Notes on multi-agent orchestration.
Deep dives on goal-driven task DAGs, mixed-model teams, and the TypeScript agent ecosystem. Cross-posted from dev.to.
Give Your TypeScript AI Agents Long-Term Memory with TencentDB-Agent-Memory
Wiring open-multi-agent's MemoryStore to TencentDB-Agent-Memory through its Hermes Gateway: a measured cross-run memory loop, and two upstream gotchas that decide whether anything gets stored.
Goal-Driven Agent Orchestration vs Explicit Graphs: A TypeScript Framework Taxonomy
Most multi-agent framework reviews compare features. This post compares a different axis: where the framework places the decomposition cost. Goal-first frameworks pay it at runtime in tokens; graph-first frameworks pay it at design time in code.
5 walls multi-agent frameworks hit: receipts from Mastra's year of .network() to Supervisor migration
Mastra spent a year migrating .network() to the Supervisor pattern. 5 engineering walls hit (context, routing, observability, nesting, performance), 18 GitHub issues as receipts. What it means for TypeScript multi-agent framework development.
How to Run a Mixed-Model AI Agent Team in TypeScript?
A practical walkthrough from a single-model team baseline to a mixed-provider production setup with live cost and latency monitoring, using open-multi-agent, the TypeScript-ecosystem answer to CrewAI.
Adding Multi-Agent Orchestration to a Vercel AI SDK App
Add multi-agent orchestration to an existing Vercel AI SDK app: the AI SDK streams tokens and talks to models while open-multi-agent's runTeam() decomposes the goal and coordinates the agents — sharing a single Next.js API route.