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Context-Heavy.

Knowledge-Graph API for AI Agents

Context-Heavy — public product website captured September 2026Public product website · 2026
01 / The idea

Context-Heavy is a multi-tenant knowledge-graph API: store, traverse and query context about codebases, people and systems with pgvector.

Context-Heavy is a multi-tenant REST API that stores, traverses and queries context for AI agents as a knowledge graph. Backed by PostgreSQL + pgvector for semantic search, Redis for caching, recursive CTE graph traversal, JWT and Google OAuth for auth, and Terraform-managed AWS ECS Fargate deployment.

02 / What matters
  • 01

    Multi-tenant REST API for AI agent memory

  • 02

    pgvector semantic search + recursive-CTE graph traversal

  • 03

    JWT + Google OAuth authentication

  • 04

    Production AWS deployment via Terraform

71.2%Recall@10 · 304-question slice
60.1%nDCG@10 · same slice
Evidence / Scope

71.2% recall@10 and 60.1% nDCG@10 on a 304-question, two-conversation LoCoMo slice. Retrieval-only evaluation; this is not a full LoCoMo answer-quality result.

Shahriar Labs research notes ↗
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