I got tired of my AI coding assistant (Claude, Cursor, etc.) losing track of project state across sessions — creating random markdown files, forgetting what was done, repeating work. So I built Saga.

It's an MCP server that gives your AI agent a proper project tracker — Projects > Epics > Tasks > Subtasks — backed by a local SQLite file. One tracker_dashboard call and the agent has full context to resume where it left off.

Key points:

Zero setup — SQLite auto-creates a .tracker.db file per project. No Docker, no Postgres, no API keys. 22 tools — CRUD for the full hierarchy, plus notes (decisions, blockers, meeting notes), cross-entity search, activity log, batch operations. Per-project scoped — Each project gets its own database. Nothing shared, nothing leaked. Activity log — Every mutation is automatically tracked so the agent (or you) can see what changed and when. Install: npx saga-mcp

GitHub: https://github.com/spranab/saga-mcp npm: https://www.npmjs.com/package/saga-mcp

The idea is simple: instead of the LLM trying to remember state in its context window or dumping it into files, give it an actual structured database it can query and update through tool calls. Works with Claude Desktop, Claude Code, Cursor, or any MCP-compatible client.

Would love feedback — especially on the tool design and what's missing.