agente-local
Related Servers
Alternatives to agente-local
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables Claude to delegate coding tasks to local Ollama models, reducing API token usage by up to 98.75% while leveraging local compute resources. Supports code generation, review, refactoring, and file analysis with Claude providing oversight and quality assurance.464 npm26AGPL 3.0
- AlicenseAqualityCmaintenanceEnables Claude Code to offload routine code generation and text processing tasks to a local Ollama LLM, saving Cloud API tokens and costs with automatic model selection and security features.11281 npm3Apache 2.0
- AlicenseAqualityBmaintenanceEnables Claude Code to leverage local Ollama models for tasks like summarizing large files, reviewing diffs, semantic code search, and generating boilerplate or tests, while also supporting a fully offline mode.6MIT
- AlicenseNot gradedqualityCmaintenanceEnables Claude Code to offload bulk reading and first drafts to a local Ollama model on your GPU, and to draft weekly devlogs from merged pull requests.6 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables Claude Code to hand off bulk, mechanical, read-heavy tasks to a local model, including agentic loops that can read, write, and run commands sandboxed at zero cloud token cost.MIT
- AlicenseAqualityCmaintenanceEnables Claude Code to offload small coding tasks to local Ollama machines and free or paid AI providers, choosing the cheapest available option while enforcing quotas, budgets, and Claude's final review.11MIT
TDQS
Scored across 37 tools
Most tools have clearly distinct scopes (git_*, navegador_*, janela_*, índice de projeto), but three tools—pergunta_local, segunda_opiniao and pedir_ao_agente—all delegate to local models with overlapping intent, and three separate click tools (navegador_clicar, janela_clicar, tela_clicar) force the agent to infer which layer a button belongs to. The descriptions do help disambiguate, but an agent must read carefully before choosing. A single Maestro router plus two direct LLM tools is redundant surface.
Most names follow a readable Portuguese resource_action pattern (navegador_abrir, janela_ler, git_status, tela_clicar, contexto_projeto), but this is mixed with verb_noun forms (abrir_pr, abrir_app, ler_relevante, indexar_projeto, resumir_texto) and bare verbs/nouns (lembrar, falar, segunda_opiniao, relatorio_economia, status_agente, braco_liberar). All snake_case and legible, but no single predictable convention.
37 tools is well above the practical ceiling for a single MCP server and requires the agent to scan a long catalog before every action. The breadth (browser, desktop windows, vision, git, project indexing, local LLM, TTS, file organizing) is real but would be better split into domain-specific servers or namespaced groups.
Coverage is impressively broad for a local PC agent: browser and window control, git lifecycle (status/pull/branch/commit/merge/push/PR), project indexing and memory, testing, review, and local-model delegation are all present. The main gap is file writing/editing—there are readers and summarizers (ler_relevante, resumir_arquivo) but no clear tool to create or modify a file's content.