⚡Stack Radar

Autonomous Agents · Reviewed 16 Oct 2026

claude-mem / CMEM Pro

Open-source memory for AI agents with optional cloud sync.

from $30 · free tier · cmem.ai ↗

Paid against free › Autonomous Agents › claude-mem / CMEM Pro

claude-mem / CMEM Pro at a glance

SEO analysis

Collected Oct 5, 2026

cmem.ai: an estimated 98,854 total monthly visits and about 946 monthly organic visits across 27 ranking keywords. Scout crawled 15 pages and measured a technical health score of 98/100.

98.9KEstimated total trafficModeled monthly visits27Ranking keywordsPublic search sample98/100Technical health15 pages checked683Referring domainsLive backlink summary

Overview

01

Summary

The useful answer before the supporting detail.

AI modelmem is an open-source memory engine that captures useful notes while AI agents work, storing them locally on your machine S1. Developers and teams use it to persist decisions, discoveries, and fixes across sessions, avoiding repeated context loss S53. CMEM Pro extends this with hosted observation, cloud sync, and a private MCP link, enabling recall from compatible clients like ChatGPT S1 S4.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: AI modelmem is an open-source memory engine for AI agents, with CMEM Pro as its cloud service S1.
  • Core purpose: It solves the problem of AI agents losing context between sessions by capturing and recalling notes S1 S53.
  • Intended users: Developers and teams using AI coding agents like AI modelCode, Cursor, and Codex S53.
  • Product scope: A local engine plus optional cloud sync; not a full platform, but a memory layer S4 S115.
  • Positioning: The vendor positions it as keeping your work context available everywhere, across sessions and tools S53.
  • Claimed distinction: It claims to be built with the open-source community and offers a free engine S1 S53.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
Developers using AI modelCodeCapture and recall project decisions and fixes across sessions S4 S53.
Teams using Cursor or CodexSync memory across machines and recall via MCP clients S124.
ChatGPT usersSearch synced memories to pick up past work S9.
Security teamsConnect CMEM history to security checks and alert recipients S147.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Automatic captureCaptures useful notes while your agent works, storing them locally S4 S53.
RecallRecalls synced notes via MCP, allowing agents to search past decisions and fixes S4 S124.
Cloud syncSyncs captured memory across connected machines via CMEM Pro S1 S53.
Private MCP linkProvides a private MCP connection for recall from compatible clients S53.
Read-only ChatGPT recallAllows ChatGPT to search and read cloud memories without modifying them S9 S124.
Progressive recallLets agents find a note before reading its details, reducing token use S53.
Activity feedFollows activity from connected agents in a shared log S147.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
ChatGPTIntegration (MCP)Search and read synced memories via custom MCP connection S9.
Cursor, Codex, AI modelCLI, WindsurfMCP clientsRecall synced project notes via private MCP link S124.
PiIntegration (extension)First-party memory integration for Pi agent S125.
AI modelHarnessIntegrationFirst-party memory integration for AI modelHarness S125.
VS Code extensionsMCP clientsCompatible VS Code extensions can use private MCP link S124.
MCP APIAPIPublic server URL for custom MCP connections S9.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Open-source engineFree S115Local memory capture and recall S115Not established
CMEM Pro$30/month S115Hosted observation, cloud sync, private MCP link S115Not established
CMEM Heavy$70/month S115Not establishedNot established
CMEM Max$100/month S115Not establishedBilled overages above included allowance S115
30 Day Free TrialFree for 30 days S115Included usage S115Not established
TeamBrainPilot seats, onboarding, scope, and price agreed on a fit call S115Not establishedNot established

Competition

12

Alternative tools

Named from this report, then each website opened and checked before it is shown.

LlamaIndexLlamaIndex | AI Agents for Document OCR + WorkflowsIt's an open-source data framework for LLM applications, similar in purpose but offers broader data integration and indexing capabilities.LangChainLangChain: the open agent platform to own your intelligenceThis is a popular open-source framework for developing LLM applications, providing tools for memory management and agent orchestration.PineconeThe trusted AI knowledge company | PineconeIt's a managed vector database for AI applications, offering scalable semantic search and memory storage as a cloud service.WeaviateThe AI database developers love | WeaviateThis is an open-source vector database that allows for semantic search and storing AI agent memories, with both self-hosted and cloud options.

4 verified

13

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
github.com213AI modelmem
reddit.com112AI modelmem
docs.bswen.com113AI modelmem
generativeai.pub114AI modelmem
linkedin.com116AI modelmem
skillsdirectory.com117AI modelmem
docs.AI modelmem.ai118AI modelmem

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

No supporting public-page evidence was collected for this category.

Independent review sources discovered

No links to supported independent review platforms were discovered on the collected pages.

15

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 1.1%

Scout traffic model did not return a separate AI-referral trend series for this domain.

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
otherAI agent memory, everywhere. claude-mem is open-source memory for Claude Code; cmem links it to any MCP client — Cursor, Codex, more — via one private link.https://cmem.ai/
identityThe story behind claude-mem and cmem: open-source memory for AI agents, and the cloud that links it everywhere through one private MCP link.https://cmem.ai/about
otherAI agent memory, everywhere. claude-mem is open-source memory for Claude Code; cmem links it to any MCP client — Cursor, Codex, more — via one private link.https://cmem.ai/
identityclaude-mem is open-source memory for Claude Code and other AI agents. Instead of re-explaining your context every session, your agent remembers what it did, what you decided, and why — searchable across every project, stored local-first on your own machine.https://cmem.ai/about
identityWe are a small team building in the open. The engine is free and open source; CMEM Cloud is the hosted sync layer for people who want that memory everywhere. If that resonates, the best way to follow along is to star us on GitHub or say hello at hello@cmem.ai.https://cmem.ai/about
otherNotes on memory for AI agents, the cloud that links it everywhere, and what we ship along the way.https://cmem.ai/blog
integrationsclaude-mem installed and connected to cloud sync. Use version 13.12.0 or later. The claude-mem documentation covers installation.https://cmem.ai/docs/chatgpt
integrationsLet the installer save the connection settings and restart the worker. You do not need to copy a sync token into an AI chat.https://cmem.ai/docs/chatgpt
changesObserver prompts that providers can cache. A provider's prompt cache (OpenRouter's, or the cmem.ai gateway's) can only reuse the part of a prompt that starts exactly as before. The observer's first and follow-up prompts now both open with the same block of fixed instructions, which depends only on the mode, followed by the session's context, the user's request and the follow-up text. In the code mode, two sessions' prompts now share their first ~7,260 characters, up from 422 (and from none between a first and a follow-up prompt). Only the order changed, plus one word ("below" became "above") in 33 modes, and the Claude SDK and Codex paths open the same way. (#4415)https://cmem.ai/changelog
changesSession and trace labels on OpenRouter requests. Observer requests that reach OpenRouter, directly or through the cmem.ai gateway, now include a `session_id` (a one-way SHA-256 hash of the Claude Code session id) and a `trace` with a random `trace_id` per observer conversation, `trace_name` `claude-mem observer`, a `generation_name` naming the request (`init`, `observation`, `summary`, `field_compression` or `telegram_wrapup`) and `claude_mem_version`. OpenRouter uses the session id to keep a session on the provider that holds its prompt cache, and OpenRouter Broadcast maps the labels to PostHog's `$ai_session_id`, `$ai_trace_id` and `$ai_span_name`. No path, project name or text you wrote is included, and custom base URLs and `openai-compatible` endpoints get neither field. (#4418)https://cmem.ai/changelog
changesSlow replies are waited for, not paid for twice. OpenRouter and OpenAI-compatible observer requests now stream behind the scenes, so a slow but working reply is kept alive by its progress (a 90-second idle limit and a 300-second cap) instead of being cut off at a fixed deadline and billed again. `CLAUDE_MEM_LLM_TIMEOUT_MS` now applies only to requests that do not stream: Gemini, Codex, the cmem.ai gateway, and an endpoint that rejects streaming, which is detected once and remembered. A paid request is resent only when the provider provably did no work (a 429 or a refusal before sending); each batch gets at most two paid sends, and a batch that uses them up is parked and logged, never silently dropped. (#4368)https://cmem.ai/changelog
changesCloud sync live updates over Supabase Realtime. For cmem.ai Pro cloud sync, the worker gets live updates from a private Supabase Realtime channel instead of the sync hub's WebSocket and pulls whenever another device announces changes. A server without Realtime leaves the client polling, and `CLAUDE_MEM_CLOUD_SYNC_WS=false` still turns live updates off. (#4368)https://cmem.ai/changelog

These are first-party product claims, not independent measurements of AI-search visibility.

16

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Striking-distance keywordMove “cmem” from position 6 toward the top three.Volume 110 · https://cmem.ai/features
Important pageStrengthen the page already earning search visibility before creating an unrelated page.https://cmem.ai/features · 1 sampled keywords · best position 6
Competitor gapReview the sampled queries where github.com appears.2 first-page appearances across AI modelmem

Website intelligence — Collected evidence

Website evidence gaps

  • customers: no usable public page was collected; verify whether the site publishes this evidence.
  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

17

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

No citation-grounded independent review links were found.

Customer proof

No named customers, testimonials, or customer case studies were found.

Independent mentions

  • All your context. Everywhere. All at once. — AI modelmem — AI modelmem keeps structured notes outside the chat. CMEM Pro makes that history available through your private MCP connection. ... Yes. The local AI modelmem engine is open source. CMEM Pro is the paid hosted observation and cloud sync service.
  • The product — AI modelmem — AI modelmem captures useful notes while your agent works. CMEM Pro adds hosted observation and cloud sync, so the decisions, discoveries, and fixes stay available across connected tools. ... Install the open-source engine. Add CMEM Pro when you want hosted
  • About — AI modelmem — AI modelmem is open-source memory for AI modelCode and other AI agents. Instead of re-explaining your context every session, your agent remembers what it did, what you decided, and why — searchable across every project, stored local-first on your own machine. ... CMEM Pro adds hosted observation and cloud sync. One private MCP link gives any MCP client — Cursor, Codex CLI, AI modelCLI, and more — secure access to your memory from anywhere, without giving up the local-first foundation that keeps you
  • How AI modelmem works / A visual field guide — The memory database, index, settings, and logs live on your machine. A chosen AI provider processes material for compression. Optional cloud sync can carry the finished memory between machines, but local capture keeps working on its own.
  • Pricing — AI modelmem & CMEM Pro — The engine is free and open source. CMEM Pro adds hosted observation and cloud sync. Choose a usage tier that fits the work you do. ## AI modelmem ... ## CMEM Pro ... $30/ month ... Your captured context, synced across connected machines and available through your private MCP link.
  • CMEM Pro — 30 Day Free Trial — CMEM Pro — 30 Day Free Trial CMEM Pro — 30 Day Free Trial AI modelmem
  • Connected context — AI modelmem — Capture project work with a supported AI modelmem integration. Use CMEM Pro to sync it and make it available to MCP clients through your private connection. ... Use your private MCP link from clients such as Cursor, Codex, AI modelCLI, Windsurf, and compatible VS Code extensions. Setup and available capabilities vary by client.
  • Introducing CMEM Cloud: your agent's memory, linked everywhere — cmem.ai — CMEM Cloud is the cloud that links your local-first memory everywhere. One private MCP link gives any MCP client — Cursor, Codex CLI, AI modelCLI, and more — secure access to your memory from anywhere, without giving up the local-first foundation that keeps your data yours.

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

18

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipNot published on the collected pages.—
Contact and supportContact support@cmem.ai with the message you see. This connection uses OAuth: you approve access in the CMEM sign-in window. Keep tokens and API keys out of ChatGPT and the server URL.source
Legal and privacyThe local engine stores memory on your machine. If you enable cloud sync, synced data is also stored by CMEM. Review the privacy policy before connecting.source
Security and complianceUse encrypted, authenticated connections. Keep private keys and live credentials out of the public repo.source
ReliabilityNot published on the collected pages.—
Domain registered2026-01-10—
Domain expires2028-01-10—

Not published in the collected sources: company and ownership, reliability. Absence here means the site does not state it publicly, not that it is false.

19

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
Connect CMEM to ChatGPT / Setup guideGuideConnect your AI modelmem memories to ChatGPT. Set up cloud sync, sign in to CMEM, and search your project history with this step-by-step guide. (source)Not dated
Changelog — what shipped in AI modelmemChangelogRelease notes for AI modelmem, the open-source memory engine behind cmem. Pulled live from the project CHANGELOG on GitHub. (source)Not dated
Connect CMEM to ChatGPT / Setup guideRoadmapPublic product roadmap. (source)Not dated

Not found in the collected public sources: status page, separate help center or knowledge base.

Technical

20

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Local engine stores memory on your machine; CMEM Pro adds cloud sync S53.S53
Platforms and appsWorks with AI modelCode, Cursor, Codex, AI modelCLI, Windsurf, and compatible VS Code extensions S124.S124
API and extensibility (API, SDK, webhooks, MCP, plugins)Provides a private MCP link and supports custom MCP connections S53 S124.S53
Data ownership and exportLocal memory stays on your machine; synced data stored by CMEM S53 S115.S53
Performance and reliability claimsNot published on the collected pages.—
Release activityChangelog documents releases, including version 13.34.0 with new integrations S125.S125
21

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
Domain registered2026-01-10 — Cloudflare, Inc
Domain expires2028-01-10
TLS certificateLet's Encrypt, valid, expires 2027-01-05
Security headersHSTS
Headers not servedCSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Server headerVercel
Mail handled bysmtp.google.com
Nameserverskate.ns.cloudflare.com, ivan.ns.cloudflare.com

Not measurable: wayback: wayback timed out; wayback: wayback timed out; wayback: ladder budget spent after 2 probe(s); rdap: exceeded the overall budget; wayback: exceeded the overall budget; tls: exceeded the overall budget; dns: exceeded the overall budget; headers: exceeded the overall budget. A gap here means the lookup was unavailable, not that the finding is negative.

22

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 98/100
  • Critical issues: 0
  • Warnings: 4
  • Notices: 2

Issues

SeverityIssueValueAffected URL
warningMissing canonical URL—https://cmem.ai/login
noticeLow visible word count50https://cmem.ai/login
noticeMeta description length should be reviewed287https://cmem.ai/pro
warningPage should have one primary H10https://cmem.ai/pro
warningDuplicate meta description in audit sample2https://cmem.ai/
warningDuplicate meta description in audit sample2https://cmem.ai/login

Crawled pages

StatusTitleH1sWordsResponseURL
200AI modelmem + cmem — AI agent memory, everywhere11301421 mshttps://cmem.ai/
200Features — the cmem memory layer, end to end154377 mshttps://cmem.ai/features
200Integrations — every agent, IDE & MCP client158680 mshttps://cmem.ai/integrations
200cmem.ai — AI agent memory, everywhere150109 mshttps://cmem.ai/login
200AI modelmem for Cursor — memory for your AI agent160661 mshttps://cmem.ai/for/cursor
200CMEM for ChatGPT \Your project memory, connected1132154 ms
200AI modelmem for Windsurf — memory for your AI agent158243 mshttps://cmem.ai/for/windsurf
200AI modelmem for Codex CLI — memory for your AI agent160078 mshttps://cmem.ai/for/codex
200CMEM TeamBrain \Your team’s context, working together1280736 ms
200CMEM TeamBrain Design Partners \Build with us167298 ms
200CMEM Pro — free trial up to 14 days, then $30/mo030156 mshttps://cmem.ai/pro
200Blog — cmem.ai136443 mshttps://cmem.ai/blog
200Changelog — what shipped in AI modelmem156924370 mshttps://cmem.ai/changelog
200How AI modelmem works \A visual field guide165465 ms
200Skills — 11 bundled slash commands151650 mshttps://cmem.ai/skills

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

23

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct54.2%
search39.8%
search organic39.8%
search paid0.0%
social2.2%
social organic1.8%
social paid0.4%
referrals2.2%
paid referrals0.0%
mail0.6%
gen ai1.1%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

Limits and method

24

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention any competitors by name. Evidence gaps include lack of detailed pricing limits, security certifications, and independent reviews. Open questions: how does CMEM Pro handle data retention and deletion? What are the exact usage limits for each plan? How does TeamBrain differ from existing plans?

25

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from cmem.ai, including product, pricing, integrations, changelog, and security pages. Static and browser rendering rendering were used; external proof search was enabled but only verified the existence of linked results, not their content. Limitations: no independent reviews or customer testimonials were collected, and some claims (e.g., GitHub stars) rely on the site's own statements.

Paid against free, in your inbox

One job at a time: the paid tools worth paying for, the free ones you can run yourself, and who should pick which.

No tracking pixels. One click to leave. We use your address to send Stack Radar and nothing else. Privacy.