🦊GoClaw Deep Dive 🤖 — A Builder's Guide to a Multi-Tenant AI Agent Platform 📘

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 2215325) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Truong Phung Posted on Apr 28 🦊GoClaw Deep Dive 🤖 — A Builder's Guide to a Multi-Tenant AI Agent Platform 📘 #ai #llm #tutorial #webdev Source: https://github.com/nextlevelbuilder/goclaw — a Go-based, multi-tenant AI agent gateway with 20+ LLM providers, 7 messaging channels, an 8-stage pipeline, 3-tier memory, and 5-layer security. This document distills GoClaw's architecture into the principles, patterns, and concrete building blocks you need to build a similar platform from scratch. Read top-to-bottom for theory, jump to Part 4 — Build-It-Yourself Blueprint for a sequenced implementation plan. Table of Contents 🧠 What GoClaw Actually Is (mental model) ⚙️ The 11 Core Principles 🔄 The Agent Loop: Think → Act → Observe 🔧 The 8-Stage Pluggable Pipeline 🤖 Provider Abstraction & Resilience 🛠️ The Tool Registry Pattern 🧠 3-Tier Memory (L0/L1/L2) 🏢 Multi-Tenant Isolation by Default 🛡️ 5-Layer Defense-in-Depth Security 💾 Persistence: Interface-First, Dual Backend 📡 Channels as Pluggable Adapters 🤝 Teams, Delegation, and Subagents 🌱 Self-Evolution with Guardrails 🔁 Cross-Cutting Patterns 🗺️ Build-It-Yourself Blueprint ⚠️ Anti-Patterns to Avoid 📚 Reference Map Part 1 — 🧠 What GoClaw Actually Is GoClaw is not a chatbot or "wrapper around OpenAI." It is an AI agent gateway — a backend service that sits between your application and LLM providers + tools + storage, and exposes a stable RPC/HTTP surface to the outside world. [Browser / Telegram / Discord / Your SaaS Backend / CLI] │ (WebSocket RPC, HTTP REST, OpenAI-compat /v1/chat/completions) ▼ ┌─────────────────────────────────┐ │ GoClaw Gateway │ │ Auth · RBAC · Rate-limit │ │ Tenant Isolation Layer │ └────────────────┬────────────────┘ ▼ ┌─────────────────────────────────┐ │ Agent Engine │ │ Loop · Pipeline · Router │ │ Tools · Memory · Skills · MCP │ └────────────────┬────────────────┘ ▼ ┌─────────────────────────────────┐ │ PostgreSQL · Redis · Files │ │ (sessions · agents · memory · │ │ traces · KG · vault · keys) │ └─────────────────────────────────┘ │ ▼ 20+ LLM Providers (Anthropic, OpenAI, Gemini, …) Enter fullscreen mode Exit fullscreen mode Three sentences that capture the design Agents are configurations, not code — defined by rows in a DB plus a few markdown bootstrap files (SOUL.md, IDENTITY.md, AGENTS.md, TOOLS.md). Everything is multi-tenant from day one — every table carries tenant_id, every query enforces it, and tenant scope flows through context.Context. Every concern is an interface with at least one implementation — providers, stores, channels, tools, all behind small interfaces so they can be swapped or mocked. Part 2 — ⚙️ The 11 Core Principles 2.1 🔄 The Agent Loop: Think → Act → Observe The fundamental shape of any agent is a loop. GoClaw caps it at 20 iterations by default and structures each iteration as three actions: loop (≤ 20 times): THINK → Build prompt → call LLM → get response (text + tool calls?) if no tool calls: BREAK ACT → Execute tool calls (parallel if multiple) OBSERVE → Append tool results back into the message history finalize → sanitize output, persist messages, emit completion event Enter fullscreen mode Exit fullscreen mode…

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