Pieces for Developers vs RightNow AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Pieces for Developers | RightNow AI |
|---|---|---|
| Core Focus | OS-level memory layer capturing code, chats, docs | GPU kernel editor with AI autocomplete, profiling, emulation |
| Key Feature | LTM-2.5 on-device memory with natural language search | Forge CLI auto-optimizes kernels (2-14x speedup) |
| Integrations | Chrome, VS Code, JetBrains, GitHub Copilot, Cursor, Claude | Ollama, vLLM, LM Studio, OpenRouter, NVIDIA NCU |
| Best For | Developers context-switching between tools, team onboarding | GPU kernel developers, ML engineers optimizing inference |
| Local LLM Support | Yes: on-device LTM-2.5 engine (nano-models) | Yes: Ollama, vLLM, LM Studio |
If you write CUDA/Triton kernels and need AI-aided profiling, benchmarking, and code generation, RightNow AI is a no-brainer. If your pain is losing context across apps and needing an automatically searchable history of your work, Pieces for Developers is the pick. They solve fundamentally different problems, so choose based on whether you optimize GPU code or your personal workflow.
Pieces for Developers is an on-device AI memory layer that captures your work every 2 seconds for instant recall and MCP piping.
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RightNow Agent is a Rust terminal coding agent with signed native installers and a RunInfra coding plan from $10/mo.
Visit WebsiteWhat real users say: Pieces for Developers vs RightNow AI
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Pieces for Developers
59 mentions across 3 sources · 58% positive — mixed (averaged across 3 sources)
YouTube, Product Hunt, Lemmy
What users praise
- • Automatic capture creates a searchable memory without manual logging.
- • MCP server integration feeds context into Claude, Cursor, Codex, and more.
- • Privacy-first design with on-device storage and granular controls.
- • Audio capture for meetings transcribes and stores call decisions.
What frustrates them
- • Constant capture may raise privacy concerns for sensitive work.
- • Performance overhead from capturing every 2 seconds could be an issue.
- • Primarily desktop; mobile capture is missing for on-the-go users.
- • Learning curve to configure privacy controls and integrations.
Researched Aug 24, 2026
RightNow AI
No verifiable community signal. We scanned public discussion on Jul 3, 2026 and found posts matching the name “RightNow AI”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.
Who should pick which
- GPU kernel developer optimizing CUDA kernelsPick: RightNow AI
RightNow AI provides real-time NCU profiling, automated benchmarking, and Forge CLI for automatic optimization, directly accelerating kernel development.
- Developer who constantly loses context across appsPick: Pieces for Developers
Pieces captures everything automatically, enabling natural language search across code, chats, and docs to retrieve past context instantly.
- ML researcher porting models to custom Triton kernelsPick: RightNow AI
RightNow AI supports multi-DSL including Triton, with emulation across architectures and performance comparison, ideal for non-CUDA GPU programming.
- Team onboarding new members who need historical contextPick: Pieces for Developers
Pieces' searchable timeline and scheduled summaries help new hires catch up on past decisions without interrupting teammates.
- HPC developer on NVIDIA hardware needing multi-GPU analysisPick: RightNow AI
RightNow AI Pro allows comparison of up to 6 GPUs, and the GPU emulator enables testing on architectures without physical hardware.
Frequently Asked Questions
Pieces for Developers vs RightNow AI: which should you choose?
If you write CUDA/Triton kernels and need AI-aided profiling, benchmarking, and code generation, RightNow AI is a no-brainer. If your pain is losing context across apps and needing an automatically searchable history of your work, Pieces for Developers is the pick. They solve fundamentally different problems, so choose based on whether you optimize GPU code or your personal workflow.
Do I need a GPU to use RightNow AI?
Not necessarily; the GPU emulator (Pro) supports 50+ architectures without physical hardware, but for real-time profiling you need NVIDIA hardware with NCU.
Can Pieces for Developers capture from terminal or command line?
Pieces captures from over 25 apps; while not explicitly listed, it likely includes terminal emulators like iTerm2 or Windows Terminal via app-level capture.
Does RightNow AI support AMD GPUs?
Based on the data, RightNow AI focuses on NVIDIA hardware and uses NVIDIA NCU profiling; AMD support is not mentioned.
Is Pieces memory stored in the cloud?
By default, memories stay on-device. Cloud sync may be available in paid tiers, but the free tier is local.
Can RightNow AI optimize PyTorch code directly?
Yes, the Forge CLI can auto-generate optimized CUDA or Triton kernels from PyTorch code, achieving speedups.
Does Pieces require an internet connection?
No, the LTM engine runs on-device, so it works offline. Audio capture summaries may need internet for transcription, but core memory works offline.
Which tool is better for a solo developer building a side project?
If the project involves GPU kernels, RightNow AI; if it involves context-switching and remembering past code, Pieces. They serve different needs.
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Last reviewed: July 30, 2026