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Emisar.dev
Appbase.io provides a supercharged Elasticsearch experience with an advanced search relevance control plane that allows a user to build and test a relevant search with no code. Since this experience is powered under the hood with Elasticsearch - so you aren't limited in the future if you wish to build upon what appbase.io already offers. You can host with us, or run it alongside your existing Elasticsearch cluster.
What can you can do with appbase.io: - Build Auto suggestions (powered by n-grams, edge n-grams), - Highlighting support, - Support for 39 languages as well as support for multi-language search, - Popular suggestions based on analytics, - Set synonyms, - Use rank feature in addition to text relevance to optimize relevance tuning, - Advanced query rules to extend search relevance.
In addition to our no code control plane, one can use our JS UI components (4,000+ Github stars, 1MM+ downloads, actively used by more than 1,000 projects) to design the search experience for web and mobile. We offer these components for React, Vue, React Native and Vanilla JS.
When a search experience is powered with appbase.io, we additionally collect telemetry on search and click data and provide one of the most powerful analytics to visualize the search engagement and conversion metrics.
Head over here for a 14-day trial: https://dashboard.appbase.io/signup/
Emisar is the last MCP server youโll need to install: a Zero-Trust gateway connecting Claude, Cursor, ChatGPT, and any AI agent to your infrastructure. One server handles production access, debugging, alerts, and internal operations, with new capabilities added as packs. Agents can inspect real production state, debug what they shipped, and help resolve incidents. Safe reads run automatically; policy allows, blocks, or routes risky actions for approval. No SSH keys, VPNs, remote shells, or standing shell access โ and every call is recorded.
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Emisar.dev's answer:
emisar is for SRE, DevOps, platform engineering, infrastructure, and security teams that want AI agents to inspect and operate production systems. It is especially relevant to teams managing multiple Linux hosts, clusters, databases, cloud services, or regulated environments where unrestricted shell access and incomplete audit records are unacceptable.
Emisar.dev's answer:
The hosted control plane and operator interface use Elixir, Phoenix, LiveView, PostgreSQL, and Tailwind CSS. The host runner and MCP bridge are written in Go. Action packs use YAML and JSON Schema, while production infrastructure is managed with Terraform on Google Cloud. The system communicates through MCP, OAuth 2.1, TLS, and WebSockets.
Emisar.dev's answer:
Emisar.dev's answer:
Founder Andrii Dryga spent a decade working as a CTO, full-stack engineer, SRE, and DevOps engineer. He experienced the cost of running the wrong command on the wrong cluster, while also seeing AI solve operational problems in seconds. emisar grew from the need to preserve both truths: AI agents are useful, and production access must remain bounded. Its answer is to give agents a reviewed catalog of operations instead of a blank terminal.
Emisar.dev's answer:
emisar lets AI agents work on real infrastructure without giving them a shell. Agents choose from a finite catalog of typed, versioned actions. Policy decides what runs, what requires approval, and what is denied, while an outbound-only runner verifies the action again on the host. New capabilities arrive as packs behind the same MCP integration, and every request is recorded in both a searchable audit trail and a tamper-evident host journal. [
Emisar.dev's answer:
Choose emisar when you want an agent to keep investigating and handling routine operations without handing it SSH credentials or supervising every call. Compared with raw shell access, copy-paste workflows, or one-off MCP servers, emisar provides reviewed action contracts, host-level enforcement, risk-based policy, scoped access, approvals, pack integrity checks, and a durable audit trail. It is built specifically for governed infrastructure access rather than generic automation.
Based on our record, Appbase.io seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
We also have an open-source version of the appbase.io server (available as Docker/Linux binaries) with all the essential search features included: https://github.com/appbaseio/reactivesearch-api. Source: almost 5 years ago
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
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ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
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React Native Desktop - Build OS X desktop apps using React Native