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Emisar.dev
Track yourself with actionable notifications that you can respond to directly from your iPhone or Apple Watch.
Optimize your trackings by measuring the effects of new behaviors experiments, aiming at improving your scores.
Gain insights from your tracking's analytics.
Track by responding directly from the notification, on your iPhone or Watch.
Optimize yourself by experimenting with new behaviors *
Set up a timed experiment (for example: practice meditation daily, starting today).
Keep responding to your set-up tracks as usual.
Measure the success of your behavioral change by comparing aggregated scores, within the experiment timeframe and out of it.
Gain insights from your tracking analytics * View your tracking's aggregated scores by day of week, or time of the day (are your energy levels higher on Saturday? are they lower in the evenings?)
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.
Trackification Emisar.devTrackification's answer
Trackification lets you track anything seamlessly- directly from the notification, without having to go on the app. It also provides you with a way to optimize yourself by measuring changes in average tracking scores in periods of behavioral changes, and provide insightful analytics.
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:
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:
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.
Proddigy App - Boost your productivity- gain insights from seamless notification tracking -> Track your productivity and related habits -> Understand your patterns with clear stats, visualizations, and insights -> Optimize your productivity with experiments
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