ReeveTech · Early Access Program

Context is the
new bottleneck.

AI coding agents are brilliant and amnesiac. ContextPlus gives them durable, project-scoped memory that automatically captures decisions, retrieves the right knowledge on every turn, and reconciles automatically over time.

Pre-launch · vetting a select group of AI engineering teams
// Corporate lineage ReeveTech builds ContextPlus, the persistent memory layer for AI-native engineering.

The Memory Loop · four layers

Memory that maintains itself.

An intelligent, deterministic pipeline that observes, selects, repairs, and governs memory handling.

Capture

01

An intelligent system extracts decisions and conventions automatically, maintaining its own internal documentation.

Retrieve

02

A retrieval system ensures that fabrication is minimized or impossible.

Evolve

03

Continuous pruning and resolving of stale or conflicting information.

Govern

04

Boundaries, scope, encryption at rest, and durable provenance for every memory.

Walk through the architecture

The status quo

Three broken workflows.

Every team using AI coding agents is quietly paying the same tax. ContextPlus is built to erase it.

Why ContextPlus
01

Re-explaining context

Architecture, naming, stack trade-offs, and "why-we-didn't-do-X" pasted into chats every session. Hours per week, per dev.

02

Agent amnesia

Long sessions compact. The summary keeps the topic but drops the reasoning, so the agent contradicts its own past choices.

03

CLAUDE.md sprawl

Hand-edited rules files grow exponentially, never get cleared, and choke the agent with stale standing instructions.

Early Access Program

Co-author the memory layer for
AI-native engineering.

Models are no longer the bottleneck; context engineering is. Get early access and help us validate real-world developer workflows.

Request Early Access

Stealth & individual developers welcome. Privacy is structurally guaranteed.