Ross ROSS = Recommend OSS · open-source software intelligence for agents

mudler/LocalAGI

LocalAGI is a powerful, self-hostable AI Agent platform designed for maximum privacy and flexibility. A complete drop-in replacement for OpenAI's Responses APIs with advanced agentic capabilities. No clouds. Local AI that works on consumer-grade hardware (CPU and GPU). observed · 2026-08-28

github.com/mudler/LocalAGI · Go · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

90/100

  • Activity 99
  • Release rhythm 83
  • Longevity 80
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 28
  • age_days: 1133
  • days_rel: 117
  • days_push: 8
  • n_releases_24m: 12

Full methodology

Adoption not part of the score

1961 stars · 289 forks observed · 2026-08-28

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

LocalAGI is a self-hostable, privacy-focused AI agent platform written in Go that lets users create no-code agents, automations, and chatbots running entirely on local CPU/GPU hardware. It exposes an OpenAI Responses API-compatible endpoint per agent, supports MCP and skills, includes RAG-based knowledge bases, and offers connectors to Telegram, Discord, Slack, GitHub, and IRC.

Use cases

  • run ai agents locally without cloud api keys
  • self-host a private chatgpt alternative
  • create no-code ai automations on my own hardware
  • build a telegram or discord ai bot that stays private
  • drop-in replacement for openai responses api
  • add rag knowledge base to local llm agents
  • orchestrate cooperative ai agent teams
  • connect local llm to mcp tools

When to choose

  • you need agents that run 100% locally on consumer CPU/GPU hardware
  • privacy is a hard requirement and no data may leave your machine
  • you want no-code agent creation via a web UI
  • you need OpenAI Responses API compatibility for local models
  • you want built-in chat platform connectors and RAG out of the box

When to avoid

  • you need a lightweight Python agent library to embed in your own code
  • you rely on cloud-only models or managed infrastructure
  • you need a battle-tested enterprise agent framework with large ecosystem
  • your workflow depends on features of cloud agent platforms not replicated here

Facets

application · maturity active

agent-framework rag chatbot llm-inference mcp api-framework web-framework workflow-automation artificial-intelligence large-language-models chatbots self-hosted privacy self-hosted windows cross-platform cli no-code-agents openai-responses-api local-ai agent-teams telegram-bot discord-bot slack-integration knowledge-base consumer-hardware go ai-agents retrieval-augmented-generation automation docker linux macos web-server gpu

1 source

Member repositories

RepositoryRoleHealth v2
mudler/LocalAGImain90

For agents

markdown · JSON · MCP: product_card(name="mudler/LocalAGI")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem