Founder, TechFabric
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.
Posts by Preetham
- Building a Dynamic Agent Loop with Temporal: Durable Orchestration for Tools, Workflows, and Workspaces
How Fabric's orchestrator became a Temporal agent loop with on-demand tool discovery, MCP, workspace retrieval and human approval steps.
· 4 min read
- How AI Agents Learn and Remember: Building a COALA-Inspired Memory System
How Fabric gives its agents and orchestrator memory across conversations. It uses four tiers, semantic search, automatic episodes and context injection.
· 9 min read
- Hybrid tool search in Fabric's orchestrator
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.
· 5 min read
- Building a Production-Grade Database-Driven AI Model Selection System
How Fabric moved every AI model choice into the database, with tenant isolation, provider routing per task and no model names hardcoded anywhere.
· 15 min read
- Deep Dive: How Fabric AI's RAG Architecture Reads Enterprise Knowledge
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.
· 12 min read
- Introducing Fabric AI: The Enterprise Platform for SDLC Compression
Why Fabric exists: documents, tickets and decisions scattered across tools slow every release. How retrieval, agents and durable workflows shorten it.
· 12 min read
- Understanding Fabric Agent Types: Orchestrator, Composable, and Custom Agents
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.
· 4 min read
- Building the Fabric Orchestrator with Temporal
Fabric's orchestrator runs on Temporal. It routes work between agents, survives restarts, remembers past runs and asks people at the right moment.
· 17 min read