Product
ContextMemory is a context pipeline that feeds your AI the memory it needs—across code, chat, and documents.
Code Context Enhancement
Share file trees, conventions, and architecture so models place code correctly and reuse your helpers.
Chat Context & Awareness
Maintain conversation history, entity memory, and policies to keep responses coherent and on-brand.
Integrations
Connect repos, doc stores, and vector indices. Fine-tune what is shared, with privacy and audit controls.
API & Governance
Push/pull context programmatically. Control PII, redact secrets, and log access for compliance.
Developer-Friendly API
Programmatically attach relevant context snippets to model prompts. Log access and redact sensitive data.
POST /v1/context/attach
{
"source": "repo:github/my-org/my-app",
"paths": ["features/auth/**", "lib/api-client.ts"],
"summary": "Auth flow conventions, error format, API client"
}