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Mel by Skymel-  Persistent Open-Web intelligence Infr...1.1.1Version update1.1.1Sep 4, 2026Get the public-web data or intelligence you need at a microscopic contextual depth that ordinary search, feeds, and one-off research can’t reach.
Meet Mel — open-source intelligence infrastructure for teams and agents.
Open Source Intelligence (OSINT) is the discipline of tracking massive volumes of fragmented public information to anticipate a target’s next move. For decades it was restricted to defense agencies and enterprise risk teams backed by armies of analysts.
Mel automates that discipline for everyone else.
Tell Mel what kind of data or intelligence you need from the open web. That becomes the objective.
Mel figures out where to look, discovers the relevant sources, collects the signals, resolves the entities behind them, and keeps connecting what it finds as new information appears.
Want the data? Signal Mode streams it into your agents, models, or systems.
Want the answer? Intelligence Mode turns it into a report on what it means for your objective and what to do next.
First report is free. logo

Mel by Skymel- Persistent Open-Web intelligence Infr...1.1.1Version update1.1.1Sep 4, 2026Get the public-web data or intelligence you need at a microscopic contextual depth that ordinary search, feeds, and one-off research can’t reach. Meet Mel — open-source intelligence infrastructure for teams and agents. Open Source Intelligence (OSINT) is the discipline of tracking massive volumes of fragmented public information to anticipate a target’s next move. For decades it was restricted to defense agencies and enterprise risk teams backed by armies of analysts. Mel automates that discipline for everyone else. Tell Mel what kind of data or intelligence you need from the open web. That becomes the objective. Mel figures out where to look, discovers the relevant sources, collects the signals, resolves the entities behind them, and keeps connecting what it finds as new information appears. Want the data? Signal Mode streams it into your agents, models, or systems. Want the answer? Intelligence Mode turns it into a report on what it means for your objective and what to do next. First report is free.

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Overview

  • Reach intelligence depth that ordinary search, feeds, and one-off research cannot achieve with automated OSINT infrastructure that tracks fragmented public information at microscopic contextual depth.
  • Anticipate your target's next move by automating the full OSINT discipline—source discovery, signal collection, entity resolution, and continuous connection of new information as it appears.
  • Stream open-web data directly into your agents, models, or systems through Signal Mode, eliminating manual data gathering and integration work.
  • Get actionable intelligence reports that explain what collected data means for your objective and what to do next via Intelligence Mode.
  • Deploy open-source intelligence capabilities previously restricted to defense agencies and enterprise risk teams without building an analyst army.
  • Start immediately with no signup required and receive your first intelligence report free.
  • Integrate with your existing agent stack through supported APIs and MCP for seamless data flow into production systems.

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❓ Frequently Asked Questions

Neetu Pathak 🛠️ 2 tools 🙏 20 karma wrote:Skymel LEGATO is an Autonomous Agent Design and Deployment Kit. It allows you to go from a single prompt to a production-ready agent in hours rather than months. It automates the massive manual effort typically required to plan, test, and harden an AI agent for real world use.
Neetu Pathak 🛠️ 2 tools 🙏 20 karma wrote:You can, but the process is a massive manual grind. Most tools help you get a "skeleton" demo working quickly, but they leave the hard work to you. You are stuck manually wiring tools, testing for edge cases, validating outputs, and patching failures. LEGATO is different because it builds the "muscles" too. It automates the entire planning and validation phase so you can ship a reliable agent behind an API instead of a fragile prototype.
Neetu Pathak 🛠️ 2 tools 🙏 20 karma wrote:The first demo is cheap because it only has to work on few test cases and expectation from it is low. Production agents have to work every time. Without LEGATO, engineers burn over 1,000 hours manually creating test inputs, finding where the logic breaks, tweaking prompts, and re-validating the entire workflow. LEGATO compresses this by auto-generating test runs and self-correcting the plan until every edge case passes.
Neetu Pathak 🛠️ 2 tools 🙏 20 karma wrote:Yes. LEGATO generates a near-correct plan on the first shot and assigns the best resource (Code, ML, or LLM) to each task. It then runs simulated and live execution tests. If a node fails, the framework identifies the failure mode and fixes the logic automatically. You only deploy the version that has already proven it can handle the pressure.
Neetu Pathak 🛠️ 2 tools 🙏 20 karma wrote:Freezing the workflow ensures that your core logic and costs stay predictable and auditable. However, the execution engine is highly intelligent. It has smart retries and fallbacks baked into every node based on real execution data. This means your agent stays within its engineered boundaries while still being smart enough to adapt to messy, real-world inputs.
Neetu Pathak 🛠️ 2 tools 🙏 20 karma wrote:Most agents use an LLM for everything, which is slow and expensive. The LEGATO framework analyzes each task in your goal and picks the right resource for the job. If a task requires a deterministic calculation, it uses Code. If it needs pattern recognition, it uses an ML model. It only uses LLM calls where reasoning is actually required.
Neetu Pathak 🛠️ 2 tools 🙏 20 karma wrote:You have complete control over deployment. You can run your workflows on the Skymel managed cloud for zero-infra scaling, or deploy on-prem within your own network. We also support edge deployment for latency-sensitive tasks and offer privacy-first configurations where no data is used for model training.
Neetu Pathak 🛠️ 2 tools 🙏 20 karma wrote:We believe in a "pay for what you build" model. You pay a monthly base plus metered usage while you are in the planning and testing phase. Once you deploy your agent as an API, there are no additional platform fees. You only pay for the raw infrastructure and token costs of your execution.
Skymel OA makes AI task automation and workflows future-proof through continuous monitoring, real-time performance optimization, and automatic updating of tool integration and custom actions. With these features, Skymel OA adapts to changes in task requirements, models, and AI technologies, ensuring that existing workflows remain effective in the long run.
The effort required to integrate Skymel OA is minimal. The tool simplifies the integration process by allowing Software Development Kit (SDK) installation, initializing Skymel OA, and replacing existing API calls. This makes AI integration more effortless and efficient, enabling developers to focus more on using and improving their AI functionalities.
Skymel OA intelligently chooses the optimal model for each request based on task requirements, available resources, and privacy needs. This automatic selection process ensures the most suitable model, whether it's for a simple understudy or a complex enterprise request, is always utilized, leading to optimal results and highest output quality.
Skymel OA aims for a perfect balance between privacy and performance. Its intelligent execution selection feature determines the most suitable balance for each task, taking into account user configurations and requirements. Whether it's device-only, cloud-only, or hybrid execution, Skymel OA caters to users' privacy and performance needs in every operation.
Skymel OA supports three types of execution methods: device-only, cloud-only, and hybrid execution. The choice of method depends on the users' requirements for privacy and performance. Users can configure Skymel OA to run solely on their device, operate purely in a cloud environment, or utilise a combination of both for hybrid execution.
No maintenance effort is needed from the user with Skymel OA. The tool offers zero maintenance features as everything from model selection, error handling, to model switching, and traffic routing is automated. This increases efficiency and reduces the overhead associated with constant maintenance, thus practicing 'write once, evolve forever'.
Skymel OA monitors AI performance by continuously tracking parameters like response time, cost per call, and output quality. It uses this real-time data to make adjustments such as model switching and traffic routing for optimal results. Its automation capabilities ensure consistent and reliable monitoring without user intervention.
Better performance in AI areas can be achieved using Skymel OA through its features of intelligent model selection, request routing, continuous optimization and extensive application support. By choosing the right models, routing requests smartly, optimizing responses, and supporting broad AI applications, Skymel OA enhances performance while reducing costs and maintenance.
Skymel OA works with all models and providers. Through its automatic model selection process, it chooses the best model from an extensive range for executing each request. Its compatibility and adaptability enable it to support wide AI applications from chat assistants to visual analysis tools.
You can optimize costs using Skymel OA through its features of intelligent model selection, efficient resource usage, and cost-per-call reduction. Skymel OA achieves these by automatically selecting the most cost-effective model for each request, distributing processing between device and cloud for resource efficiency, and reducing API call costs through optimized routing and execution.

Pricing

Pricing model

Free Trial

Paid options from

$150/month

Billing frequency

Monthly

Refund policy

No Refunds

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Meet Mel — open-source intelligence infrastructure for teams and agents.
Open Source Intelligence (OSINT) is the discipline of tracking massive volumes of fragmented public information to anticipate a target’s next move. For decades it was restricted to defense agencies and enterprise risk teams backed by armies of analysts.
Mel automates that discipline for everyone else.
Tell Mel what kind of data or intelligence you need from the open web. That becomes the objective.
Mel figures out where to look, discovers the relevant sources, collects the signals, resolves the entities behind them, and keeps connecting what it finds as new information appears.
Want the data? Signal Mode streams it into your agents, models, or systems.
Want the answer? Intelligence Mode turns it into a report on what it means for your objective and what to do next.
First report is free.

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Open Source Intelligence (OSINT) is the discipline of tracking massive volumes of fragmented public information to anticipate a target’s next move. For decades it was restricted to defense agencies and enterprise risk teams backed by armies of analysts.
Mel automates that discipline for everyone else.
Tell Mel what kind of data or intelligence you need from the open web. That becomes the objective.
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Mel automates that discipline for everyone else.
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Mel automates that discipline for everyone else.
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