"XState" matching MCP servers:

A small MCP server that stores and retrieves compact decision-relevant state (goals, constraints, facts, decisions) outside the chat context, enabling easy retrieval for Claude Code or Codex.

Enables MCP-compatible agents to arbitrate typed state-action schemas, dispatch routine actions deterministically, and apply pre-escalation filters that reduce unnecessary frontier LLM calls. It supports low-latency, schema-enforced routing with safety guardrails and local-first memory retention.

Graph-native bounded working memory for coding agents with typed memories, causal retrieval, current-vs-stale state queries, and compact small-model briefs.

SQLite-backed MCP server for Claude Code session persistence and multi-agent coordination. Provides tools for session management, event logging, decision tracking, file locking, agent registry, and plan tracking.

Enables long-horizon AI agents to replace append-only conversation history with a formal, bounded state tuple, supporting state initialization, step execution with transactional rollback, observation injection, and session inspection.

Provides state and log management tools designed for long-lived AI agents that may be interrupted and resumed. It enables tracking agent progress and maintaining an append-only event history to ensure continuity across multiple sessions.

Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

Enables AI assistants to maintain continuity across sessions by tracking named work lanes, structured handoffs, artifacts, and reusable routines so work can pick up where it left off.

Enables AI agents to commit stateful workflow checkpoints by calculating state hashes and rollback points through the Model Context Protocol. It provides deterministic, dependency-free checkpoint management for autonomous agent execution.