Production-Ready Open Source Agent Stack
A complete developer infrastructure for building AI agents that can reason, remember, and ship frontend code. Mastra handles agent orchestration and multi-step workflows, Cognee gives those agents persistent structured memory that improves over time, and Stagewise closes the loop by letting you visually iterate on the frontend your agents are building. The go-to stack for TypeScript developers and technical founders who want production-grade agents without paying for managed platforms or proprietary memory services.
The workflow — 3 agents in sequence
Agent orchestration and workflow engine
Open-source TypeScript AI agent framework by the Gatsby team. v1.0 January 2026. YC W25, $13M seed. Used by Replit, Salesforce, SoftBank and Factorial. Framework free, Mastra Cloud from $250/mo (USD).
Mastra defines the agent loop, tools, and multi-step workflow logic, then passes execution context and results into Cognee for persistent storage
Persistent memory and knowledge graph
Open-source AI memory platform for agents, using a hybrid graph and vector architecture and an ECL pipeline. $7.5M seed, Berlin. Python, TypeScript and Rust SDKs. Free tier, then usage-based from $2.50 per 1M tokens.
Cognee stores what the agent learns across sessions as a structured knowledge graph, feeding relevant context back into Mastra on each run so the agent gets smarter over time
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Find an implementation specialist →Some agents in this stack expose an MCP server
MCP (Model Context Protocol) is an open standard for connecting AI agents to tools and data. The agents that publish a server can be connected into directly by an AI assistant. The others act as clients, meaning they consume external tools rather than exposing their own, so those steps still need conventional integration.
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