Continuity infrastructure for AI-assisted engineering.
Resumable workflows, persistent memory, and durable project knowledge—designed as one system so complex work can continue without reconstructing its context from scratch.
View public source ↗01 · Brief
Complex engineering work rarely fits inside one chat, one agent, or one uninterrupted session. Decisions disappear, partial work loses its operating context, and the next agent is forced to rediscover what the previous one already learned.
Saguaro treats continuity as infrastructure: execution state, durable lessons, and project knowledge remain available across sessions and supported harnesses.
02 · What I owned
Designed the product model and boundaries between workflow, memory, and knowledge; built the shared TypeScript core and three MCP servers; created project-local configuration, cross-harness marketplace artifacts, installation tooling, bundled workflows, documentation, and validation suites.
03 · The system
Preserves phase state, artifacts, approval gates, validation results, and the exact workflow definition needed to resume safely.
Captures lessons and observations at run, project, and global scope, with deliberate promotion between lifecycles.
Stores and retrieves document-scale decisions, specifications, and research through ranked semantic chunks and optional synthesis.
04 · Decisions that mattered
Lessons and full documents have different lifecycles, scopes, and retrieval behavior.
Runs retain phase state, gates, artifacts, and a snapshot of their workflow.
Approval gates cannot be cleared by an agent claiming approval; contracts validate required artifacts and context calls.
Sensitive material is removed before local storage or embedding.
05 · Outcome
Saguaro is live and used selectively on complex private projects where work spans sessions, agents, and approval boundaries. It preserves the state, lessons, and durable knowledge needed to continue without rebuilding project context from scratch.
The hard part is not making agents more autonomous. It is giving that autonomy durable context and visible boundaries.