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SmartMemory

PYPI · SMARTMEMORY-MCP · SCANNED SEP 27

Graph + vector memory for agents: recall, ingest, search, distill. Local or remote backend.

Available components

+3 this week 57 Trust /100
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 Security50
  • Malware scan not yet available for this package.Unverified
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 1 of 23 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency19
Schema Quality & AI Usability71
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1901 tokens (~111/item across 17 items; 17 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management70
  • Stability observed for 21 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage76
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 16% of tool parameters carry a description.Partial
  • Structured output schemas are declared (82% 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 17 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 17 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Install

How do I install the SmartMemory MCP server?

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

pypi · smartmemory-mcp

# add to Claude Code
claude mcp add ai-smartmemory-smartmemory-mcp -- uvx smartmemory-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "ai-smartmemory-smartmemory-mcp": {
      "command": "uvx",
      "args": [
        "smartmemory-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "ai-smartmemory-smartmemory-mcp": {
      "command": "uvx",
      "args": [
        "smartmemory-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add ai-smartmemory-smartmemory-mcp -- uvx smartmemory-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-smartmemory-smartmemory-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "smartmemory-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ai-smartmemory-smartmemory-mcp --command uvx --arg smartmemory-mcp
# ~/.hermes/config.yaml
mcp_servers:
  ai-smartmemory-smartmemory-mcp:
    command: "uvx"
    args: ["smartmemory-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "ai-smartmemory-smartmemory-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "smartmemory-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add ai-smartmemory-smartmemory-mcp -t stdio -c uvx -a smartmemory-mcp
// mcp.json
{
  "mcpServers": {
    "ai-smartmemory-smartmemory-mcp": {
      "command": "uvx",
      "args": [
        "smartmemory-mcp"
      ]
    }
  }
}
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.

  • 27 Sept 26 −15
    • Malware scan: pass → unverified ▼ security
  • 26 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

  • 25 Sept 26 +15
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 23 Sept 26 −14
    • Malware scan: pass → unverified ▼ security
  • 22 Sept 26 +15
    • Malware scan: unverified → pass ▲ security
  • 21 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.

  • 19 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

  • 17 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

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 27 Sept 2026 · Analysed pypi/smartmemory-mcp@1.4.94

Provenance No attestation

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

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted setuptools.build_meta

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

Dependencies 23 packages
Packages resolved 23
Stale 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 17 exposed · ~1,901 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
get_working_context ~117

Retrieve a structured surfacing response (CORE-MEMORY-DYNAMICS-1 M1a). Returns JSON matching ``smart-memory-docs/docs/features/CORE-MEMORY-DYNAMICS-1/context-api-contract.json``. Cross-type retrieval, ``strategy_used="fast:recency"``. Standalone MCP does not currently compose anchors.

NameTypeReqDescription
kinteger––
max_tokens–––
querystringyes–
session_idstringyes–
strategy–––

Structured output declared, but exposes no named fields.

No examples provided.

login ~31

Authenticate with a SmartMemory API key. Restart MCP server to unlock PRO tools.

NameTypeReqDescription
api_keystringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

memory_auto ~198

Enable or disable automatic memory lifecycle. When enabled, SmartMemory automatically recalls context at session start, observes tool calls, distills conversation turns, learns from errors, and persists session summaries. Zero manual tool calls needed. Session-scoped overrides — settings apply to the current session only, not persisted to config.toml.

NameTypeReqDescription
distill_turnsboolean–Save (prompt, response) pairs.
enabledboolean–Activate (True) or deactivate (False) automatic lifecycle.
learn_from_errorsboolean–Capture PostToolUseFailure errors.
observe_tool_callsboolean–Capture PostToolUse observations.
orient_budgetinteger–Max tokens for session-start context injection.
recall_budgetinteger–Max tokens for per-prompt context injection.
recall_strategystring–"session_only" | "topic_change" | "every_prompt".
session_idstring––
NameTypeReqDescription
resultstringyes–

No examples provided.

memory_explain ~119

Explain a memory's full provenance: origin, every belief the system held for it over time, what replaced it, what it derives from, and whether its history is cryptographically intact. The single-call audit answer (PLAT-AUDITABLE-MEMORY-1). FREE tier by design: agents should always be able to answer "how do you know that?". chain_verified null means nothing to verify (legacy or unversioned) — it is NOT a tamper warning.

NameTypeReqDescription
memory_idstringyes–

No output schema declared.

No examples provided.

memory_export ~29

Export all memories as an OKF bundle directory or tar.gz archive.

NameTypeReqDescription
pathstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

memory_feedback ~129

Report which search results you used from a previous memory_search call. Call this after using results from memory_search to help SmartMemory learn which memories are actually useful. Pass the search_session_id from the memory_search response and the item_ids you incorporated into your response.

NameTypeReqDescription
result_usedarrayyesList of item_ids from the search results that you used. Pass an empty list if none of the results were useful.
search_session_idstringyesThe session ID returned at the bottom of the memory_search output (e.g. "search:ws123:abc456def789").
NameTypeReqDescription
resultstringyes–

No examples provided.

memory_get ~28

Retrieve a memory item by ID with full content and metadata.

NameTypeReqDescription
item_idstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

memory_import ~28

Losslessly import an OKF bundle through the direct add path.

NameTypeReqDescription
pathstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

memory_ingest ~36

Ingest content through the full NLP pipeline with entity extraction.

NameTypeReqDescription
contentstringyes–
memory_typestring––
NameTypeReqDescription
resultstringyes–

No examples provided.

memory_migrate ~31

Migrate all memories to a different backend via a temporary OKF bundle.

NameTypeReqDescription
targetstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

memory_policy_bundle ~73

Compile active workspace decisions into a Stratum policy bundle. ``workflow`` is echoed in the selector for the runner. ``domain`` narrows the source decisions. The returned JSON is the policy-exchange contract bundle and is identical for local and hosted backends.

NameTypeReqDescription
domain–––
workflow–––

Structured output declared, but exposes no named fields.

No examples provided.

memory_recall ~113

**Deprecated:** Use ``get_working_context``. Legacy surface kept for backward compatibility. Internally delegates to the surfacing helper (CORE-MEMORY-DYNAMICS-1 M1a) and post-filters cross-type results through ``_LEGACY_RECALL_TYPE_SCOPE`` to preserve the pre-shim ``memory_type="working"`` scope.

NameTypeReqDescription
citeboolean––
querystringyes–
session_id–––
top_kinteger––

No output schema declared.

No examples provided.

memory_recall_pack ~230

Assemble the most useful context that fits in a token budget. Returns one priority-ordered block (active plan, anchors, latest snapshot, tier-1 user content, tier-2 graduated content, notes) packed to fit ``budget_tokens``, plus a manifest accounting every token spent and every item truncated or dropped (CORE-RECALL-BUDGET-1). ``query`` ranks each section by relevance; omit it to rank by recency. ``sections`` overrides the default list/order/caps as ``{name, cap_tokens}`` entries. ``preset`` selects a named section set instead: pass ``"wakeup"`` with a small budget (~300 tokens) at session start for an L1 orientation card (active plan, anchors, workspace topics, last-session headline) — the default sections go degenerate at that size. Use ``get_working_context`` for the L2 drill-in. Returns ``{block, manifest}``.

NameTypeReqDescription
budget_tokensintegeryes–
preset–––
query–––
sections–––

Structured output declared, but exposes no named fields.

No examples provided.

memory_search ~475

Search memories using semantic similarity with optional hybrid mode. hop_strategy: consensus follows entities several top results agree on; relevance follows best-result entities and one-off bridges; semantic asks an LLM. since/until: ISO-8601 or relative (7d, 24h, 30m), echoed as an absolute window. as_of_date (ISO-8601) travels transaction time: what the system believed at that instant. include_superseded keeps replaced items visible in results (PLAT-AUDITABLE-MEMORY-1). include_retracted keeps WITHDRAWN beliefs visible (CORE-RETRACTED-RECALL-1) — a separate lifecycle state with no replacement, not covered by include_superseded. include_archived keeps ARCHIVED items visible (CORE-ARCHIVED-RECALL-1) — memories the decay/prune evolvers retired, or the source an episodic-to-semantic promotion replaced; a third lifecycle state, again with no replacement and no version chain. All three default to false, so by default you will not be shown a memory the system already knows was replaced, withdrawn, or retired. Results from an as_of_date search carry as_of_resolution. A value of "unresolved" means that result is PRESENT-DAY content the system could not resolve to the requested time, so it must not be cited as what was believed then. Set as_of_strict to refuse a partial history outright rather than receive labelled results (gap #2).

NameTypeReqDescription
as_of_date–––
as_of_strictboolean––
budget_msinteger––
catalog_modeboolean––
channel_weights–––
citeboolean––
decomposeboolean––
enable_hybridboolean––
hop_strategy–––
include_archivedboolean––
include_retractedboolean––
include_supersededboolean––
max_hopsinteger––
memory_type–––
multi_hopboolean––
querystringyes–
since–––
top_kinteger––
until–––

No output schema declared.

No examples provided.

read_around ~219

Auto-centered conversation read (CORE-RECALL-CENTERED-1 Phase 2). Given a matched conversation-chunk ``item_id`` (from a recall hit's ``conversation_handle``), return a char-budgeted ASYMMETRIC window of the surrounding conversation chunks (~``before_ratio`` back / ``after_ratio`` forward; leftover spills to the other side) plus a continue-cursor — so a caller pulls just the relevant slice of a long conversation into context instead of the whole transcript. "Centered" is over neighbour 15-turn chunks, not individual turns. Returns ``{window_items, window_text, handle, continue_cursor:{prev_pos, next_pos}, chars_used, char_budget}``. Pass a returned ``continue_cursor`` back as ``cursor`` to page further in one direction without overlap.

NameTypeReqDescription
after_rationumber––
before_rationumber––
char_budgetinteger––
cursor–––
item_idstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

switch_team ~23

Switch to a different workspace/team.

NameTypeReqDescription
team_idstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

whoami ~22

Show current session: user, team, tier, and backend mode.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultstringyes–

No examples provided.

Common questions

What is the SmartMemory MCP server?

SmartMemory is an MCP server listed in the public MCP registry as ai.smartmemory/smartmemory-mcp. Graph + vector memory for agents: recall, ingest, search, distill. Local or remote backend. This page covers its PyPI package (smartmemory-mcp).

Is the SmartMemory MCP server safe to use?

SmartMemory scores 57 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 27 September 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 SmartMemory MCP server expose?

SmartMemory exposes 17 tools: login, whoami, switch_team, memory_ingest, memory_search, and 12 more. Their descriptions and schemas cost roughly 1,901 tokens of context every time the server is loaded.

Is the SmartMemory MCP server still maintained?

SmartMemory is still listed as active in the MCP registry. We last reached this channel on 27 September 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 SmartMemory MCP server under?

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