Products

TIMPs

AI-nativeMCP

AI research and Engineering for Human Intelligence

timps-website.vercel.app AI Models & Agents / Agent Tools & MCP Servers

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Oct 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Creators
Sandeep Thummala
@timps_ai· 1 followers
Launched
9mo ago
2026-02-22 · Est.

Traffic

Last 12 months
Monthly visitsData through Oct 2026
Events1 marketing move

Marketing moves

Launches, search & content, referrals, promotions
X accounts@timps_ai

  • Launched on Product HuntLaunch

    Persistent memory layer for AI agents

    Feb 22 · 9mo agoLaunch page

MCP Server & Agent Ecosystem

GitHub · MCP / Skill

Agent, MCP & Developer Integration

MCP Server
Ecosystem & integrations:
SlackNotionLinear
Exposed tool capabilities:
Agent MemoryOne hotkey, everywhereAuto-pasteYour vocabularyLocal history
Browse all MCP Server products →

Traffic sources

Oct 2026

Traffic breakdown

Channels

No data yet

Countries

No data yet

Search

Domain authority —Domain registered 2020-01-28

No search keyword data for this website yet.

Traffic data: Vaneform

Pricing

Website does not list public plan prices.

Trial: None · Observed 2026-11-09 · Source page

Pages & changes

Tracked since 2026-02-22

Key pages

Weekly snapshots
timps-website.vercel.app/ Snapshot 2026-11-09

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much website traffic does TIMPs get?
Vaneform estimates <5K website visits in 2026-10. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is TIMPs and what platforms does it support?
TIMPs is catalogued under Agent Tools & MCP Servers: AI research and Engineering for Human Intelligence. Supported platforms: Web.

Related products in this category

AI Models & Agents / Agent Tools & MCP Servers

These products share a catalog category. Compare customer tasks, features and deployment requirements before treating them as alternatives.