Turnstone

Self-hosted, local-first orchestration for tool-using AI agents. Give LLMs real tools — shell, files, search, web — and run them across your own cluster with direct HTTP routing and interactive interfaces. Your code, your models, your data stay on hardware you control: no telemetry, no phone-home.

Named after the Ruddy Turnstone (Arenaria interpres) — a shorebird that flips stones to discover what's hiding underneath.

Release Tracks

Track	Install	Docker	Description
Stable	pip install turnstone	ghcr.io/turnstonelabs/turnstone:stable	Production-grade. Bugfixes only.
Experimental	pip install turnstone --pre	ghcr.io/turnstonelabs/turnstone:experimental	New features. May have rough edges.

See docs/releasing.md for the full release process.

What it does

Turnstone gives LLMs tools — shell, files, search, web, planning — and orchestrates multi-turn conversations where the model investigates, acts, and reports.

• Local-first & private — runs entirely on hardware you control, with no telemetry and no phone-home. Point it at local models (vLLM, llama.cpp, Ollama) or commercial APIs you hold the keys to — your prompts and data never transit a third party you didn't choose.
• Bring your own models — OpenAI-compatible APIs (vLLM, llama.cpp, NIM), the Anthropic Messages API, and Google Gemini, mixed freely per role
• Interactive sessions — terminal CLI or browser UI with parallel workstreams
• Cluster dashboard — real-time view of every node and workstream, with a rendezvous routing proxy
• Intent validation — an LLM judge (your model) grades every tool call with a risk assessment and evidence before it runs
• MCP support — external tool servers with native deferred loading (Anthropic/OpenAI) or BM25 fallback
• Team controls when you need them — optional RBAC, SSO, tool policies, and audit logs, all stored in your own database

Quickstart

pip install turnstone

# Terminal REPL
turnstone --base-url http://localhost:8000/v1

# Browser UI
turnstone-server --port 8080 --base-url http://localhost:8000/v1

# Cluster dashboard
pip install turnstone[console]
turnstone-console --port 8090

For PostgreSQL (recommended for production):

pip install turnstone[postgres]
export TURNSTONE_DB_BACKEND=postgresql
export TURNSTONE_DB_URL="postgresql+psycopg://user:pass@localhost:5432/turnstone"
turnstone-server --port 8080 --base-url http://localhost:8000/v1

Docker

One-line install — autodetects Ubuntu/Debian, Fedora/RHEL, Arch, and WSL, installs git + Docker if missing, generates secrets, and starts the stack:

curl -fsSL https://raw.githubusercontent.com/turnstonelabs/turnstone/main/run.sh | bash

Or, if you already have Docker, clone the repo and run it yourself:

docker compose up

That builds one image and brings up a full local cluster — PostgreSQL, console, Caddy, channel gateway, and 10 server nodes — with no .env required (it ships with insecure dev defaults). Open the dashboard at https://localhost:8443 (Caddy serves it over TLS with its own local CA — trust it once). Nodes boot without an LLM; add model backends from the console UI.

For production (released images from ghcr.io, real secrets required), use the bundled stack: docker compose -f turnstone/deploy/compose.yaml up.

See QUICKSTART.md for the bootstrap wizard and docs/docker.md for Docker configuration.

Programmatic (SDK)

from turnstone.sdk import TurnstoneServer

with TurnstoneServer("http://localhost:8080", token="tok_xxx") as client:
    ws = client.create_workstream(name="demo")
    result = client.send_and_wait("Analyze the error logs", ws.ws_id, auto_approve=True)
    print(result.content)

Tools

Built-in tools for shell, files, search, web, memory, notifications, and autonomous sub-agents — plus external tools via MCP with native deferred loading. See docs/tools.md for the full reference and docs/mcp-registry.md for MCP configuration.

Architecture

Single-node: Client → Server (direct HTTP + SSE). No external dependencies beyond the database.

Multi-node: Client → Console (rendezvous routing proxy) → Server nodes. The console picks the target node for each workstream via rendezvous (HRW) hashing over the live service registry — pure function of (ws_id, live_nodes), no stored bucket state, deterministic across readers. A node join or drop only re-routes the keys that score highest on the affected node.

Component	Purpose
turnstone	Terminal CLI (REPL)
turnstone-server	Web UI + REST API + SSE events
turnstone-console	Cluster dashboard + routing proxy + admin panel
turnstone-channel	Channel gateway (Discord and Slack adapters)
turnstone-admin	User/token management CLI
turnstone-eval	Eval harness for prompt/tool optimization
turnstone-bootstrap	LLM-guided setup wizard

Diagrams

UML diagrams in docs/diagrams/:

Diagram	Description
System Context	Components and external dependencies
Package Structure	Python modules and dependency graph
Core Engine	SessionUI, ChatSession, LLMProvider
Conversation Turn	Message lifecycle through the engine
Tool Pipeline	Prepare / approve / execute
Workstream States	State machine transitions
Console Data Flow	Dashboard data collection
Deployment	Docker Compose topology
Auth	JWT, scopes, login flows
Channels	Discord / Slack adapters + routing
Judge	Intent validation pipeline
OIDC	SSO authorization code flow

Documentation

Topic	Link
Configuration reference	docs/settings.md
API reference	docs/api-reference.md
Docker deployment	docs/docker.md
Intent validation (judge)	docs/judge.md
Governance & RBAC	docs/governance.md
OIDC SSO	docs/oidc.md
TLS / mTLS	docs/tls.md
Channel integrations	docs/channels.md
Console dashboard	docs/console.md
Eval harness	docs/eval.md
Tools reference	docs/tools.md
MCP integration	docs/mcp-registry.md

Requirements

• Python 3.11+
• An OpenAI-compatible API endpoint, Anthropic API key, or Google Gemini API key
• Optional: PostgreSQL (pip install turnstone[postgres]), Anthropic (pip install turnstone[anthropic])
• Git LFS for cloning (diagram PNGs)

Community

Questions, ideas, or want to show what you're building? Join us on Discord: discord.gg/Nh3bWMacaq.

License

Business Source License 1.1 — free for all use except hosting as a managed service. Converts to Apache 2.0 on 2030-03-01.