engram
Evidence-based learning engine: learn anything, verify by free recall, schedule with FSRS, adapt from your own retention data.
Plugin-Paket · von Quan Duong
Überblick
engram ist ein Plugin-Paket für KI-Coding-Tools von Quan Duong. Marktplätze, die wir lesen und die es listen: 1 (Community GitHub marketplaces). Die letzte erfasste Änderung war am 2026-11-03. Stand unseres Marktplatz-Durchlaufs vom 2026-11-03.
Was es abfragt
- Wird als Plugin-Paket installiert
- Deklarierte Hooks: 1
Was es deklariert, abfragt und ausführt, vollständig
Installieren Sie nur Plugins von Entwicklern, denen Sie vertrauen. Wir zeigen, was die Marktplätze veröffentlichen, und testen keine Plugins.
Funktioniert mit
- Claude Code
Nach den Marktplätzen, die ihn listen, und dem angegebenen MCP-Transport, wie jeder Client sie dokumentiert. Wir testen keine Plugins.
Verbinden
Befehle und Konfigurationen nur aus den Angaben der Marktplätze. Wir führen sie nicht für Sie aus und testen keine Plugins.
Als Claude-Code-Plugin
Erstellt aus den Angaben von Community GitHub marketplaces.
/plugin marketplace add nagisanzenin/engram
/plugin install engram@engram
Wo es veröffentlicht ist
| Marktplatz | Status | Version | Zahlen | Verifiziert | Erstmals gesehen |
|---|---|---|---|---|---|
| Community-Marktplatz nagisanzenin/engram (Quelle auf GitHub öffnen) | Gelistet | 1.15.1 | Forks (GitHub): 108 Sterne (GitHub): 1 471 |
Nicht markiert |
Jede Zahl stammt vom jeweiligen Marktplatz und wird nie über Marktplätze hinweg addiert. Ein Marktplatz ohne veröffentlichte Zahl zeigt keine: keine Zahl ist nicht null.
In einem Community-Marktplatz gelistet
| Marktplatz | Repository | Sterne (GitHub) |
|---|---|---|
| engram | nagisanzenin/engram | 1 471 |
Wie sich die Zahlen entwickelt haben
- 2026-10-31108
- 2026-11-03108
- 2026-10-311,5 Tsd.
- 2026-11-011,5 Tsd.
- 2026-11-031,5 Tsd.
Jeder Punkt ist ein Tag, an dem wir eine andere Zahl gelesen haben; flache Abschnitte sind Tage ohne Veränderung. Zahlen verschiedener Marktplätze werden nie addiert.
Was das Paket enthält
So veröffentlicht auf Community GitHub marketplaces.
Skills: 3
coachlearnreview
Agenten: 3
engram-artifact-smithengram-assessorengram-curriculum-architect
Hooks: 1
SessionStart
Was sich geändert hat
- Wird seitdem als Produkt geführt
- Community GitHub marketplaces: erschienen
Ähnliche Plugins
Produkte, deren eigene Namen, Beschreibungen, Werkzeuge und Skills diesem der Bedeutung nach am nächsten sind, auf allen Marktplätzen, die wir lesen. Die Nähe ist nur innerhalb dieser Liste geordnet.
-
Interactive learning companion — plans, quizzes, spaced repetition, web dashboard
-
adaptive-recall io.github.AIAppsAPI/adaptive-recall
Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.
-
Quizlar — voice-powered AI flashcards with spaced repetition
Voice-led, FSRS-scheduled flashcards from YouTube, PDFs, web, or text. Auto-graded quizzes.
-
Spaced-repetition flashcards your AI writes, quizzes you on by voice, and schedules with FSRS.
-
nobrainner io.github.aaadjrbr/nobrainner
NoBrainner Spaced Repetition Flashcards, Study Stats & Multi-Language AI Deck Generation
-
Build and study spaced-repetition flashcards with your agent.
-
A single study-companion agent for ADHD learners, any subject — automatic spaced-repetition warm-ups, small-chunk teaching, Feynman-style reflection, and periodic self-analysis.
-
Create and study EngrAmo spaced-repetition flashcards from your AI client.
-
Schedule spaced reviews and exam study plans from each learner's forgetting curve.
-
Help users learn topics through adaptive tutoring, practice exercises, retrieval checks, study plans, and feedback.
Ähnliche Plugins nach Marktplatz
Dieselbe Frage an jeden Marktplatz einzeln: Gibt es dort ein Gegenstück zu diesem Plugin?
Gelistet auf Claude Code: claude-plugins-community (5)
-
AI-powered interactive learning coach that helps users master any topic 10x faster. Features knowledge maps, Feynman sparring, Socratic drilling, instant feedback, and…
-
AI-powered personal tutor plugin for Claude Code. Features adaptive teaching with 3 styles (progressive, Socratic, structured), pre/post testing with generative questions, spaced…
-
A Claude Code plugin that acts as your long-running learning companion — helps you plan, track, and review self-directed learning in structured phases.
-
Adult learning & knowledge management meta-router — 12 cognitive science-based frameworks (Zettelkasten, PARA/Second Brain, Evergreen Notes, Spaced Repetition, Active Recall…
-
Personal AI memory layer. Capture decisions, lessons, and context that carry across sessions.
Gelistet auf Claude Code: claude-plugins-official (5)
-
Turn any learning intent into a personalized Coursera experience. Asks three quick questions (topic, familiarity, preferred format), searches Coursera's catalog, and delivers the…
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to…
-
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
-
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Gelistet auf Claude: knowledge-work-plugins (5)
-
Turn any learning intent into a personalized Coursera experience. Asks three quick questions (topic, familiarity, preferred format), searches Coursera's catalog, and delivers the…
-
Manage tasks, plan your day, and build up memory of important context about your work. Syncs with your calendar, email, and chat to keep everything organized and on track.
-
Secure access to Miro boards. Enables AI to read board context, create diagrams, and generate code with enterprise-grade security.
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
Gelistet auf Codex: openai-curated (openai/plugins) (5)
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Turn Codex into your ClickUp command center.
-
Work with Zotero from Codex: search your library, export BibTeX, insert citations, and import references through the Zotero desktop app.
Gelistet auf Community GitHub marketplaces (5)
-
Interactive learning companion — plans, quizzes, spaced repetition, web dashboard
-
A single study-companion agent for ADHD learners, any subject — automatic spaced-repetition warm-ups, small-chunk teaching, Feynman-style reflection, and periodic self-analysis.
-
Help users learn topics through adaptive tutoring, practice exercises, retrieval checks, study plans, and feedback.
-
Reflect on the current conversation and save reusable learnings across four categories (memory, lesson, skill stub, project-doc) — confirmation-first, Reflexion-style…
-
A personal AI tutor based on Bloom's 2-sigma research: it generates a structured syllabus, teaches one adaptive lesson at a time, and tailors each next lesson to the learner's…
Gelistet auf Copilot CLI: github/awesome-copilot (5)
-
Codebase-grounded concept-mastery quizzes with an interactive BrainMax Canvas dashboard.
-
Turn your Copilot sessions into proof of impact — research-grounded HTML reports with effort estimation, skills analysis, and ROI metrics from local session logs.
-
Maps branching Copilot conversations so parallel follow-up questions and exploration paths from complex tasks or learning can be navigated without losing context. Its visual…
-
Design, build, review, and publish GitHub Skills-style exercises with one coordinating agent and five Agent Skills for learner journeys, workflow-backed validation, and release…
-
Turn the code edits Copilot made in your session into an interactive lesson: a step-by-step walkthrough of each change with before/after views and quizzes, then a hands-on…
Gelistet auf Copilot CLI: github/copilot-plugins (5)
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Gelistet auf Cursor: cursor/plugins (5)
-
Skill mapping, practice plans, and learning retrospectives.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Capture, search, and organize notes and collections.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
Gelistet auf Docker MCP Catalog (5)
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Real-time web search, reasoning, and research through Perplexity's API
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
The EduBase MCP server enables Claude and other LLMs to interact with EduBase's comprehensive e-learning platform through the Model Context Protocol (MCP).
Gelistet auf Official MCP Registry (5)
-
adaptive-recall io.github.AIAppsAPI/adaptive-recall
Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.
-
Quizlar — voice-powered AI flashcards with spaced repetition
Voice-led, FSRS-scheduled flashcards from YouTube, PDFs, web, or text. Auto-graded quizzes.
-
Spaced-repetition flashcards your AI writes, quizzes you on by voice, and schedules with FSRS.
-
nobrainner io.github.aaadjrbr/nobrainner
NoBrainner Spaced Repetition Flashcards, Study Stats & Multi-Language AI Deck Generation
-
Build and study spaced-repetition flashcards with your agent.
Gelistet auf PyPI (MCP servers) (5)
-
hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
-
MCP server providing access to the Anki Addons dataset (HuggingFace Ya-Alex/anki-addons).
-
yantrikdb-mcp io.github.yantrikos/yantrikdb-mcp
Cognitive memory for AI agents — semantic recall, knowledge graph, and contradiction detection
-
FastMCP server exposing Joplin notes, notebooks, tags, and imports.
-
Connect AI assistants to Outline for document search, reading, and management
Gelistet auf npm registry (MCP servers) (5)
-
MCP server for Anki flashcards: adaptive review, notes, media, and deck management via AnkiConnect.
-
Agent memory: working, episodic, semantic, procedural and core layers. Local SQLite, no account.
-
ori-memory io.github.aayoawoyemi/ori-memory
Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.
-
brightspace-d2l-mcp io.github.AnonymousOnyx22/brightspace-d2l-mcp
Brightspace MCP server for D2L: what's due and submitted, grades, exams, what's new, course files.
-
Hosted agent memory that learns from outcomes, with shared rooms. No key: mcp.mnemoverse.com/mcp
Nach Bedeutung gefunden, nicht über gemeinsamen Code oder ein gemeinsames Repository: Ähnliche Plugins bleiben getrennte Produkte, und dies ist weder eine Bewertung noch eine Empfehlung.
Möchten Sie dieses Zeichen für Ihr Plugin in unserem Katalog?
Belegen Sie mit einer Datei im Repository, einer Datei auf Ihrer Domain oder einem DNS-Eintrag, dass Sie es pflegen, und Sie können dieses Zeichen auf der Karte zeigen, dazu Live-Banner für Ihre Website und Ihr README. So funktioniert die Verifizierung
Außerdem erhalten Sie Hinweise, wenn ein Marktplatz es aufnimmt, entfernt, sein Verified-Zeichen oder seine Anforderungen ändert, und sein Remote-Endpunkt wird wie ein Webdienst überwacht.
Daten von Community GitHub marketplaces. Die Zahlen stammen aus unseren eigenen regelmäßigen Durchläufen über die Marktplätze, zuletzt abgerufen am . Kontaktdaten von Plugin-Herausgebern veröffentlichen wir nicht.