Structured context management for AI-assisted development. Ingest, organize, and deliver the right context to the right tool at the right time.
Structured, versioned context records with metadata, tags, and relationships. Not documents — curated, machine-readable knowledge.
Vector-based semantic retrieval across your entire context library. Find related decisions, patterns, and conventions by meaning, not keywords.
Track code artifacts — files, classes, functions — and their relationships. Automatic annotation and dependency mapping.
Group related contexts into lockable, summable collections. Create snapshots, infer relationships, and generate rollups automatically.
Isolated workspaces with namespaced context. Partner API for provisioning, token management, and usage tracking.
Receive platform events to keep context synchronized. Automatic context capture from change requests, requirements, and deployments.
/api/contexts
List and search context records with filtering, pagination, and tag queries.
/api/contexts
Create a new structured context record with metadata, tags, and relationships.
/api/search/semantic
Vector-based semantic search across all contexts. Returns ranked results by relevance.
/api/artifacts/bulk
Bulk register code artifacts with their types, paths, and relationships.
/api/collections
Manage context collections — group, lock, snapshot, and summarize related contexts.
/api/capture
Capture and ingest raw content — automatically extracts entities and generates embeddings.
Code, docs, decisions, patterns
Extract entities, relationships, metadata
Relational + vector dual storage
Right context, right tool, right time