RLM Runtime
Open SourceSandboxed Code Execution for LLMs
RLM Runtime enables LLMs to recursively decompose tasks, execute real code in isolated environments, and retrieve context on demand. Instead of simulating computation in tokens, the model executes actual code—cheaper, more reliable, and auditable. Includes MCP server for Claude Desktop/Code integration.
Key Features
Everything you need to get the most out of RLM Runtime.
Recursive Completion
LLMs can spawn sub-calls, execute code, and aggregate results.
Sandboxed REPL
Local RestrictedPython or Docker isolation for secure code execution.
MCP Server
Claude Desktop/Code integration with multi-project support.
Multi-Provider
OpenAI, Anthropic, and 100+ providers via LiteLLM.
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