{"repo":"fundamental-research-labs/langdag","free":true,"listed":false,"github":"https://github.com/fundamental-research-labs/langdag","clone":"git clone https://github.com/fundamental-research-labs/langdag.git","description":"High-performance tool for managing LLM conversations and workflows as DAGs.","language":"Go","stars":29,"topics":["ai","cli","conversation","dag","langchain","langfuse","llm","prompt-engineering","prompt-management","self-hosted"],"license":"MIT","category":"ai-agents","readme_excerpt":"LLM Conversations as Directed Acyclic Graphs Features • Go Library • Installation • CLI • API & SDKs • Roadmap --- Why LangDAG? LangDAG is a high-performance Go tool that persists LLM conversations as directed acyclic graphs. Branch from any point, explore alternative paths, and maintain full conversation history. Key insight: A conversation is a DAG—it just grows incrementally. --- Features Feature Description --------- ------------- ⚡ Performance Pure Go, 1ms overhead, single static binary, zero runtime deps 🌊 Native Streaming SSE streaming with real-time token delivery 🌳 Conversation Forking Branch from any node, explore alternative paths 🏷️ Node Aliases Human-readable names for any node 🔄 Auto Retry Exponential backoff for transient LLM failures 💾 Persistent Storage SQLite with WAL mode, full history replay 🔧 Tool Use First-class tool definitions with tool use/tool result flows 🌐 Multi-Provider Canonical model routing across Anthropic, OpenAI, Gemini, Grok, OpenRouter, Ollama, Azure, Vertex AI, and Bedrock deployments --- Use as a Go Library LangDAG is available as an importable Go package for building AI agent applications with persistent conversation storage. Basic Usage Deployment-Aware Routing The request targets a canonical model ID. LangDAG resolves it to an eligible deployment offering, passes the deployment's native model ID to the adapter, and records served identity, normalized usage, pricing snapshot, and provider exact cost metadata when available. Prov","default_branch":null,"files":null,"tree":[],"storefront":"/r/fundamental-research-labs","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/fundamental-research-labs/langdag/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}