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Show HN: Open-source back end for multi-user AI agents with shared memory

Lobu, an open-source multi-tenant gateway for the OpenClaw agent runtime, launches to enable shared memory and isolated filesystems per user across multiple chat platforms. The project rewrites OpenClaw's single-tenant gateway layer to support concurrent users without Docker, tested at 300 instances on a single machine. It provides REST API and integrations with Slack, Telegram, WhatsApp, Discord, Teams, and Google Chat for embedding AI agents into products.

read5 min views1 publishedJun 18, 2026

Lobu is an open-source multi-tenant gateway for OpenClaw. One sandbox and filesystem per user/channel. Shared memory across contexts. Agents never see secrets.

OpenClaw is a full agent runtime (~800k LOC) but it's single-tenant by design β€” every user shares the same filesystem and bash session. Lobu rewrites only the gateway layer (~40k LOC) to be multi-tenant and keeps OpenClaw's Pi harness untouched inside each worker.

Embedded mode uses just-bash + Nix for reproducible packages. Each user gets an isolated virtual filesystem and bash session at ~50MB per instance β€” tested at 300 concurrent instances on a single machine, no Docker needed.

Embed OpenClaw-powered agents into your product, or give your team agents without managing a separate instance per person.

demo-readme.mp4 #

REST APIβ€” programmatic agent creation, control, and state.** Slack**β€” multi-channel/DM agents with rich interactivity.** Telegram**β€” webhook or polling bot with interactive workflows.** WhatsApp**β€” WhatsApp Business Cloud API.** Discord**β€” channel + DM bot support.** Teams**β€” Microsoft Teams bot.** Google Chat**β€” Cards v2, Workspace spaces.

Scaffold and run via the CLI. Lobu boots as a single Node process with a zero-config embedded Postgres by default (or bring your own β€” pgvector required β€” via DATABASE_URL

).

npx @lobu/cli@latest init my-bot
cd my-bot
npx @lobu/cli@latest run                      # boots the stack and applies your agent
npx @lobu/cli@latest chat -c local "hello"    # talk to it

lobu run

(embedded) auto-applies your lobu.config.ts

, so the scaffolded agent is usable immediately. To use an external Postgres, set DATABASE_URL

in .env

; to push later config changes, run lobu apply

.

Runtime configuration is managed through the web app or the same org-scoped REST API used by the CLI:

npx @lobu/cli@latest login
npx @lobu/cli@latest org set my-org
npx @lobu/cli@latest agent list

Local lobu.config.ts

projects are still useful for lobu validate

and lobu apply

workflows.

Single-process Node remains the simplest deployment: run it with node

, pm2

, systemd

, or another process supervisor. The app needs DATABASE_URL

(Postgres + pgvector) reachable from its environment.

Local dev(contributing to Lobu itself): clone,make setup

,make dev

(boots embedded gateway + workers + Vite HMR on:8787

).Production (VM/bare metal):bun run --cwd packages/server build:server

, thennode packages/server/dist/server.bundle.mjs

under your process supervisor of choice.Production (Kubernetes): use the public Helm chart incharts/lobu

:See

helm install lobu oci://ghcr.io/lobu-ai/charts/lobu \
  --namespace lobu --create-namespace \
  -f your-values.yaml

charts/lobu/values.yaml

for the full set of tunables. At minimum supply an ingress host, asecretName

Secret containingDATABASE_URL

+ENCRYPTION_KEY

+BETTER_AUTH_SECRET

  • provider API keys, and adatabase.existingSecret

.

flowchart LR
  Slack[Slack] <--> GW[Gateway]
  Telegram[Telegram] <--> GW
  WhatsApp[WhatsApp] <--> GW
  Discord[Discord] <--> GW
  API[REST API] <--> GW

  GW <--> PG[(Postgres)]
  GW -->|spawn| W[Worker]

  subgraph Sandbox
    W
  end

  W -.->|HTTP proxy| GW
  W -.->|MCP proxy| GW
  GW -->|domain filter| Internet((Internet))
  GW -->|scoped tokens| MCP[MCP Servers]

Every Lobu agent ships with tools for autonomous execution and persistence:

Feature Built-in Tools
Autonomous scheduling β€” one-time or cron
manage_schedules
Human-in-the-loop β€” on button input, resume on answer
ask_user
Full Linux toolbox β€” sandboxed shell, file edit, search
bash , read , write , edit , grep , find , ls
Conversation context β€” pull earlier thread messages
get_channel_history
File & media delivery β€” share reports, charts, audio
upload_file , generate_audio , generate_image
Skills β€” extend via lobu.config.ts or admin settings
lobu.config.ts , Settings UI
Connected APIs β€” GitHub, Google, etc. with Lobu-managed OAuth
MCP tools via Lobu
Managed MCP proxy β€” any MCP server with secret injection

Nix + external MCPβ€” browsing, headless UI, custom toolsbash

(Nix), MCP serversProductivity: Google Calendar, Slack, Jira, NotionDevelopment: GitHub, GitLab, Postgres, DockerKnowledge: Wikipedia, Brave Search, YouTube, PDF Search

Gateway as single egress. All worker traffic β€” internet and MCP β€” routes through the gateway. Workers have no direct network access; domain filtering controls which services they reach.MCP proxy. Gateway resolves${env:VAR}

secrets and routes to upstream MCP servers. OAuth for third-party APIs stays in Lobu β€” workers never see tokens.Multi-platform, multi-tenant. One instance serves Slack, Telegram, WhatsApp, Discord, Teams, and the REST API. Each channel/DM gets its own runtime, model, tools, credentials, and Nix packages.OpenClaw runtime. Workers runOpenClaw Pi Agentwith per-agent model selection. Supports OpenClaw skills andIDENTITY.md

/SOUL.md

/USER.md

workspace files.Multi-provider auth. 16 LLM providers (OpenAI, Gemini, Groq, DeepSeek, Mistral, …) via a config-driven registry. API keys stay on the gateway.

Lobu is the infrastructure layer for autonomous agents. Frameworks like LangChain or CrewAI help you write agent logic; Lobu is the delivery layer that runs those agents at scale β€” sandboxing, persistence, and messaging connectivity.

Lobu OpenClaw
Scale to zero Workers scale down when idle Requires always-on machine
Multi-tenant Single bot, per-channel/DM isolation One instance per setup
Multi-platform Slack, Telegram, WhatsApp, Discord, Teams, Google Chat, REST API

β€”Worker egress through the gateway proxyHTTP_PROXY=http://localhost:8118

with allowlist/blocklist + LLM egress judge. On Linux production hosts the worker spawn usessystemd-run --user --scope

withIPAddressDeny=any

to enforce egress at the kernel level; in dev (macOS) the proxy is best-effort.β€” provider credentials andSecrets stay in gateway${env:}

substitution; OAuth lives in Lobu. Workers never see real keys.β€”Threat model: single-tenant local isolationjust-bash

andisolated-vm

are policy + best-effort sandboxes, not security boundaries for hostile code. Seedocs/SECURITY.md

before exposing Lobu to untrusted users.β€” per-agent reproducible tooling and skill policy.Nix system packages

Lobu is open source, but deploying production-grade agents usually means tuning soul, identity, and integrations. I offer hands-on implementation for:

Employee AI assistantsβ€” persistent sandboxed agents on Slack wired into internal tools and docs.** Automated customer support**β€” multi-step ticket handling with human-in-the-loop.** Autonomous workflows**β€” long-running, scheduled background jobs with persistent state.** Managed infrastructure**β€” private Lobu deployments with updates and scaling.** Custom tooling & skills**β€” bespoke MCP servers, Nix runtimes, and OpenClaw skills.

I'm a second-time technical founder. Previously founded rakam.io (enterprise analytics PaaS), acquired by LiveRamp (NYSE: RAMP).

Tip

Want persistent agents for your team or customers? Talk to Founder or reach out on X/Twitter.

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