ClearFeed VS Emisar.dev
Compare ClearFeed VS Emisar.dev and see what are their differences
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ClearFeed
Spoke.ai
theGist
Slackmin
Crisp Chat
Zendesk
Desku.io
Slaask
Emisar.dev
ClearFeed converts Slack channels into a HelpDesk. It converts requests from many channels and users into a single queue of requests, uses AI to flag requests that need a response, allows responders to update status of requests and assign ownership and make sure all requests are closed out. Integrations with tools like Zendesk, Jira, Freshdesk, Salesforce et al allow agents to handover or link Slack requests to other enterprise tools and close the loop back on Slack when issues are solved therein.
We have been helping the world's leading companies like Atlan Data, Accryl, Chronosphere, Benlabs, Sprinto, MindsDB, TestRigor in scaling customer support, engineering escalations and IT helpdesk on Slack.
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, ClearFeed seems to be more popular. It has been mentiond 15 times 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.
I founded ClearFeed, a platform that helps teams provide support by integrating Slack with other tools. While ClearFeed offers extensive functionalities, I wanted to create something lightweight and focused, allowing teams to resolve conversations within Slack much faster. Here are some scenarios where interacting with tools within Slack proves to be incredibly useful:. - Source: dev.to / over 1 year ago
Cons: - managing a lot of Slack channels presents some unique problems. (making sure all key customers are invited, key internal stakeholders are added, managing lifecycle (prospect -> customer -> churn) etc.) - Slack's threads and tendency to have non-threaded discussions also present unique problems (makes it harder to keep track of things) - not everyone wants to come on Slack Connect. (while we haven't hit... Source: over 2 years ago
Hey, OP. Iโd love to help you out make these videos. I work at ClearFeed as their visual design head and we barely spend any money on explainer videos and yet it has helped us with conversions. Source: about 3 years ago
Does your team struggle with Slack sprawl and managing requests across lots of channels? Over the last 2 years we have been building a solution to help companies manage customer and employee requests more efficiently on Slack. I'm thrilled to share that ClearFeed is now live on Product Hunt! This is a big moment and your support would be invaluable in making this launch a success. Source: about 3 years ago
Yes. We use our own product https://clearfeed.ai to do this (and so do all our customers). Source: about 3 years ago
Spoke.ai - Spoke is the Priority Inbox for Builders. Reduce information overload, prioritize your work, get instant context and level up core workflows with AI.
theGist - Summarize Slack with generative AI
Slackmin - Slack superpowers for business ops
Crisp Chat - Multi-channel customer support software
Zendesk - Zendesk is a beautiful, lightweight help-desk solution.
Desku.io - Customer support simplified