Bruno ClermontandBruno Clermont
cc9956c1f9
* feat(audio): add openai_compat TTS/STT provider for self-hosted endpoints
Adds a provider pair speaking the OpenAI audio wire format against any
compatible endpoint (gpu-manager, Speaches, vLLM, LocalAI, llama.cpp,
Ollama), so a self-hosted engine no longer needs a bespoke HTTP shim
implementing goclaw's proprietary /transcribe_audio contract.
Kept distinct from the openai package on purpose. Both speak the same
wire format, but "openai" carries api.openai.com semantics, and
audio.IsVoiceCompatible applies OpenAI's voice allowlist to any provider
by that name — FilterVoiceForProvider then silently substitutes "alloy"
for anything outside it. A self-hosted voice ID such as Piper's
"fr_FR-gilles-low" would be replaced with no error and no log line, and
the caller would hear the wrong language. Providers without validation
rules pass through untouched, which is the correct behaviour for an
engine whose voice namespace is its own.
Other deliberate departures from the openai package:
- api_base is required. There is no public endpoint to fall back to, and
defaulting to api.openai.com would send self-hosted traffic to a vendor.
- An empty api_key omits the Authorization header rather than sending an
empty Bearer token; self-hosted engines commonly have no auth.
- Empty voice/model are omitted from the request instead of sent blank,
since some engines resolve the model from the requested voice.
- The multipart filename is never blank: several engines type the audio
by extension rather than Content-Type and reject what they cannot type.
Endpoint error bodies are preserved in the returned error so a format
mismatch (e.g. an engine that cannot encode mp3) is diagnosable.
* feat(audio): wire openai_compat TTS/STT provider into gateway config
Adds tts.openai_compat config block and registers both providers at
startup. api_base is the enable switch rather than an API key, since
self-hosted endpoints commonly have no auth and there is no vendor
default to fall back to.
The STT chain is now built from the providers that actually registered
instead of being hardcoded to {elevenlabs, proxy}. Transcribe skips
unregistered names with a warning on every call, so a static chain
naming absent providers is log noise on the hot path. openai_compat goes
first when present: it is an explicit operator choice and keeps audio on
the local network. "proxy" stays last, as BridgeLegacySTT registers it
later per channel.
Behaviour is unchanged when tts.openai_compat.api_base is unset: the
chain resolves to {elevenlabs, proxy} exactly as before.
---------
Co-authored-by: Bruno Clermont <bruno.clermont@gmail.com>
Multi-Tenant AI Agent Platform
Multi-agent AI gateway built in Go. 20+ LLM providers. 7 channels. Multi-tenant PostgreSQL.
Single binary. Production-tested. Agents that orchestrate for you.
Documentation • Quick Start • Twitter / X
🌐 Languages: 🇻🇳 Tiếng Việt · 🇨🇳 简体中文 · 🇯🇵 日本語 · 🇰🇷 한국어 · 🇵🇭 Tagalog · 🇪🇸 Español · 🇧🇷 Português · 🇮🇹 Italiano · 🇩🇪 Deutsch · 🇫🇷 Français · 🇸🇦 العربية · 🇮🇳 हिन्दी · 🇷🇺 Русский · 🇧🇩 বাংলা · 🇮🇱 עברית · 🇵🇱 Polski · 🇨🇿 Čeština · 🇳🇱 Nederlands · 🇹🇷 Türkçe · 🇺🇦 Українська · 🇮🇩 Bahasa Indonesia · 🇹🇭 ไทย · 🇵🇰 اردو · 🇷🇴 Română · 🇸🇪 Svenska · 🇬🇷 Ελληνικά · 🇭🇺 Magyar · 🇫🇮 Suomi · 🇩🇰 Dansk · 🇳🇴 Norsk
Core Features
- 8-Stage Agent Pipeline — context → history → prompt → think → act → observe → memory → summarize. Pluggable stages, always-on execution
- 4-Mode Prompt System — Full / Task / Minimal / None with section gating, cache boundary optimization, and per-session mode resolution
- 3-Tier Memory — Working (conversation) → Episodic (session summaries) → Semantic (knowledge graph). Progressive loading L0/L1/L2
- Knowledge Vault — Document registry with wikilinks, hybrid search (FTS + pgvector), filesystem sync
- Agent Teams & Orchestration — Shared task boards, inter-agent delegation (sync/async), 3 orchestration modes (auto/explicit/manual)
- Self-Evolution — Metrics → suggestions → auto-adapt with guardrails. Agents refine their own communication style
- Multi-Tenant PostgreSQL — Per-user workspaces, per-user context files, encrypted API keys (AES-256-GCM), RBAC, isolated sessions
- 20+ LLM Providers — Anthropic (native HTTP+SSE with prompt caching), OpenAI, OpenRouter, Groq, DeepSeek, Gemini, Mistral, xAI, MiniMax, DashScope, Claude CLI, Codex, ACP, and any OpenAI-compatible endpoint
- 7 Messaging Channels — Telegram, Discord, Slack, Zalo OA, Zalo Personal, Feishu/Lark, WhatsApp
- Production Security — 5-layer permission system, rate limiting, prompt injection detection, SSRF protection, AES-256-GCM encryption
- Single Binary — ~25 MB static Go binary, no Node.js runtime, <1s startup, runs on a $5 VPS
- Observability — Built-in LLM call tracing with spans and prompt cache metrics, optional OpenTelemetry OTLP export
Desktop Edition (GoClaw Lite)
A native desktop app for local AI agents — no Docker, no PostgreSQL, no infrastructure.
macOS:
curl -fsSL https://raw.githubusercontent.com/nextlevelbuilder/goclaw/main/scripts/install-lite.sh | bash
Windows (PowerShell):
irm https://raw.githubusercontent.com/nextlevelbuilder/goclaw/main/scripts/install-lite.ps1 | iex
What's Included
- Single native app (Wails v2 + React), ~30 MB
- SQLite database (zero setup)
- Chat with agents (streaming, tools, media, file attachments)
- Agent management (max 5), provider config, MCP servers, skills, cron
- Team tasks with Kanban board and real-time updates
- Auto-update from GitHub Releases
Lite vs Standard
| Feature | Lite (Desktop) | Standard (Server) |
|---|---|---|
| Agents | Max 5 | Unlimited |
| Teams | Max 1 (5 members) | Unlimited |
| Database | SQLite (local) | PostgreSQL |
| Memory | FTS5 text search | pgvector semantic |
| Channels | — | Telegram, Discord, Slack, Zalo, Feishu, WhatsApp |
| Knowledge Graph | — | Full |
| RBAC / Multi-tenant | — | Full |
| Auto-update | GitHub Releases | Docker / binary |
Building from Source
# Prerequisites: Go 1.26+, pnpm, Wails CLI (go install github.com/wailsapp/wails/v2/cmd/wails@latest)
make desktop-build # Build .app (macOS) or .exe (Windows)
make desktop-dmg VERSION=0.1.0 # Create .dmg installer (macOS only)
make desktop-dev # Dev mode with hot reload
Desktop Releases
Desktop uses independent versioning with lite-v* tags:
git tag lite-v0.1.0 && git push origin lite-v0.1.0
# → GitHub Actions builds macOS (.dmg + .tar.gz) + Windows (.zip)
# → Creates GitHub Release with all assets
Architecture
Quick Start
Prerequisites: Go 1.26+, PostgreSQL 18 with pgvector, Docker (optional)
From Source
git clone -b main https://github.com/nextlevelbuilder/goclaw.git && cd goclaw
make build
./goclaw onboard # Interactive setup wizard
source .env.local && ./goclaw
Note: The default branch is
dev(active development). Use-b mainto clone the stable release branch.
With Docker
# Generate .env with auto-generated secrets
chmod +x prepare-env.sh && ./prepare-env.sh
# Add at least one GOCLAW_*_API_KEY to .env, then:
make up
# If Postgres fails to start ("port 5432 already allocated"), set another host
# port in .env, e.g. POSTGRES_PORT=5433 (see .env.example).
# Web Dashboard at http://localhost:18790 (built-in)
# Health check: curl http://localhost:18790/health
# Optional: separate nginx for custom SSL/reverse proxy
# make up WITH_WEB_NGINX=1 → Dashboard at http://localhost:3000
make up creates a Docker network, embeds the correct version from git tags, builds and starts all services, and runs database migrations automatically.
Common commands:
make up # Start all services (build + migrate)
make down # Stop all services
make logs # Tail logs (goclaw service)
make reset # Wipe volumes and rebuild from scratch
Operator CLI:
The main goclaw binary can also inspect local or remote gateways:
goclaw traces list --status error
goclaw traces get <trace-id> -o json
goclaw --server https://goclaw.example.com --token "$GOCLAW_GATEWAY_TOKEN" traces follow --session <session-key>
Optional services — enable with WITH_* flags:
| Flag | Service | What it does |
|---|---|---|
WITH_BROWSER=1 |
Headless Chrome | Enables browser tool for web scraping, screenshots, automation |
WITH_OTEL=1 |
Jaeger | OpenTelemetry tracing UI for debugging LLM calls and latency |
WITH_SANDBOX=1 |
Docker sandbox | Isolated container for running untrusted code from agents |
WITH_TAILSCALE=1 |
Tailscale | Expose gateway over Tailscale private network |
WITH_REDIS=1 |
Redis | Redis-backed caching layer |
Flags can be combined and work with all commands:
# Start with browser automation and tracing
make up WITH_BROWSER=1 WITH_OTEL=1
# Stop everything including optional services
make down WITH_BROWSER=1 WITH_OTEL=1
When GOCLAW_*_API_KEY environment variables are set, the gateway auto-onboards without interactive prompts — detects provider, runs migrations, and seeds default data.
Docker image variants:
Image Description latestBackend + embedded web UI + Python (recommended) latest-baseBackend API-only, no web UI, no runtimes latest-fullAll runtimes + skill dependencies pre-installed latest-otelLatest + OpenTelemetry tracing goclaw-webStandalone nginx + React SPA (for custom reverse proxy) For custom builds (Tailscale, Redis):
docker build --build-arg ENABLE_TSNET=true ...See the Deployment Guide for details.
Updating
Docker
docker compose pull && docker compose up -d
Binary (with embedded web UI)
goclaw update --apply # Downloads, verifies SHA256, swaps binary, restarts
Web Dashboard
Open About dialog → click Update Now (admin only). The update includes both backend and web dashboard when using the default latest image.
Multi-Agent Orchestration
Each agent runs with its own identity, tools, LLM provider, and context files. Three delegation modes — sync (wait), async (fire-and-forget), bidirectional — connected through explicit permission links with concurrency limits.
Details: Agent Teams docs
Knowledge Vault
Document registry with [[wikilinks]] for bidirectional linking. Hybrid search combines full-text (BM25) and semantic (pgvector) for precise retrieval. Filesystem sync keeps vault in sync with on-disk files.
Self-Evolution
Agents improve themselves through a 3-stage guardrailed pipeline: metrics collection → suggestion analysis → auto-adaptation. Can refine communication style and domain expertise (CAPABILITIES.md) — but never change identity, name, or core purpose.
Provider Adapters
20+ LLM providers unified through a single adapter interface. Capability-based routing, encrypted API keys (AES-256-GCM), extended thinking support per-provider, and prompt caching for Anthropic + OpenAI.
Event-Driven Architecture
Typed domain events power the consolidation pipeline — session summaries, knowledge graph extraction, and dreaming promotion all run asynchronously via worker pools with dedup and retry.
Built-in Tools
30+ tools across 8 categories:
| Category | Tools | Description |
|---|---|---|
| Filesystem | read_file, write_file, edit_file, list_files, search, glob |
File operations with virtual FS routing |
| Runtime | exec, browser |
Shell commands (approval workflow) + browser automation |
| Web | web_search, web_fetch |
Search (Brave, DuckDuckGo) + content extraction |
| Memory | memory_search, memory_get, knowledge_graph_search |
3-tier memory + KG traversal |
| Media | create_image, create_audio, create_video, read_*, tts |
Generation + analysis (multi-provider) |
| Skills | skill_search, use_skill, skill_manage |
BM25 + semantic hybrid search |
| Teams | team_tasks, spawn, delegate, message |
Task board + orchestration + messaging |
| Automation | cron, heartbeat, sessions_* |
Scheduling + session management |
Full tool reference at docs.goclaw.sh
Webhook API
Trigger agents or send channel messages from external systems without the gateway token.
# Bearer auth — sync LLM call
curl -X POST https://example.com/v1/webhooks/llm \
-H "Authorization: Bearer wh_..." \
-H "Content-Type: application/json" \
-d '{"input":"Summarize today metrics","mode":"sync"}'
# HMAC auth — sign with hmac_signing_key from create response
TS=$(date +%s); BODY='{"input":"hi","mode":"sync"}'
SIG=$(echo -n "${TS}.${BODY}" | openssl dgst -sha256 -mac HMAC \
-macopt "hexkey:${WEBHOOK_HMAC_KEY}" | awk '{print $2}')
curl -X POST https://example.com/v1/webhooks/llm \
-H "Content-Type: application/json" \
-H "X-Webhook-Id: ${WEBHOOK_ID}" \
-H "X-GoClaw-Signature: t=${TS},v1=${SIG}" \
-d "$BODY"
See docs/webhooks.md for the full reference: auth, async callbacks, retry schedule, HMAC examples, channel matrix.
Documentation
Full documentation at docs.goclaw.sh — or browse the source in goclaw-docs/
| Section | Topics |
|---|---|
| Getting Started | Installation, Quick Start, Configuration, Web Dashboard Tour |
| Core Concepts | Agent Loop, Sessions, Tools, Memory, Multi-Tenancy |
| Agents | Creating Agents, Context Files, Personality, Sharing & Access |
| Providers | Anthropic, OpenAI, OpenRouter, Gemini, DeepSeek, +15 more |
| Channels | Telegram, Discord, Slack, Feishu, Zalo, WhatsApp, WebSocket |
| Agent Teams | Teams, Task Board, Messaging, Delegation & Handoff |
| Advanced | Custom Tools, MCP, Skills, Cron, Sandbox, Hooks, RBAC |
| Deployment | Docker Compose, Database, Security, Observability, Tailscale |
| Reference | CLI Commands, REST API, WebSocket Protocol, Environment Variables |
Testing
go test ./... # Unit tests
go test -v ./tests/integration/ -timeout 120s # Integration tests (requires running gateway)
Project Status
See CHANGELOG.md for detailed feature status including what's been tested in production and what's still in progress.
Acknowledgments
GoClaw was originally inspired by the OpenClaw project architecture.
License
CC BY-NC 4.0 — Creative Commons Attribution-NonCommercial 4.0 International