The Operating System for AI-Native Teams
Neptor connects roadmap, architecture, repository context, team activity, and release memory so intelligent agents can work with the full picture.
A calm editor surface with the agent and product memory in reach
The full screenshot is dense by nature, so the homepage now shows it as a contained product preview instead of forcing it to carry the whole first screen.
Built for the way serious teams actually ship.
Neptor gives product people, engineers, and AI agents the same operating picture: what to build, how the system works, what changed, and what should be remembered.
Every model. One workspace.
Route product planning, architecture reasoning, code edits, reviews, and release prep to the right frontier model without moving context between tools.
Faster product-to-code loops
Turn scope into implementation plans, patches, tests, and release notes without restarting the conversation every time.
Inbuilt agent skills
Refactor, test-gen, review, docs, migrate, deploy, and debug are explicit workflows with clear outputs.
Full product and code memory
Roadmaps, PRDs, architecture, APIs, file graph, code style, decisions, risks, and release learnings stay available to every future agent run.
Agent-aware delivery
Every meaningful run can leave a branch, diff, tests, review summary, release context, and a clean rollback path.
System map beside the editor
Services, data contracts, dependencies, architecture notes, and operational risks stay close to the files being changed.
Agents that do the actual work
Skills are deterministic, composable, and reviewable. They give agents clear jobs inside the engineering workflow instead of leaving everything to a vague prompt.
Restructure code safely while preserving behavior, style rules, and architectural intent.
The right model for every step of the work.
Route each task to the best model for quality, cost, and speed - not one model for everything.
Deep planning
Use stronger reasoning models for product strategy, architecture tradeoffs, and complex implementation plans.
Code execution
Send repo-aware edits, refactors, test generation, and review passes to the model that best matches the task.
Fast lookup
Route summaries, memory search, and short answers to faster models so the workspace stays responsive.
Final verification
Escalate risky changes to stronger review models before release notes, deploy context, or handoff summaries ship.
Neptor chooses the model path around intent, context size, latency, and risk, while keeping product memory attached to the task.
Six clicks from product context to shipped work.
The tour advances automatically, but every step is clickable. Each stage shows how Neptor keeps planning, memory, architecture, team activity, and release execution connected.
Editor + repo memory
Neptor writes durable project context into the codebase itself, so product understanding, architecture notes, and active task memory survive across sessions and teammates.
A complete product system, not a feature bolted onto an editor.
Existing AI tools usually start at the prompt. Neptor starts at product intent, carries that intent through engineering, and preserves what happened as memory. That creates a closed loop from idea to production.
Product layer
Neptor starts before code. It captures the product bet, roadmap, requirements, workflows, risks, and decisions so the team knows what should exist and why.
Developer layer
Neptor then moves into execution. The editor gives agents repo context, architecture awareness, file access, review loops, and release preparation.
Memory layer
The difference is continuity. Product, code, architecture, APIs, docs, activity, and releases become a maintained memory that improves every future agent run.
Planning, coding, and memory compound together.
A roadmap without code context goes stale. An editor without product context guesses. A memory layer without execution is just documentation. Neptor combines all three so teams can plan, build, review, release, and learn inside one system.
Start with memory. Scale into the full AI workspace.
Simple plans for builders, product engineers, and teams that want one workspace for planning, coding, and release context.
Builder
For solo builders and early product exploration.
Pro
For founders and product engineers shipping weekly.
Team
For teams that need shared context and delivery visibility.
Build with product memory from day one.
Join teams using Neptor to connect product planning, code execution, and release context.