CLI + MCP server that bootstraps persistent project context for any AI agent, storing structured information using hierarchical dot notation and exposing it via MCP tools for session-over-session knowledge growth.
A local-first MCP server and CLI that gives coding agents structured project memory, task contracts, context packs, backlog workflows, and verification evidence, storing data in reviewable Markdown/YAML with a fast SQLite index.
Centralized multi-project state & handoff MCP server that lets AI agents save checkpoints in one session and resume in another with minimal token overhead, including git snapshots and code-graph integration.
Local dashboard and MCP server that maintains a live project registry and skill library, enabling coding agents to pull project context and automatically update status, stack, and next steps.
Persistent project context MCP server that syncs a single .faf file to all AI tool formats (Cursor, Windsurf, Cline, etc.), enabling eternal bi-sync and optimized context for AI assistants.
A Jira-like project tracker MCP server for AI agents. SQLite-backed, per-project scoped, with full hierarchy and activity logging — so LLMs never lose track.
No more scattered markdown files. saga-mcp gives your AI assistant a structured database to track projects, epics, tasks, subtasks, notes, and decisions across sessions.
