LogicMem MCP Server
# logicmem-mcp (unmaintained mirror)
> **This repository is no longer maintained.** The canonical source for the LogicMem Python SDK and MCP connector is
> **https://github.com/LogicMem/LogicMem-mcp-**. Please file issues and pull requests there.
LogicMem — *Prove what your AI did.* Tamper-evident records of AI agent actions and memory, built for teams in regulated fintech and insurance.
- Website: https://logicmem.io
- Package: `pip install logicmem` (https://pypi.org/project/logicmem/)
LogicMem is designed to support record-keeping duties such as EU AI Act Article 12; it is not a compliance certificate, and nothing here is legal advice.
License: MIT (see LICENSE).
TDQS
Scored across 12 tools
Each tool targets a distinct operation: memory log, recall, session, stats, health, outcome, and reflect are all clearly differentiated. The A2A tools (register, heartbeat, list, write_shared, sync) also have distinct purposes with no overlap.
All tools follow a consistent 'logicmem_<domain>_<action>' pattern using snake_case. Minor inconsistency arises because the final token is sometimes a noun (session, stats, health) and sometimes a verb (log, recall, reflect), but the overall structure is predictable and readable.
12 tools is well within the ideal 3-15 range. The set covers two clear domains (memory management and A2A communication) with each tool serving a specific function, making the count feel appropriate and not bloated.
The memory lifecycle is well covered with store, search, full session briefing, stats, health, outcome feedback, and reflection. Minor gaps exist like missing memory update/delete and A2A deregistration, but these are not critical for the core workflows.