Loom

Teradata · Teradata.Loom

LLM agent framework with natural language agent creation

Loom is a Go framework for building autonomous LLM agent threads with natural language agent creation, pattern-guided learning, and multi-agent orchestration. It includes: - Natural language agent creation via the weaver meta-agent - Multi-agent orchestration with 6 workflow patterns - 90+ reusable patterns across 16 domains - 8 LLM provider integrations (Anthropic, Bedrock, OpenAI, etc.) - Multi-modal support (vision, document parsing) - Built-in judge evaluation system with DSPy integration - Self-improving agents with pattern proposal capabilities - Real-time streaming and complete observability

winget install --id Teradata.Loom --exact --source winget

Latest 1.0.2

Release Notes

Installer type: zip

Architecture Scope Download SHA256
x64 — Download 33D2D3C5F83D0EB04B1318225B4E1C891405D554BC86D4168E4B5DD53E30FBC3

Details

Homepage
https://github.com/teradata-labs/loom
License
Apache-2.0
Publisher
Teradata
Support
https://github.com/teradata-labs/loom/issues
Moniker
loom

Tags

aillmagentsanthropicclaudeopenaiautomationgolangframeworkmulti-agentorchestration