ContextMemory · Increase AI Context Window

Empower Your AI with Full Context.
Unlock deeper understanding for code, chats, and documents.

Inject real-time repository, conversation, and document context into AI workflows—so your models produce outputs that actually fit your project and policies.

Code Context: Repo-aware generation
Chat Memory: Coherent dialogs
Documents: Long-context summarization
Governance: PII redaction & logs

with-contextmemory.ts

import { transformItem } from "@/lib/transform";
import { AppError, logger } from "@/lib/errors";
import type { Item } from "@/types/item";

// With ContextMemory — repo helpers, strict types, error handling
export function processItems(items: Item[]): Item[] {
  try {
    return items.map(transformItem);
  } catch (err) {
    logger.error("processItems", err);
    throw new AppError("TRANSFORM_FAILED");
  }
}

LLMs need context memory to produce outputs that fit.

Ground your AI with repository, conversation, and document memory to reduce hallucinations and increase reliability.

Wrong Folder Placement

AI creates files in the wrong directories without structure context. Prevent drift with repo memory.

Inconsistent Naming

Without conventions, outputs mix styles. Enforce your patterns with context-first workflows.

Redundant Code

Models re-implement helpers when they can’t see utilities. Share context, avoid duplication.

Broken Dependencies

Incorrect imports and paths arise without dependency graphs. Ground with precise context.

Use Cases

ContextMemory powers repo-aware code, coherent chat, long-context document reasoning, and more.

Code Generation

Repo-aware code that fits your architecture and style.

Chat Awareness

Coherent, on-brand conversations with full memory.

Document Understanding

Cross-file reasoning, extraction, and summaries.

Content Generation

On-brand content grounded in your sources.

Recommendations

Personalization from profiles and histories.

Workflow Automations

Reliable agents that respect state and tools.

How ContextMemory Works

Ingest your sources, curate precise memory, and deliver the right context at the right time.

Ingest

Connect repos, docs, and sources. We build a secure index of file trees, patterns, documentation, and deps.

Curate

Control what’s shared with token-aware summaries, relevance ranking, and redaction for privacy & compliance.

Deliver

Inject the right context at prompt time—improving placement, naming, and integration quality for your models.

Why context memory matters

Search engines and users both value clarity. This page uses descriptive headings, internal links to use cases and guides, and keyword-rich explanations for “context memory”, “context aware AI”, and “code context” to help your audience discover the right solution.

Code, chat, and documents

Most teams start with code generation, but the same approach strengthens chat assistants and document workflows. Grounding models in the correct memory reduces errors, enforces policy compliance, and shortens review cycles.

Frequently asked questions

Give your AI full memory context across code, chat, and documents.

Stop hallucinations and mismatched code. ContextMemory helps your models fit your project, not the other way around.

Empower Your AI with Full Context.Unlock deeper understanding for code, chats, and documents.