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SuperMemory

PYPI · SUPERMEMORY-AGENT

MCP-first agent learning: capture failures, validate lessons, retrieve context, improve.

Available components

+12 this week 74 Trust /100

Last scanned (10 minutes ago)

Scores higher than 70% of PyPI servers

Category Memory and Knowledge

Recent critical change

GHSA-6q48-6c7w-9gw2 affects this package (21 Oct 2026). See the changelog before you install this server.

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 0 of 33 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency45
Schema Quality & AI Usability61
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (poor).Fail
  • Tool/resource definitions use about 1096 tokens (~36/item across 30 items; 29 tools + 1 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management80
  • Stability observed for 24 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage40
  • 45% of tools have a non-trivial description (not blank, and not just the tool's name).Partial
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 29 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 30 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Nov 26 −3
    • Stability: pass → 0.80 functional
  • 30 Oct 26 +15
    • Malware scan: unverified → pass ▲ security
    • Stability: 0.97 → pass security
  • 29 Oct 26 0
    • Security disclosure: unverified → fail ▼ functional
    • Stability: pass → 0.97 functional
  • 28 Oct 26 0
    • Security disclosure: fail → unverified ▼ functional
  • 26 Oct 26 −15
    • Malware scan: pass → unverified ▼ security
  • 23 Oct 26 0
    • Stability: 0.97 → pass security
  • 22 Oct 26 +77
    • GHSA-6q48-6c7w-9gw2 no longer affects this package ▲ security
    • Known CVEs: fail → pass ▲ security
    • Score status: failed → scored ▲ functional
    • Stability: pass → 0.97 functional
  • 21 Oct 26 −77
    • GHSA-6q48-6c7w-9gw2 affects this package: none ▼ critical
    • Known CVEs: pass → fail ▼ critical
    • Score status: scored → failed ▼ critical
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Analysed pypi/supermemory-agent@0.2.5

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi
Reason No attestation published

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 33 packages
Packages resolved 33
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 29 exposed · ~1,087 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
add_policy ~35

Add a local policy rule.

NameTypeReqDescription
namespacestring––
priorityinteger––
rulestringyes–

Structured output declared, but exposes no named fields.

No examples provided.

add_skill ~66

Add a reusable skill/workflow block.

NameTypeReqDescription
descriptionstringyes–
metadata–––
namestringyes–
namespacestring––
stepsarrayyes–
tools–––
versionstring––
workflow–––

Structured output declared, but exposes no named fields.

No examples provided.

get_policies ~24

Return active policies visible to a namespace.

NameTypeReqDescription
namespacestring––

Structured output declared, but exposes no named fields.

No examples provided.

get_skill ~23

Read a reusable skill by ID.

NameTypeReqDescription
skill_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

learn.analytics ~5

No description provided.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

learn.evaluate ~13

No description provided.

NameTypeReqDescription
run_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

learn.experiment ~30

No description provided.

NameTypeReqDescription
resource_idstringyes–
traffic_splitnumber––
variant_bstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

learn.feedback ~23

No description provided.

NameTypeReqDescription
comment–––
ratingstringyes–
run_id–––

Structured output declared, but exposes no named fields.

No examples provided.

learn.improvements ~18

No description provided.

NameTypeReqDescription
agent_id–––
workflow_id–––

Structured output declared, but exposes no named fields.

No examples provided.

learn.policies ~6

No description provided.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

learn.reflect ~52

No description provided.

NameTypeReqDescription
auto_promoteboolean––
event_ids–––
failure–––
fix–––
root_cause–––
step–––
suggestion–––
workflow–––

Structured output declared, but exposes no named fields.

No examples provided.

learn.retrieve ~35

No description provided.

NameTypeReqDescription
max_tokensinteger––
namespace–––
querystringyes–
step–––
workflow–––

Structured output declared, but exposes no named fields.

No examples provided.

learn.rollback ~29

No description provided.

NameTypeReqDescription
resource_idstringyes–
resource_typestringyes–
target_versionstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

learn.run.end ~27

No description provided.

NameTypeReqDescription
lessons_used–––
run_idstringyes–
successbooleanyes–

Structured output declared, but exposes no named fields.

No examples provided.

learn.run.event ~62

No description provided.

NameTypeReqDescription
after–––
agent–––
before–––
event_typestringyes–
intent–––
run_idstringyes–
snippet–––
step–––
tags–––
workflow–––

Structured output declared, but exposes no named fields.

No examples provided.

learn.run.start ~34

No description provided.

NameTypeReqDescription
agent–––
agents–––
namespace–––
step–––
workflow_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

learn.skills ~12

No description provided.

NameTypeReqDescription
querystringyes–

Structured output declared, but exposes no named fields.

No examples provided.

learn.store ~13

No description provided.

NameTypeReqDescription
lesson_jsonstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

learn.telemetry ~45

No description provided.

NameTypeReqDescription
acceptedboolean––
improved–––
lesson_idstringyes–
run_id–––
telemetry_id–––
usedboolean––

Structured output declared, but exposes no named fields.

No examples provided.

learn.validate ~32

No description provided.

NameTypeReqDescription
event_ids–––
failurestringyes–
fixstringyes–
root_cause–––

Structured output declared, but exposes no named fields.

No examples provided.

process_promotions ~25

Process pending validated lessons and promote passing items.

NameTypeReqDescription
limitinteger––

Structured output declared, but exposes no named fields.

No examples provided.

record_correction ~69

Record a bounded correction signal.

NameTypeReqDescription
agent–––
domain–––
environment–––
language–––
namespacestring––
payload–––
step–––
summarystringyes–
tool–––
workflow–––

Structured output declared, but exposes no named fields.

No examples provided.

record_event ~84

Record a bounded significant event. Full transcripts should not be sent here.

NameTypeReqDescription
agent–––
domain–––
environment–––
event_typestringyes–
language–––
namespacestring––
payload–––
step–––
summarystringyes–
tool–––
workflow–––

Structured output declared, but exposes no named fields.

No examples provided.

record_failure ~68

Record a bounded failure signal.

NameTypeReqDescription
agent–––
domain–––
environment–––
language–––
namespacestring––
payload–––
step–––
summarystringyes–
tool–––
workflow–––

Structured output declared, but exposes no named fields.

No examples provided.

reflect ~34

Create a candidate lesson from evidence events.

NameTypeReqDescription
event_idsarrayyes–
lesson_text–––
suggestion–––

Structured output declared, but exposes no named fields.

No examples provided.

report_outcome ~57

Report telemetry for a retrieved lesson.

NameTypeReqDescription
acceptedbooleanyes–
improvedbooleanyes–
lesson_idstringyes–
retrieval_id–––
run_id–––
usedbooleanyes–

Structured output declared, but exposes no named fields.

No examples provided.

retrieve ~80

Retrieve policy-first, stage-aware lessons.

NameTypeReqDescription
agent–––
domain–––
environment–––
language–––
max_tokensinteger––
namespacestring––
querystringyes–
step–––
tool–––
top_kinteger––
workflow–––

Structured output declared, but exposes no named fields.

No examples provided.

search_skills ~44

Search reusable skills visible to a namespace.

NameTypeReqDescription
namespacestring––
querystringyes–
top_kinteger––
workflow–––

Structured output declared, but exposes no named fields.

No examples provided.

validate ~42

Validate a lesson candidate and enqueue approved lessons for promotion.

NameTypeReqDescription
candidate_lesson–––
event_ids–––
metadata–––
reflection_id–––

Structured output declared, but exposes no named fields.

No examples provided.

Install

How do I install the SuperMemory MCP server?

SuperMemory runs locally as a PyPI package, launched with uvx supermemory-agent. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · supermemory-agent

# add to Claude Code
claude mcp add yashvanthange-supermemory -- uvx supermemory-agent
Common questions

What is the SuperMemory MCP server?

SuperMemory is an MCP server listed in the public MCP registry as io.github.YashvantHange/supermemory. MCP-first agent learning: capture failures, validate lessons, retrieve context, improve. This page covers its PyPI package (supermemory-agent).

Is the SuperMemory MCP server safe to use?

SuperMemory scores 74 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the SuperMemory MCP server expose?

SuperMemory exposes 29 tools: record_event, record_failure, record_correction, reflect, validate, and 24 more. Their descriptions and schemas cost roughly 1,087 tokens of context every time the server is loaded.

Is the SuperMemory MCP server still maintained?

SuperMemory is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the SuperMemory MCP server under?

SuperMemory declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.