Expose local Ollama models as MCP tools for NanoClaw agents.
npx skills add https://github.com/reasonlayer/rl-agent --skill add-ollama-tool-reasonlayer
Please help me install this Agent Skill. Skill: add-ollama-tool Source: https://github.com/reasonlayer/rl-agent/tree/main/.claude/skills/add-ollama-tool Command: npx skills add https://github.com/reasonlayer/rl-agent --skill add-ollama-tool-reasonlayer
Enables running local Ollama models inside the container agent by exposing an MCP server as tools, reducing cloud dependency and latency.
Enable Ollama integration and prompt the agent to call ollama_generate with a chosen model to answer a user task.
High-intent search queries and answers about installing and using this skill.
To run local Ollama models inside a container agent, enable this MCP integration which exposes ollama_list_models and ollama_generate tools to query the host's Ollama instance for on-device inference.
Yes, you can use a container agent for offline inference to reduce cloud dependency by routing queries through Ollama tools exposed via MCP, enabling fast, private summarization and translation tasks locally.
You connect a Docker container agent to a host Ollama instance by overriding the OLLAMA_HOST environment variable, allowing the containerized agent to reach the host's local model serving endpoint.
Yes, the Ollama MCP integration supports listing available local models through the ollama_list_models tool, allowing the agent to query and select from models hosted on the Ollama instance.
Limitations of running local inference within NanoClaw include relying on the host Ollama instance's available models and hardware, requiring proper OLLAMA_HOST configuration for container connectivity.
jeffreykthomasExpose on-host Ollama models to NanoClaw agents via an MCP server.
theowenyoungExpose local Ollama models to container agents via MCP tools.
VincentChong123Manage channel adapters, MCP tools, and container configurations for NanoClaw agents.
datathingsReference the llama.cpp C API for model loading and inference workflows.
