TODOX is an MCP workspace for AI agents. Capture tasks, decisions, and lessons so every agent works from the same context — no matter which model or runtime it uses.
TODOX structures work so AI agents can read, write, and reason about your project's state through the Model Context Protocol.
Dependencies, priorities, and statuses form a queryable graph. Agents know what's blocked, what's ready, and what they should do next.
Every architectural choice, trade-off, and rejection is timestamped and searchable. New agents read history instead of repeating it.
Capture failures, fixes, and insights as structured data. Agents retrieve relevant lessons before attempting similar work.
MCP-native real-time updates mean every agent sees the same state. No stale context, no conflicting edits, no drift.
Connect Claude, GPT, local models, and custom runtimes through a single protocol. TODOX is the neutral layer.
Your data lives on your machine. SQLite, filesystem, or self-hosted. Cloud sync is optional, not mandatory.
TODOX exposes tasks, decisions, and lessons as MCP resources and tools. Any agent that speaks MCP can interact with your workspace.
Structured documents that describe current state. Agents read resources to understand context before acting.
Actions agents can invoke. Create tasks, log decisions, record lessons — all through standardized tool calls.
A live terminal session showing an agent querying TODOX, receiving context, and updating state.
Get started free. No credit card. Local-first by default.