Engineering memory
for teams building with AI.

Nucipal captures the reasoning behind AI driven engineering work
and links it to the code, tickets, docs, logs, and discussions that prove it.

See how it works

The Problem

The context behind engineering work is not captured.

AI work

CREATES NEW CONTEXT

Engineers use AI tools to debug, investigate, refactor, and plan. Those interactions often contain the clearest record of why a path worked.

Code

SHOWS WHAT EXISTS

Repositories show the current system, but not the investigation, failed approaches, constraints, and decisions that led to the change.

Docs

DRIFT FROM REALITY

Architecture notes, runbooks, and decisions become less useful when they are not connected back to the active work that changes the system.

Teams

LOSE THE THREAD

Important engineering knowledge ends up split across agent tools, PRs, issues, chat, and docs. Future work starts without the full story.

The Platform

A memory layer for
engineering context.

Engineering Graph

Map services, files, owners, tickets, incidents, decisions, docs, and agent work into a model of how the system changes.

Agent Work Ingestion

Capture the prompts, retrieved context, commands, errors, decisions, and outcomes created while engineers work with AI tools.

Evidence Linking

Connect every useful insight back to the code, pull requests, tickets, docs, logs, and discussions that support it.

Temporal Context

Track when an assumption was true, what changed after it, and which older facts should no longer guide future work.

Context Retrieval

Combine exact terms, semantic similarity, graph relationships, and recency to return the evidence a question or change needs.

Permissioned Delivery

Serve compact, cited context to IDEs, MCP clients, review workflows, Slack, and internal tools while respecting source permissions.

How It Works

Build memory from the work already happening.

Nucipal connects AI tool activity with code, docs, tickets, and chat so every answer can carry the evidence behind it.

01

CAPTURE

Ingest AI tool activity, code changes, tickets, docs, logs, and team discussions with source metadata and permissions attached.

02

LINK

Connect reasoning, files, services, owners, incidents, decisions, and product areas into one verifiable engineering graph.

03

DISTILL

Separate durable decisions and reusable context from noise, while keeping the source trail available for inspection.

04

REUSE

Return cited memory to the next engineer, review, support case, or agent workflow so prior work can inform the next change.

Connects to your engineering stack

GitHubGitLabBitbucketSlackJiraLinearConfluenceNotionGoogle DriveMCPCodexClaude CodeCursorWindsurfCopilotCI / Code Review

Early Access

Make engineering
context reusable.

Nucipal keeps decisions, fixes, failed paths, and source evidence connected across the tools your team already uses, so the next question, review, or change starts with the right context.