$ loading_
Track file changes for AI agents with checkpoints, rollback, and memory.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "statecli-mcp-server" yet — see the docs or source repo.
Record the current file state in this project and create a checkpoint named "baseline before refactor." If later changes break tests, I want to roll back to this state.
The tool saves a snapshot of current files and returns checkpoint details for later rollback.
List the major file changes the AI has made in this session, in chronological order, including which files changed and why.
A time-ordered summary of changes is produced to show the AI's actions and intent.
Roll the project back to the latest usable checkpoint and explain which files will be restored and which changes will be undone.
The tool performs the rollback and explains the restored files and reverted changes.
Manage persistent agent memories across global or repository-specific scopes.
Give AI agents persistent knowledge-graph memory and cross-session retrieval.
Give AI agents persistent memory, searchable knowledge, and automatic consolidation.
Manage durable project memory in AGENTS.md for AI agents.
Persist Claude sessions and coordinate multi-agent workflows with tracking tools.
Manage Memoh AI agents, containers, files, and memory from MCP clients.