TanStack
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router
TanStack Router is a type-safe, data-driven React router with built-in caching, prefetching, and nested layouts, while TanStack Start extends it into a full-stack SSR framework.
financial-agent-api
AgentStack is a production-grade AI agent platform built on Mastra that provides 57 enterprise tools, 25+ specialized agents, 10+ workflows, 12+ supervisor networks, and 105 UI components for building scalable, observable multi-agent systems.
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2026-07-14
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It combines supervisor networks with delegation hooks, financial intelligence from 30+ endpoints, zero-config RAG with LibSQL, full observability via Langfuse, 97% test coverage, and 105 UI components, making it enterprise-ready out of the box.
Who it is for
- AI engineers building multi-agent systems
- Financial analysts requiring real-time market data and automated analysis
- Enterprise teams needing secure, observable AI deployments
- Developers creating AI-powered applications with rich UI components
Use cases
- Real-time financial analysis platform (Polygon, Finnhub, AlphaVantage)
- Enterprise knowledge base with semantic RAG and document ingestion
- AI coding assistant with multi-agent code review, testing, and refactoring
- Content creation studio for multi-format content generation and SEO optimization
Strengths
- 57 enterprise tools, 25+ agents, 10+ workflows, 12+ supervisor networks
- 97% test coverage with comprehensive mocks and type safety via Zod schemas
- Full observability with default tracing and Langfuse integration
- 105 UI components (50 AI Elements + 55 base) with TanStack Query hooks
Considerations
- The Harness multi-mode orchestration is in alpha; APIs may change without notice
- Requires Node.js >=20.9.0, which may not be available in all environments
- Heavily integrated with specific LLM providers (Gemini, OpenAI, Anthropic) and Mastra ecosystem, potentially limiting flexibility
README quick start
AgentStack is a production-grade AI agent platform built on Mastra, delivering 57 enterprise tools, 25+ specialized agents, 10+ workflows, 12+ supervisor networks, 105 UI components (50+ AI Elements + 55+ base), and A2A/MCP orchestration for scalable AI systems. Features supervisor networks with delegation hooks, workspace management (AgentFS/Daytona/Local), TanStack Query integration, and LibSQL-backed persistence for agents, workspaces, supervisor networks, and auth. Focuses on financial intelligence, RAG pipelines, enterprise observability, secure governance, and AI chat interfaces.
🎯 Why AgentStack?
AgentStack bridges the gap between basic AI chatbots and enterprise-grade multi-agent orchestration. While other AI agent platforms offer simple automation, AgentStack delivers the observability, security, and scalability required for production deployment.
| Feature | AgentStack | Fleece AI | Botpress | Vellum AI |
|---|---|---|---|---|
| Production Observability | ✅ Real-time traces via TanStack + Langfuse ready | ⚠️ Basic | ⚠️ Basic | ✅ Partial |
| Dataset Management | ✅ **Full dataset/eval/experiment API with v |
Description
financial agent api with multi-agent framework for scalable AI systems focusing on financial intelligence, RAG pipelines, observability, and secure governance. ACP Openclaw, Gemini CLI, Opencode
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