Datagran

We need a new class of CRM that turns conversations into context. A system that stores not only a person’s profile, but also their relationships and how those relationships formed. Today I am launching persona360, an open source CLI based project that moves away from field

I just couldn't take this happening to people anymore! Today we are launching the most advanced memory layer as an OpenClaw plugin: github.com/datagran-auth/… It combines several innovations to give your ClawBot true universal memory by mimicking how the human brain behaves: -

Everyone is saying OpenClaw does not have a real use case. Yesterday, I ran a 35 minute long running complex, end to end task for my trading activity since 2025, with cero intervention. Here was the prompt: “In the Data agent, I have a stocks PostgreSQL database. In it, my

AI agents are getting out of control. It is clear now that they need more control and context. We can achieve this by building the framwork needed to operate safely and intelligently. How?: - Intelligence layer: OAuth that allows easy opt-in without needing to build apps. - Tracing: Track every action the AI takes. - Security: Control what the AI can do and ensure key encryption. - Personas: Other AIs observing every call to detect potential security flaws or control messaging. - Memory: Universal memory not just for context, but also enabling caching. At @DataGran, we have been building this for months. If you want your @openclaw or gogroovy agents to securely operate with context, this is the correct way to do it. More info here datagran.io/intelligence

Everyone's talking about OpenClaw's security disaster, 135,000+ instances exposed on the open internet, API keys leaking, remote code execution on anyone's machine. So the obvious question: does gogroovy.ai have the same problems? I audited our own codebase against

We’ve been working on an AI that actually does things. Basically the @openclaw alternative, but easier to install, way more powerful, and built for teams. Features: - Invite your team - Integrates with data sources like Salesforce, Supabase, Meta, and many more - Computer

Introducing the MCP that’s not an MCP. There are many new apps and services in the market that promise access to your data through AI. I am a firm believer that OpenAI or Anthropic will eventually kill most of these solutions. The reason is simple: they own the models and the

I’ve been working on memory for AI agents for a while now. I believe this will be one of the biggest unlocks if done well. Currently, there are four ways to fetch memory in AI systems: - RAG - Prompt injection - Beacon compression - Compaction (what most IDEs use) There is no

There’s a lot of hype around Clawbot or Moltbot, and it’s well deserved. We all agree it’s a developer tool and that it was meant to inspire us all. For the past several months, after @mckaywrigley shared his Claudeputer demo, I’ve been building something similar. My focus has

THE YEAR OF AI CONTEXT IS HERE. For the past few months I’ve been working on Context for AI models. I genuinely believe this is one of the biggest opportunities in the industry right now. Because context is messy. Most models choke at ~100k tokens. And “just do RAG” often

The @DataGran + @Lovable Connector is here. You can now create apps, dashboards, or anything else by connecting directly to any data source like Facebook Ads, Instagram, Google Ads, @supabase, and more. The cool thing is that Datagran is not a traditional MCP. The Lovable LLM

I’ve been diving deep into MCPs. It’s not new that I’ve been critical of them. My main complaint is that they constrain AI. MCPs are basically a hard-coded layer for AI, which feels counterproductive because the whole point of AI is to produce code and outputs in real time. As AI

Analyzing your marketing data just became easier with @Datagran. Use Claude, Replit, Cursor or any other platform that supports MCP to query your ad insights and create apps or dashboards. To start using it, just add our MCP URL which you can find on our website.

I believe that as the big AI frontier LLM builders like OpenAI and Google gain ground into building Superior Intelligence, it will be very hard for any company building app layers to win. Now, I think there’s a big opportunity in terms of security and gating this AI systems.

RT @charlesmendez: Your agents can now easily connect to Facebook ads and more to create campaigns, get insights and more! @DataGran handl…

Still a week to go and user growth looks good! @trydgi and experience the best data agent ever!

New benchmark focused on AI data agents is out, including Julius AI. Key findings: - @trydgi leads with an overall score of 0.9037, about 33% higher than the best generic model. - Almost all platforms or LLMs failed on the unstructured, tougher sessions JSON. DGi asks a

If you are looking for a reliable and accurate data agent to embed on your platform look no further @trydgi Have your clients ask about their spend, their performance, their orders, among many more.

Excited to announce the DGi Developer API. We recently shared that @trydgi is the most accurate data analyst in the market, and just this week we launched computer use. Now you can embed our agents into your organization however you want.

This is the most insane demo I’ve done! Personalization in marketing is hard to do at scale. Imagine creating an ad for every person with the right image and message based on that user’s behavior. Traditionally, companies don’t have the bandwidth to do this, so ad agencies