Hmem – Persistent hierarchical memory for AI coding agents (MCP)
Hierarchical memory that persists across Claude Code, Cursor, and Windsurf—solve context amnesia.
A Jira-like project tracker MCP server for AI agents. SQLite-backed, 22 tools, full hierarchy, activity logging, and dashboard.
MCP server solves AI agent context loss with SQLite task hierarchy—no API keys, no setup.
AI engineers, LLM application builders, developers using Claude or Cursor with coding assistants
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.
Hierarchical memory that persists across Claude Code, Cursor, and Windsurf—solve context amnesia.
DAG-based task manager for AI agents with priority propagation and state cascading logic.
Three tools instead of 72—mcp-atlassian burns context, this doesn't.
Bi-temporal validity and time-travel queries beat simple vector stores for agent memory.
5-level memory hierarchy for AI agents, but MCP ecosystem is early and adoption unclear.
Production-tested MCP agent coordination with 500+ tasks completed in 6 weeks.