{"id":"disler-nano-agent","name":"nano-agent","af_score":51.8,"security_score":37.8,"reliability_score":35.0,"what_it_does":"nano-agent is an MCP server that exposes a small set of file-system tools to agent clients, and provides a CLI for running agent workflows across multiple LLM providers (OpenAI, Anthropic, and local Ollama models). It is designed to support “nested” agent execution (MCP client/outer agent calls a single MCP tool, which orchestrates internal agent/tool usage).","best_when":"You want an MCP tool-backed agent workflow for local or controlled environments where file operations are acceptable, and you need multi-provider model switching and evaluation tooling.","avoid_when":"You need a stable, documented HTTP/REST API for third-party integration, or you require strict secret isolation/auditable policy enforcement around filesystem access.","last_evaluated":"2026-03-30T13:37:57.136503+00:00","has_mcp":true,"has_api":false,"auth_methods":["Environment variables for provider API keys (OPENAI_API_KEY, ANTHROPIC_API_KEY) as described in README","Local Ollama usage via local service (ollama) without cloud API key mentioned"],"has_free_tier":false,"known_gotchas":["File operations require correct paths and can overwrite existing content (especially write_file/edit_file).","When using local Ollama models, the model must be pulled/available in the Ollama environment before running.","Provider selection may depend on model naming/provider auto-detection; mis-specified provider/model names could lead to failures.","Security expectations around filesystem access/sandboxing are not described in the README."],"error_quality":0.0}