Rath-Team/OpenRath

Health v2 · maintenance only

Flags: young

Adoption not part of the score

1097 stars · 50 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OpenRath is a PyTorch-like Python framework for building dynamic multi-agent and multi-session workflows. It models runtime state as explicit composable objects (Session, Sandbox, Memory, Tool, Agent, Workflow, Selector) with traceable lineage and sandboxed tool execution.

Use cases

• build multi-agent systems with branching sessions
• orchestrate LLM agents with durable memory across runs
• run agent tools in sandboxed execution environments
• route between workflows dynamically with an LLM-backed selector
• audit and resume long-running agent tasks with full lineage
• compose agents and workflows like software modules
• build agents using OpenAI or Anthropic models

When to choose

• you need many collaborating agents with branchable, inspectable session state
• you want durable memory and sandboxed tool execution in one runtime
• you prefer a composable, PyTorch-style API for agent workflows
• you need provenance and auditability of every tool call and state change

When to avoid

• you only need a simple single-agent chat loop
• you want a mature, battle-tested framework with a large ecosystem
• you are not working in Python
• you need a no-code or UI-driven agent builder

Facets

framework · maturity active

agent-framework workflow-automation mcp llm-inference sdk large-language-models developer-tools python cross-platform multi-agent session-graph sandboxed-execution agent-memory torch-like-api workflow-orchestration provenance openai anthropic ai-agents automation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Rath-Team/OpenRath")