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    <description>Engineering notes from the team building Fabric, the open-source agent platform.</description>
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    <lastBuildDate>Sun, 01 Mar 2026 00:00:00 GMT</lastBuildDate>
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      <title>Building a Dynamic Agent Loop with Temporal: Durable Orchestration for Tools, Workflows, and Workspaces</title>
      <link>https://fabric.pro/blog/building-dynamic-agent-loop-temporal</link>
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      <pubDate>Sun, 01 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator>Preetham Reddy</dc:creator>
      <description>How Fabric's orchestrator became a Temporal agent loop with on-demand tool discovery, MCP, workspace retrieval and human approval steps.</description>
      <category>AI</category>
      <category>Temporal</category>
      <category>Orchestrator</category>
      <category>Agent Loop</category>
      <category>MCP</category>
      <category>Workflows</category>
      <category>RAG</category>
      <category>Multi-Tenant</category>
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    <item>
      <title>How AI Agents Learn and Remember: Building a COALA-Inspired Memory System</title>
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      <pubDate>Fri, 16 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator>Preetham Reddy</dc:creator>
      <description>How Fabric gives its agents and orchestrator memory across conversations. It uses four tiers, semantic search, automatic episodes and context injection.</description>
      <category>AI</category>
      <category>Agent Memory</category>
      <category>COALA</category>
      <category>Orchestrator</category>
      <category>Machine Learning</category>
      <category>Personalization</category>
      <category>Episodic Memory</category>
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    <item>
      <title>Hybrid tool search in Fabric's orchestrator</title>
      <link>https://fabric.pro/blog/intelligent-tool-search-orchestrator</link>
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      <pubDate>Thu, 15 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator>Preetham Reddy</dc:creator>
      <description>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.</description>
      <category>AI</category>
      <category>Orchestrator</category>
      <category>Tool Search</category>
      <category>BM25</category>
      <category>Semantic Search</category>
      <category>MCP</category>
      <category>Performance</category>
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      <title>Building a Production-Grade Database-Driven AI Model Selection System</title>
      <link>https://fabric.pro/blog/ai-model-selection-gateways-providers-routing</link>
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      <pubDate>Mon, 12 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator>Preetham Reddy</dc:creator>
      <description>How Fabric moved every AI model choice into the database, with tenant isolation, provider routing per task and no model names hardcoded anywhere.</description>
      <category>AI</category>
      <category>LLM</category>
      <category>Database Architecture</category>
      <category>Multi-Tenant</category>
      <category>OpenAI</category>
      <category>Anthropic</category>
      <category>Groq</category>
      <category>Cerebras</category>
      <category>Enterprise</category>
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      <title>Deep Dive: How Fabric AI's RAG Architecture Reads Enterprise Knowledge</title>
      <link>https://fabric.pro/blog/deep-dive-rag-architecture-document-intelligence</link>
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      <pubDate>Mon, 05 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator>Preetham Reddy</dc:creator>
      <description>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.</description>
      <category>RAG</category>
      <category>Vector Database</category>
      <category>Document Processing</category>
      <category>AI</category>
      <category>Technical</category>
      <category>Architecture</category>
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    <item>
      <title>Introducing Fabric AI: The Enterprise Platform for SDLC Compression</title>
      <link>https://fabric.pro/blog/introducing-fabric-ai-sdlc-compression-platform</link>
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      <pubDate>Sun, 04 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator>Preetham Reddy</dc:creator>
      <description>Why Fabric exists: documents, tickets and decisions scattered across tools slow every release. How retrieval, agents and durable workflows shorten it.</description>
      <category>AI</category>
      <category>SDLC</category>
      <category>RAG</category>
      <category>Enterprise</category>
      <category>Automation</category>
      <category>Document Intelligence</category>
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      <title>Understanding Fabric Agent Types: Orchestrator, Composable, and Custom Agents</title>
      <link>https://fabric.pro/blog/understanding-fabric-agent-types</link>
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      <pubDate>Sat, 03 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator>Preetham Reddy</dc:creator>
      <description>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.</description>
      <category>agents</category>
      <category>architecture</category>
      <category>multi-agent</category>
      <category>orchestration</category>
      <category>composable</category>
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      <title>Building the Fabric Orchestrator with Temporal</title>
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      <pubDate>Fri, 02 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator>Preetham Reddy</dc:creator>
      <description>Fabric's orchestrator runs on Temporal. It routes work between agents, survives restarts, remembers past runs and asks people at the right moment.</description>
      <category>AI</category>
      <category>Orchestrator</category>
      <category>Multi-Agent</category>
      <category>Temporal</category>
      <category>RAG</category>
      <category>Enterprise</category>
      <category>MCP</category>
      <category>A2A Protocol</category>
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