Piia Engram vs Memorix
A side-by-side look at the Piia Engram and Memorix MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Piia Engram for knowledge & memory work as a local process; choose Memorix for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Piia Engram when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a local stdio subprocess transport.
- You want tools like
get_user_context, wrap_up_session, memory_store.
Choose Memorix when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Knowledge & Memory | Knowledge & Memory |
| Quality signal | 61/100 · Good | 53/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 162 | 848 |
| Directory activity | 2 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 59 | Not listed |
| Full listing | View Piia Engram | View Memorix |
Tools & capabilities
Piia Engram tools 59
get_user_contextStartup** — Load identity + knowledge at session start (supports `token_budget` for context size control)wrap_up_sessionSession end** — Save insights + sync at session endmemory_storeWriteback** — Unified write endpoint: routes to add_lesson / add_decision / add_playbook by `kindadd_lessonStore a reusable lesson learnedadd_decisionRecord a key decision with reasoningadd_playbookRecord an operational playbook (multi-step procedure with trigger keywords)search_knowledgeRetrieval** — Search lessons, decisions, and playbooks (supports `filters_json` for domain/tier/date filtering)get_relevant_knowledgeFind knowledge relevant to current projectget_recallReturn one structured identity + recent activity + relevant knowledge recall payloadget_knowledge_historyRead one item's revision history (superseded snapshots; exact by-version lookup)get_identity_cardOwner-gated export: write and return a Markdown identity card for non-MCP toolsupdate_identityPropose identity, preference, or quality-standard changes for local review (all modes)- +47 more on the listing page
Memorix tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Piia Engram
{
"mcpServers": {
"patdolitse-piia-engram": {
"command": "uvx",
"args": [
"piia-engram"
]
}
}
}
Memorix
{
"mcpServers": {
"memorix": {
"command": "npx",
"args": [
"-y",
"memorix"
]
}
}
}
Frequently asked questions
Piia Engram is categorized under Knowledge & Memory and uses a local stdio subprocess. Memorix belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Piia Engram for knowledge & memory work and Memorix for knowledge & memory.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Piia Engram has no declared pricing — check the project's own site. Memorix is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add patdolitse-piia-engram and memorix as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Piia Engram has a quality signal of 61/100 (Good) with 2 views, 0 installs and 162 GitHub stars. Memorix has 53/100 (Good) with 2 views, 0 installs and 848 GitHub stars.