01
Daily Standup Reporter
Runs every 24h, analyzes git history, ingests findings, generates a standup report. No interaction needed.
Open Source · Rust
AI agents that work together.
Defined in config. Connected by mesh.
One TOML file = a complete autonomous agent with LLM, tools, scheduling, memory, and mesh networking. Share providers without sharing API keys. Run on device. No cloud, no Python, no credential leaks.
standup_bot.toml 90 lines
[agent] provider = "anthropic" model = "claude-sonnet-4-5-20250929" tools = ["shell", "knowledge_ingest", "knowledge_query"] # Run once a day, forever [agent.execution] max_steps = 30 max_turns = 15
qmtcode --config standup_bot.toml --dashboard Also available as a Rust library, CLI, VS Code extension, and iOS/Android FFI.
Get Started
Install in one command
curl -sSf https://query.mt/install.sh | sh macOS Silicon: clear the quarantine flag after downloading:
xattr -dr com.apple.quarantine qmtcode Rust developers: add to
Cargo.toml —
querymt = { version = "0.2", features = ["extism_host"] } Features
Five pillars that make querymt unique
Every feature maps to one of these pillars. Together they form a framework no one else offers.
Agent by config.
Define LLM, tools, MCP servers, scheduling, and middleware in one TOML file. No code.
Learn more →Share models, not keys.
Mesh nodes expose LLMs without leaking API keys. Join with signed invite tokens — even as QR codes.
Learn more →Connects to your life.
Calendar, Contacts, Messages, Maps — all on device via iMCP. iOS and Android too.
Learn more →Agents find each other.
Auto-discovery over LAN or internet. Delegation across machines. Session sharing.
Learn more →LLMs as plugins.
17+ providers as OCI plugins. WASM-sandboxed. GPU auto-detect for local inference.
Learn more →Gallery
What can you build?
13 ready-to-run agent configs. Copy one, edit it, run it. Each demonstrates different capabilities.
02
Codebase Health Monitor
Audits TODOs, test counts, dependencies, dead code, and doc coverage every 30 minutes. Tracks trends.
03
Proactive Pattern Miner
Mines behavioral patterns from device data. Produces proactive briefings about what may derail your day.
04
Personal Device Assistant
Queries Calendar, Contacts, Messages, Reminders, Maps, Weather via iMCP. All on device, all local.
05
Research Assistant
Interactive research assistant with persistent memory. Ingest findings, query them later, auto-consolidate.
06
Learning Code Pair
Planner + coder quorum that gets smarter over time. Queries past decisions before planning new ones.
07
Multi-Agent Code Impl.
Planner delegates to specialized coder with GPU. Parallel delegation with verification.
08
Planner + Coder + Researcher
Three-agent quorum with GitHub MCP. Each delegate has different tools and providers.
09
Get Started Template
Simple single agent with tools and optional MCP. The template for getting started.
10
Code Agent
Build/Plan/Review mode coding agent. Git snapshots. Three-layer context compaction.
11
Context Management Demo
Advanced context management with tool result compaction via SQLite FTS5 and routing guardrails.
12
Delegate Template
Minimal coder delegate config. Template for adding new delegates to a quorum.
13
VS Code Extension
Agent config designed for VS Code extension embedding. Modes, middleware, MCP integration.
How It Works
Three steps from config to running agent
1
Write a TOML file
[agent] provider = "anthropic" model = "..." tools = ["shell", "knowledge_ingest"] [[mcp]] name = "github" [[middleware]] type = "limits"
2
Run one command
qmtcode --config agent.toml --dashboard
✓ Agent bootstraps
✓ Loads MCP servers
✓ Creates knowledge store
✓ Starts scheduler
✓ Joins mesh
3
Use the dashboard
chat > 💬 Chat with it
cron > 📅 Schedule it
tail > 👁 Watch it run
mode > 🔄 Switch modes
Providers
17+ providers, one API
OCI-pulled WASM or native plugins. Sandboxed by default. GPU auto-detection for local inference.
$ qmt providers list 17 adapters
[01] plugin: OpenAI ready
[02] plugin: Anthropic ready
[03] plugin: Google ready
[04] plugin: Groq ready
[05] plugin: xAI ready
[06] plugin: Ollama ready
[07] plugin: llama.cpp ready
[08] plugin: Mistral ready
[09] plugin: DeepSeek ready
[10] plugin: Alibaba ready
[11] plugin: Moonshot ready
[12] plugin: Kimi-Code ready
[13] plugin: OpenRouter ready
[14] plugin: Codex ready
[15] plugin: Z.AI ready
[16] plugin: Izwi ready
[17] plugin: MRS ready
For You
Where do you fit in?
Rust Developer
Use querymt as a library. Builder pattern, traits, plugin system.
Core Docs →CLI User
Install qmt and start chatting from the terminal.
CLI Docs →Agent Builder
Define agents in TOML. Run with dashboard.
Showcase →Local AI
Run models on your own GPU. No cloud. No Python.
Device Agent →Mesh User
Share models with friends. Join with invite token.
Provider Sharing →