Power your agent
Instal dari penerbit. Bukan endpoint PlugMCP.
URL remote atau perintah di mesin Anda? Perbedaan kedua cara instal
Jalankan di PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
BukaDari penerbit
A local-first, provider-neutral AI agent platform — in Go.
An agent for ongoing work: tools, document retrieval, temporal memory, scheduled jobs, and a web cockpit on infrastructure you control.
Self-hosted AI agent in Go with temporal graph memory, scheduled jobs, MCP tools and Telegram/WhatsApp channels. Docker Compose appliance, MIT.
Aura is a self-hosted, multi-user AI agent. Its Go binary hosts the runtime, tools, CLI, Telegram gateway, and embedded web cockpit; each person signs in to their own identity, with their own memory database, workspace and sandbox. Docker Compose runs Postgres, ArcadeDB, Garage, embedding, ingestion, web search, voice and the bundled integrations alongside it.
The model is chosen in the cockpit settings: OpenRouter (the default route), a ChatGPT plan, the bundled local llama.cpp server, or Ollama. Local storage does not make cloud inference offline: a cloud provider receives the context sent to its model; with a local server nothing leaves the host for inference.
Hardware: a mini PC with 16 GB of RAM is enough. The default stack measured 7 GB with speech-to-text and text-to-speech running on a 16 GB mini PC (2026-09-02). No local LLM runs by default: inference goes to the provider you choose.
A real run on a local stack: Aura stores the fact in its memory graph, loads the deferred task tool and schedules the reminder; a new chat then answers from memory, with provenance. Model replies were written by Claude through an OpenAI-compatible endpoint; waiting time is trimmed.
tool_search — discover tools and load their schemas when needed, including tools from mounted MCP servers.task tool (at | every | cron) for reminders and agent_job runs, with job policy, operator controls and outcomes delivered to the owning conversation.sandbox profile; runc, behind an egress floor), with deliverables handed back over the channel (send_file), never as a path.Where Aura sits next to Open WebUI and LibreChat: docs/COMPARISON.md.
Transport & UX cmd/aura (CLI) · channels (+telegram) · agui (SSE) · webui (embedded SPA) · webauth (Authula) · setup · askuser
Agent runtime agent (LlmAgent, Budget, Events, hooks, workflow Seq/Par/Loop) · runner · swarm · steer
Tools & MCP agent/tools (registry, deferred, tool_search, fs/shell/web/skill) · agent/mcptools · mcp (+manager) · mcpoauth · sandbox
Intelligence llm (+openai_compat) · chatgptplan · semindex (embed-index core) · reasoningtrace · scoring · multimodal · mediagen
Capabilities web · skills · cron · onboarding · documents · share · retention
Persistence db (Postgres+sqlc) · arcadedb (memory + retrieval) · conversations · identity · objectstore · secret · settings
Observability obs · agent/panicobs · reasoningtrace · toolinvocations · cachemetrics
cmd/aura/ CLI entry and subcommands
cmd/arcadedb-mcp/ Aura's own ArcadeDB memory MCP server
cmd/aura-*/ sidecar binaries (Cloudflare and ingest supervisors, media index, file cards)
internal/ the runtime, one package per concern (see Architecture)
web/ React cockpit, embedded into the binary from internal/webui/dist
services/ingest/ document ingestion sidecar
packages/create-aura/ the npx installer (create-aura-appliance)
docker/ deploy/ caddy/ image builds, systemd units and the updater, Caddy front door
scripts/ install, smoke, restore drill, coverage, file-size cap
docs/ install, architecture, capabilities, release and backup guides
.planning/ GSD planning artifacts
You need Docker on the target (4 CPU cores, 14 GiB usable RAM, 20 GiB free disk) and
Node.js 22.13+ on the workstation. The installer generates .env, downloads the Compose
assets and starts the stack, locally or on a Linux host over SSH:
npx create-aura-appliance # local
npx create-aura-appliance --mode remote # Linux target over SSH
Then open https://<host>, create the first user (the operator), and let the cockpit's
first-run setup pick the model route, the OpenRouter key and the optional Telegram bot.
Windows (Docker Desktop), the curl installer, release channels, the local CA, updates and WhatsApp pairing: docs/INSTALL.md.
Go from go.mod, Docker and a POSIX shell (Linux, or WSL on Windows):
git clone https://github.com/chetto1983/Aura.git
cd Aura
cp .env.example .env
make tools && lefthook install
make quality # vet + lint + deadcode + race + vuln + build, no containers
make db-migrate memory-up # bring the stack up
make quality-full # quality + coverage gate
Source builds, the local image, make targets and the review discipline: CONTRIBUTING.md. Report vulnerabilities privately per SECURITY.md, never in a public issue.
MIT Copyright 2026 Davide Marchetto.
Self-hosted AI agent in Go with temporal graph memory, scheduled jobs, MCP tools and Telegram/WhatsApp channels. Docker Compose appliance, MIT.
Tool
Belum ada daftar tool. Server remote mendapatkannya setelah pemeriksaan kesehatan pertama.
FAQ
Salin konfigurasi stdio untuk Cursor, Claude Desktop, Claude Code, atau VS Code di halaman ini. Konfigurasi ini memakai instalasi dari penerbit, bukan proxy PlugMCP.
Tidak ada variabel lingkungan wajib yang tercantum di catatan ini.
Aura berjalan secara lokal melalui stdio.
Terakhir diperiksa 2026-10-27. Self-hosted AI agent in Go with temporal graph memory, scheduled jobs, MCP tools and Telegram/WhatsApp channels. Docker Compose appliance, MIT.
