# Preetham Reddy

> Preetham Reddy is Founder, TechFabric. Preetham has written 8 posts on the Fabric blog about how Fabric is built, covering AI, Orchestrator, RAG, Enterprise and MCP. They are listed below, newest first, each with its summary, date and reading time, and every one links back to this page.

Canonical: https://fabric.pro/blog/authors/preetham
Role: Founder, TechFabric

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## Posts

- [Building a Dynamic Agent Loop with Temporal: Durable Orchestration for Tools, Workflows, and Workspaces](https://fabric.pro/blog/building-dynamic-agent-loop-temporal) (2026-03-01): How Fabric's orchestrator became a Temporal agent loop with on-demand tool discovery, MCP, workspace retrieval and human approval steps.
- [How AI Agents Learn and Remember: Building a COALA-Inspired Memory System](https://fabric.pro/blog/agent-memory-system-how-ai-agents-learn-and-remember) (2026-01-16): How Fabric gives its agents and orchestrator memory across conversations. It uses four tiers, semantic search, automatic episodes and context injection.
- [Hybrid tool search in Fabric's orchestrator](https://fabric.pro/blog/intelligent-tool-search-orchestrator) (2026-01-15): When an agent can reach hundreds of tools, sending them all to the model wastes tokens. This is how Fabric picks the right few with keyword and meaning search.
- [Building a Production-Grade Database-Driven AI Model Selection System](https://fabric.pro/blog/ai-model-selection-gateways-providers-routing) (2026-01-12): How Fabric moved every AI model choice into the database, with tenant isolation, provider routing per task and no model names hardcoded anywhere.
- [Deep Dive: How Fabric AI's RAG Architecture Reads Enterprise Knowledge](https://fabric.pro/blog/deep-dive-rag-architecture-document-intelligence) (2026-01-05): How Fabric extracts documents, chunks them by meaning, embeds them in Qdrant and retrieves with reranking, so agents answer from a team's own data.
- [Introducing Fabric AI: The Enterprise Platform for SDLC Compression](https://fabric.pro/blog/introducing-fabric-ai-sdlc-compression-platform) (2026-01-04): Why Fabric exists: documents, tickets and decisions scattered across tools slow every release. How retrieval, agents and durable workflows shorten it.
- [Understanding Fabric Agent Types: Orchestrator, Composable, and Custom Agents](https://fabric.pro/blog/understanding-fabric-agent-types) (2026-01-03): A guide to the three kinds of AI agent in Fabric, when to use each, how they work, and practice for building systems of several agents.
- [Building the Fabric Orchestrator with Temporal](https://fabric.pro/blog/fabric-orchestrator-temporal-multi-agent-orchestration) (2026-01-02): Fabric's orchestrator runs on Temporal. It routes work between agents, survives restarts, remembers past runs and asks people at the right moment.