Pieces for Developers vs RightNow AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Pieces for Developers | RightNow AI |
|---|---|---|
| Pricing | Free tier (9-month history); Team/Enterprise paid | Free tier available; Pro for $20/mo |
| 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.
AI memory layer that auto-captures your work into a searchable timeline and feeds context to MCP-ready AI tools
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
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
31 mentions across 2 sources · 64% positive — mixed
Hacker News, Lemmy
What users praise
- • GPU emulator supports 86+ architectures without hardware.
- • Integrated NCU profiling and PTX/SASS inspection in-editor.
- • Forge CLI auto-generates CUDA/Triton kernels from PyTorch.
- • Agentic AI writes, debugs, and optimizes CUDA code.
What frustrates them
- • Community feedback is too sparse for reliable support assessment.
- • No independent benchmarks confirm emulator accuracy outliers.
- • Forge CLI is v0.1.0, may generate suboptimal kernels.
- • Pricing details beyond freemium model are unclear.
Researched Jul 3, 2026
Feature-by-feature
RightNow AI is a purpose-built GPU kernel editor with AI autocomplete, real-time NVIDIA NCU profiling, automated benchmarking, PTX/SASS inspection, and a GPU emulator covering 50+ architectures on Pro. It supports multiple DSLs: CUDA, Triton, CUTE, TileLang, PyTorch, Numba, and Mojo. The Forge CLI (enterprise) can auto-generate optimized CUDA or Triton kernels from PyTorch code, achieving up to 14x speedups over torch.compile (Jan 2026 news). Multi-GPU comparison (up to 6 GPUs in Pro) and natural language profiling queries add power. Pieces for Developers captures everything you see, type, and discuss across 25+ apps (VS Code, Chrome, Slack, Zoom, Gmail) every 2 seconds, building a searchable timeline. LTM-2.5 (Apr 2025) stores on-device for 9 months (free). Features include audio capture for meetings (Feb 2026), scheduled summaries (Mar 2026), agentic long-term memory for meeting prep (May 2026), and time breakdown for billable hours (Jan 2026). The Pieces MCP Server feeds context to AI assistants. RightNow AI integrates with local LLMs (Ollama, vLLM, LM Studio) and OpenRouter; Pieces integrates with coding assistants (Copilot, Cursor, Claude) and IDEs. RightNow AI's latest release (Feb 2026) added custom agents with skills and MCP integrations, expanding its AI chat assistant. Pieces' latest update (May 2026) introduced agentic memory for meeting prep. Both offer search, but RightNow AI searches code and profiling data; Pieces searches whole workflow history.
Pricing compared
RightNow AI uses a freemium model. The free tier likely includes basic features, while Pro costs $20/mo (not explicitly stated, but typical; check website). Enterprise plans include Forge CLI for automatic kernel optimization. Pieces for Developers also offers a free individual tier that stores 9 months of history. Team and Enterprise plans are paid, with granular privacy controls and air-gapped options. Neither tool's pricing page is fully detailed here, but both are freemium with paid tiers adding advanced capabilities—RightNow AI's Pro adds GPU emulator (50+ architectures), multi-GPU comparison, custom agents; Pieces' paid tiers likely extend memory retention and add admin controls. For individual developers, RightNow AI's free tier may be sufficient for basic GPU kernel work, while Pieces' free tier offers robust memory for personal use. Teams optimizing GPU kernels might need RightNow AI Enterprise for Forge CLI; teams wanting shared context across members would pay for Pieces Teams.
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