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When Active VS ContextForge.dev

Compare When Active VS ContextForge.dev and see what are their differences

WA
When Active

Target your tweets to the right people at the right time

Rating
0 reviews
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Alternatives Is it good?
ContextForge.dev

Stop re-explaining your project to Claude every session. ContextForge adds persistent memory to Claude Code, Cursor, and Copilot via MCP. Free tier, 3-minute setup.

Rating
0 reviews
Pricing
Freemium $9 / Monthly (Pro — 15k queries/mo, 5 collaborators)
Promote on VibeVoted
Alternatives Is it good?
Preferred Patron
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Which is more popular?

Based on our record, ContextForge.dev seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Productivity popularity
70% vs 30%
alternatives listed
24 vs 2

Base details

Website, pricing, platforms and company facts side by side.

WA
When Active
ContextForge.dev
Website whenactive.com contextforge.dev
Pricing —
Freemium $9 / Monthly (Pro — 15k queries/mo, 5 collaborators) Official pricing
Platforms —
SaaS Web Mac Windows Linux +2
Company — Startup from the United States · 2026
Listed in
Web App Productivity Social Network Email Marketing Data Dashboard +2
AI MCP Servers AI Agents Productivity Developer Tools Design Tools AI Writing AI Tools Software Directory Utilities +7

About When Active and ContextForge.dev

In their own words, as submitted to SaaSHub.

WA
When Active
ContextForge.dev

No description of When Active yet.

ContextForge is persistent, searchable memory for AI coding agents — built on the Model Context Protocol (MCP). Your AI assistant forgets everything when the session ends. ContextForge fixes that: save architectural decisions, naming conventions, and debugging context once, and any MCP client...

Read more about ContextForge.dev

Features and specs

What each product offers, as listed by its team.

WA
When Active 5 features
ContextForge.dev 6 features
  • User-Friendly Interface
    When Active offers an intuitive and easy-to-navigate interface, making it accessible for users of all technical skill levels.
  • Comprehensive Activity Tracking
    The platform provides extensive tracking capabilities for various physical activities, allowing users to monitor their progress and performance over time.
  • Customizable Workouts
    Users can tailor their workout plans to fit their individual goals and preferences, enhancing the personalization of their fitness journey.
  • Community Support
    The platform offers a strong community feature where users can connect, share experiences, and motivate each other.
  • Integration with Wearable Devices
    When Active integrates with numerous wearable fitness devices, enabling seamless tracking of health and fitness metrics.

Possible disadvantages

  • Limited Free Version
    While When Active does offer a free version, it is limited in features and functionality, encouraging users to upgrade to a paid plan for full access.
  • Subscription Cost
    The premium features of When Active are behind a subscription paywall, which might be costly for some users seeking more comprehensive access.
  • Dependency on Stable Internet Connection
    Users need a stable internet connection to access all features and functionalities, which could be a limitation in areas with poor connectivity.
  • Privacy Concerns
    As with many activity-tracking apps, there might be concerns regarding the privacy and security of user data, which could deter some users.
  • Potential for Information Overload
    Beginners might find the vast amount of information and tracking data overwhelming if they prefer a more straightforward approach to fitness.
  • Semantic Search
    Vector search (pgvector) — recall by meaning, not keywords
  • Git Integration
    Auto-ingests commits and PRs as searchable knowledge
  • MCP-Native
    Works with Claude Code, Cursor, Copilot, ChatGPT, Windsurf
  • Task Tracking
    Work items your agent can read, create, and update
  • Snapshots
    Version and restore your entire knowledge base
  • Team Sharing
    Shared spaces and memory across your team

Analysis

An editorial look at what each product does well and who it suits.

WA
When Active
ContextForge.dev

Overall verdict

  • When Active is a solid tool for tracking and monitoring online activity and availability status, offering a straightforward way to see when contacts or accounts are active. It is considered good for its simplicity and focus, though users should verify current features and privacy compliance for their specific needs.

Why this product is good

  • Provides clear visibility into activity and availability status
  • Simple, focused interface that is easy to use
  • Useful for coordinating communication and understanding online presence
  • Can help improve responsiveness and timing of outreach

Recommended for

  • Individuals wanting to monitor online availability of contacts
  • Teams coordinating communication across time zones
  • Users who value simple activity-tracking tools
  • People looking to optimize the timing of their outreach or messages

Overall verdict

  • I don't have verified, specific information about ContextForge.dev, so I can't confirm its quality, features, or reputation with confidence. It may be a legitimate niche developer tool, but you should independently verify it before relying on it.

Why this product is good

  • I have no reliable data on this specific domain's product, pricing, reviews, or track record
  • The name suggests it may relate to 'context' management for AI/LLM development, but this is speculative
  • Unverified tools can carry risks around data security, support quality, and long-term viability
  • Small or new dev tool sites can be legitimate but lack the review history needed for a confident assessment

Recommended for

  • Users who independently research and verify the site's legitimacy first
  • Developers curious about niche AI/context-management tools who are comfortable testing new services
  • Not recommended for critical production use without due diligence, given the lack of verifiable information

Videos

Walkthroughs and reviews on video.

WA
When Active 0 videos + Add
ContextForge.dev 3 videos + Add

No When Active videos yet. You could help us improve this page by suggesting one.

How to Make Claude Run Automated Workflows (ContextForge Skills Tutorial)

More videos

  • - Schedule AI Prompts on a Cron with ContextForge Routines
  • - Your AI Assistant Forgets Everything — Here's the Fix MCP Memory

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
WA
When Active
ContextForge.dev
70% 70%
Productivity
30% 30%
0% 0%
AI
100% 100%
100% 100%
Web App
0% 0%
0% 0%
Developer Tools
100% 100%

Questions & Answers

As answered by people managing When Active and ContextForge.dev.

What makes your product unique?

ContextForge.dev's answer:

ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once — Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf — not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing — all through a single MCP server you add with one command.

Why should a person choose your product over its competitors?

ContextForge.dev's answer:

Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.

How would you describe the primary audience of your product?

ContextForge.dev's answer:

Software developers and engineering teams who use AI coding assistants — Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf — and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.

What's the story behind your product?

ContextForge.dev's answer:

ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol — so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.

Which are the primary technologies used for building your product?

ContextForge.dev's answer:

Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.

User comments

Share your experience with using When Active and ContextForge.dev. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

WA
When Active 0 mentions
ContextForge.dev 2 mentions

Tracking When Active since Feb 2022.

  • Shared Memory for Multiple AI Coding Agents (What They Already Share, and What They Don't)
    Init links the folder to a project, so every agent working in that repo reads and writes the same memory, and it adds the rules that make sessions check who else is live before big changes. For Cursor, Copilot, Claude Desktop and... - Source: dev.to / 15 days ago
  • Why AI Coding Agents Contradict Earlier Decisions (and How to Stop It)
    I built ContextForge because I was losing this argument with my own agents several times a week. The idea is small: when we decide something, the agent saves the decision with the reason, in the project's memory. The next session, in... - Source: dev.to / 29 days ago

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