Mochi
Anki
Quizlet
RemNote
Memrise
AnkiDroid
Brainscape
AnkiApp
Emisar.dev
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.
Mochi Emisar.devNo features have been listed yet.
No Emisar.dev videos yet. You could help us improve this page by suggesting one.
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, Mochi seems to be more popular. It has been mentiond 55 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.
It's not FOSS but Mochi [0] is a pretty good alternative. [0] https://mochi.cards/. - Source: Hacker News / 6 months ago
Possible alternative to check out (not affiliated): https://mochi.cards/. - Source: Hacker News / 6 months ago
I would like to see randomized control group studies using study mode. Does it offer meaningful benefits to students over self directed study? Does it out perform students who are "learning how to learn"? What affect does allowing students to make mistakes have compared to being guided through what to review? I would hope that study mode would produce flash card prompts and quantize information for usage in spaces... - Source: Hacker News / about 1 year ago
I'm a big fan of Mochi[1] (also unaffiliated) after getting frustrated with the clunkiness of Anki. Mochi has great native apps on macOS and iOS (and maybe more?), the cards are formatted in markdown so I can generate them with LLMs with a custom system prompt, and I just found out today they have an API so I might try my hand at getting an LLM to push new cards on its own via. An MCP server. 1. https://mochi.cards/. - Source: Hacker News / about 1 year ago
I think spaced repetition can be very helpful in language learning, but the author's plan of finding a pre-made deck of the most common 5,000 words is probably the worst way to use it. A much more effective approach is to create vocab cards yourself as you find new words through your immersion. Immersion could be anything from watching content online, to reading, to conversations with native speakers. From here... - Source: Hacker News / over 1 year ago
Anki - Anki is a program which makes remembering things easy. Because it's a lot more efficient than traditional study methods, you can either greatly decrease your time spent studying, or greatly increase the amount you learn.
Quizlet - Quizlet allows you to review and create flashcards for a variety of subjects, such as math and reading.
RemNote - All-in-One Tool For Thinking & Learning
Memrise - Learn a new language with games, humorous chatbots and over 30,000 native speaker videos.
AnkiDroid - Memorize anything with AnkiDroid!
Brainscape - Find, create, and study SMART FLASHCARDS on any device. DOUBLE your learning speed using the most effective study system on the planet. Keep all your content in sync across Brainscape's website and your Android devices.