystep guide to setting up OpenClaw with Pieces LongTerm Memory so your AI agent has full context of your work from day one.
Pieces Blog
Guides, product deep-dives, and ideas on memory, context, and working with AI.
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A comprehensive review of the best AI Memory systems
Indepth 2025 review of the best AI memory systems for developers. Compare architectures, features, use cases, and performance
Not a standup tool: the AI memory that makes standups great
Ditch standup bots. Use Pieces, an ondevice artificial memory that captures your work to generate accurate, detailed standup reports with a simple prompt.
Building a daily productivity app with Pieces — Part 4: polish & production ready
Build a daily productivity app with Pieces in Part 4 of the series: polish the UX, tighten performance, fix edge cases, and make your app productionready with deployment best practices.
Building a daily productivity app with Pieces — Part 2: Adding AI Intelligence with Gemini
Build a daily productivity app with Pieces (Part 2) by adding AI intelligence with Google Gemini, covering architecture, prompts, integrations, and practical tips to ship smarter workflows.
Building a daily productivity app with Pieces - Part 3: bringing it all together with Flutter UI
Part 3: Flutter UI to bring your Pieces daily productivity app together.
Building daily stand-up generator using Pieces API — Part 1: The SDK overview
Learn how to build a daily standup generator using the Pieces API. This first part of the series covers the SDK overview, key capabilities, and how developers can streamline workflow automation with Pieces.
How we stopped watching our engineers struggle through stand-ups
Tired of awkward standup meetings where great engineers sound like they did nothing? I automated our team's standups with AI and got 3 people promoted. Here's exactly how we changed standups and made real work visible to managers.
Top 3 ways to improve your work performance (that I wish I’d learned sooner)
Discover the top 3 ways to improve work performance, based on real experience, not just theory. Learn how to gain clarity through context tracking, reduce mental load by automating reporting, and turn daily updates into actionable personal insights.
We fixed every other meeting problem. Why not stand-ups?
Most teams hate standup meetings but keep doing them anyway. We used AI to capture our work automatically and skip the meeting entirely. Here's how it works.
Why stand-ups feel harder than they should
Struggle to remember what you did before standups? Here’s why daily updates feel harder than they should, and how to make them effortless.
How to have a better stand-up meeting than 99% of people
Stop treating standups like boring task reports. Learn how 1% of teams actually take advantage of that. Real example with team quotes and results.
11 Best IDEs for Python developers in 2025
Explore 11 top Python IDEs to boost productivity, streamline coding, and enhance your development workflow.
How we automated stand-up meetings (and why you should too)
Stop scrambling to remember what you worked on yesterday. Learn how one developer automated daily standup updates with AI, transformed "no updates from me" into careeradvancing insights, and why this simple hack is changing how teams communicate their real impact.
Your go-to daily standup agenda and how to actually make it work
Discover how to run daily standup meetings that actually drive results. Learn the meaning of a standup meeting, see classic and modern agenda examples, and explore best practices for team standups.
How to use AI Memory in Claude desktop (and why It changes everything)
Explore how prototypes lay the foundation for longterm memory in AI. Learn why early experiments, iteration, and design “blueprints” are critical for building durable, contextrich intelligence.
Prototypes: the glue of Long-Term Memory
Explore how prototypes lay the foundation for longterm memory in AI. Learn why early experiments, iteration, and design “blueprints” are critical for building durable, contextrich intelligence.
Why developers need AI that actually gets Their context
Tired of reexplaining your codebase to AI every week? Discover why developers need contextaware AI that remembers your workflow. Learn how Workstream Activity, Sources, and Time Ranges in Pieces give you control, continuity, and a searchable memory for your entire dev process.
AI memory explained: what Perplexity, ChatGPT, Pieces, and Claude remember (and forget)
Discover the different types of AI memory, how they work, key use cases, and the best prompting approaches to get accurate, contextaware responses
From Browser to IDE: how to carry context seamlessly with Pieces
iscover how Pieces helps developers carry context seamlessly across browser, IDE, CLI, and desktop. From snippet capture to Copilotpowered reuse, learn how to eliminate lost time, preserve continuity, and stay in flow throughout your workflow.
How to maximize your developer flow with Pieces
Tired of losing focus while coding? Discover how Pieces helps you stay in flow, remember what matters, and move faster from idea to execution.
From autocomplete to context: The real story of AI code completion in 2025
Explore the best AI code completion tools of 2025. Honest reviews of Pieces, Codeium, Copilot, Windsurf, ProxyAI, and Augment for real workflows.
Back to school: the best AI programming languages to learn first
AI isn’t a specialty anymore, it’s the foundation of modern software. In this guide, Ali breaks down the best programming languages for AI in 2025 and how your choice can make or break speed, workflow, and realworld result
10 Questions no other AI tool can answer #OnlyInPieces
Discover 10 questions no other AI can answer because only Pieces layers true memory and context across your work. OnlyInPieces
How to write code documentation fast
Why traditional documentation breaks down and how long term memory systems are changing how we preserve and transfer engineering knowledge.
Seed Diffusion: racing LLMs into a parallel future
Seed Diffusion explores how we’re pushing large language models toward a parallel future where AI learns faster, works smarter, and opens doors to entirely new possibilities
How does gpt-oss compare to Gemma 3n architecture?
Inside our ML team’s weeklong debate on OpenAI’s newly opensourced GPTOSS models versus Google’s Gemma3N architecture, from kernels and quantization tricks to efficiency, multimodality, and the quiet arrival of local AI’s future.
From IDE to deployment: 9 Best AI tools for Python
We put the top AI tools for Python coding to the test, not just to see which writes code the fastest, but which actually feels good to use, fits into your workflow, and makes building in Python more enjoyable.
Beyond the cloud: SLMs, local AI, agentic constellations, biology and a high value direction for AI progress
We’ve all heard it — “the future of AI is in the cloud.” But the real story is that the future might be smaller, closer, and more personal. From Small Language Models (SLMs) to localfirst AI, agentic constellations, and even bioinspired designs, the next big leap in AI isn’t about scale. It’s about building smarter, faster, more private tools that actually work for you.
Someday is already here
Local AI isn’t a distant dream, it’s already here. From nanomodels running offline to industrywide shifts toward privacyfirst architecture, discover why real breakthroughs are happening ondevice, not in the cloud.
NVIDIA, SLMs, and why small might just be the future of AI (again)
NVIDIA is betting big on Small Language Models (SLMs), and at Pieces, we've been building for this future all along. Learn how nano models, local inference, and smarter AI architecture are reshaping the landscape
How Pieces MCP and Long-Term Memory are gaining momentum in dev community
Pieces’ MCP and longterm memory are quietly becoming goto tools for developers who want smarter, privacyfirst AI that just works in the background.
Most people don’t think about tokens, and honestly, should they?
Most people don’t think about tokens, and maybe they shouldn’t. But the way we use AI today has real implications for energy, cost, and the future of software. Here's why localfirst AI matters.
5 Best AI assistants in 2025 and how to choose the right one
Explore the top AI assistants redefining productivity in 2025 – which tools actually deliver and how to choose the right one for your workflow, team, or daily routine.
Too much of a good thing: how chasing scale is stifling AI innovation
Discover how AI’s obsession with scale led to a research monoculture, stifling innovation after ChatGPT’s success. Can we escape the Great Amnesia?
AI Security in a cloud-dominated world starts here
Discover why AI security is no longer optional in a cloudfirst world. Learn what matters most in 2025, whether you're protecting customer data, source code, or internal systems and how to navigate emerging threats without drowning in complexity.
Enterprise AI adoption isn’t a tech problem. It’s a trust problem
Enterprise AI doesn’t fail because of the tech. It fails because people don’t trust it. Let’s fix that.
How I write documentation at Pieces
Learn about a realworld use case for using AI tools to write production documentation from soup to nuts: voicetotext, thoughtprocess checks, and assisted structuring all the way to a finished piece of effective, thoughtful technical writing
The rise of on-device AI and the return of data ownership
Discover how ondevice AI is reshaping the tech landscape by prioritizing privacy, speed, and user control, marking a powerful shift toward true data ownership and away from cloud dependency.
A different perspective on prompt evaluation
Learn what prompt evaluation is, why it matters in AI development, and how to systematically assess prompt quality to improve performance, accuracy, and reliability across use cases
AI knowledge management: smarter ways to capture, organize, and use Information
Is AI memory that way ahead for effective building and shipping of software? In this article we will cover how artificial intelligence can help in knowledge management.
Building an AI Agent that thinks and grows with you
Build an AI agent that remembers, reasons, and adapts alongside you. Learn stepbystep workflows, memory architecture, and bestpractice tooling to create truly intelligent systems.
What is Red teaming in AI: a complete guide to AI security testing
Discover what red teaming in AI really means. This complete guide explains how AI red teaming works, why it's essential for security testing, and how organizations use it to identify vulnerabilities and strengthen AI safety.
Investigating LLM Jailbreaking: how prompts push the limits of AI safety
Explore the concept of LLM jailbreaking: how users bypass safety guardrails in language models, why it matters for AI safety, and what it reveals about the limits of control in modern AI systems.
Claude fine-tuning: a complete guide to customizing Anthropic's AI model
Learn how to finetune Claude, Anthropic’s AI model, with this comprehensive guide. Explore customization strategies, use cases, and best practices for tailoring Claude to your organization’s needs.
How to evaluate AI: a practical guide for building trustworthy systems
AI systems don't behave like traditional software, so they shouldn't be evaluated like it. Learn how to assess accuracy, safety, reliability, and usability in realworld workflows, plus how Pieces helps teams track what matters.
What is AI reasoning? And why do new models get more reasoning updates
AI reasoning goes beyond pattern recognition, it's about simulating logical thinking, decisionmaking, and inference. Learn why newer AI models prioritize reasoning updates and what this means for realworld performance.
The Pieces approach for AI fluency
Discover the Pieces Framework for AI Fluency – a practical, humancentered approach to developing the mindset and habits needed to work effectively with intelligent tools
What are large language models? A technical breakdown
Explore the technical foundations of large language models (LLMs), including how they work, their architecture, training methods, and realworld applications
Understanding the difference between AI Agents vs. AI Assistants
Learn what sets AI agents and AI assistants apart, and why that difference matters for designing smarter, safer systems. Discover best practices with Pieces.