memry
Persistent memory for AI coding agents. Install the memry CLI and run memry setup.
Serveur MCP · par mrtheroi
Aperçu
memry est un serveur MCP publié par mrtheroi. Places de marché que nous lisons et qui le référencent : 1 (Official MCP Registry). Nous l'avons vu pour la première fois le 2026-10-20 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-10-30.
Ce qu'il demande
Aucune des places de marché que nous lisons ne publie ses outils ni les réglages qu'il demande.
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Connecter
Pas de données pour une commande automatique : ce que déclarent ses places de marché ne dit pas sans ambiguïté comment le connecter.
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Official MCP Registry (Ouvrir la fiche du registre) | Référencé | 1.2.0 | Forks (GitHub): 0 Étoiles (GitHub): 5 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Ce qui a changé
- Est devenu un produit que nous suivons
- Official MCP Registry: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
memory io.github.shackleai/memory
Persistent memory for AI coding tools. 11 tools for any MCP-compatible AI tool.
-
cogmem io.github.writerslogic/cogmem
A self-improving, verifiable memory layer for AI coding agents.
-
Persistent memory layer for AI coding agents — your agent remembers what you taught it.
-
minnimemory io.github.MinniAI-com/minnimemory
Curated, on-demand memory for AI coding agents. Cuts Claude Code token cost per session.
-
Local-first long-term memory for AI coding agents. Stored on your own machine.
-
vasperamemory io.github.RCOLKITT/vasperamemory
Persistent AI memory for coding assistants. 80+ tools for decisions, patterns, errors.
-
gitmem io.github.gitmem-dev/gitmem
Persistent institutional memory for AI coding agents. Memory that compounds.
-
verbative-memory io.github.verbative/verbative-memory
On-device, self-organizing memory for AI coding agents — recalls the right facts into each prompt.
-
Local-first project memory with legacy MCP and 2026 discovery compatibility.
-
repomemory io.github.DanielGuru/repomemory
Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
Persistent semantic memory for Claude Code. Stores knowledge in a local ChromaDB vector database and automatically retrieves relevant context on every message using Ollama bge-m3…
-
claude-code-plugin-for-goodmem-a-memory-infra-for-agents
With this plugin, you can operate Goodmem's memory infra in plain English, to create, manage, and orchestrate embedders, rerankers, and LLMs, to ingest and create memories from…
-
Persistent local memory for Claude Code — cross-session context, semantic search, zero cloud
-
Coding Agents forget everything when a session ends. total-recall fixes that: a shared memory layer that persists across sessions, tools, and devices. Memory is organized into…
-
Persistent memory for AI coding agents. SQLite knowledge graph with scoped entities, MCP tools, and LLM-summarized briefings.
Référencé sur Claude Code: claude-plugins-official (5)
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
Référencé sur Claude: knowledge-work-plugins (5)
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
MCP server for terminal commands, file operations, and process management
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Inspect repositories, triage pull requests and issues, debug CI, and publish changes through a hybrid GitHub connector and CLI workflow.
-
AI-powered code review in Codex, powered by CodeRabbit.
Référencé sur Community GitHub marketplaces (5)
-
Persistent memory system for AI coding sessions — cross-tool memory sharing with hybrid search
-
Persistent, cross-device memory for your AI coding agents — self-hosted and AGPL, so your knowledge never leaves your own infrastructure. Connect to a Mori server you run; every…
-
Persistent memory for AI coding agents via the memini memory service. 7 hooks, MCP tools, and skills that capture tool usage and inject prior context at session start.
-
Git-native project memory for AI coding agents, with deterministic local recall, evidence gates, and layered delivery that quotes, points, or abstains.
-
yggdrasil io.github.VonderVuflya/yggdrasil
One shared, durable memory for your AI coding agents — local-first, zero-dependency.
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
-
Model, visualize, and deploy applications with Radius from the GitHub Copilot app and CLI.
-
Analyze any repository and generate AI-ready configuration — AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates…
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Advanced Security plugin for GitHub Copilot.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Référencé sur Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Skills for building on the Cursor Origin API. Fetch the live spec first, then follow the Origin rules for credentials, scopes, webhooks, paging, and errors. Includes a skill that…
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
Référencé sur Docker MCP Catalog (5)
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
Référencé sur Official MCP Registry (5)
-
memory io.github.shackleai/memory
Persistent memory for AI coding tools. 11 tools for any MCP-compatible AI tool.
-
cogmem io.github.writerslogic/cogmem
A self-improving, verifiable memory layer for AI coding agents.
-
Persistent memory layer for AI coding agents — your agent remembers what you taught it.
-
minnimemory io.github.MinniAI-com/minnimemory
Curated, on-demand memory for AI coding agents. Cuts Claude Code token cost per session.
-
Local-first long-term memory for AI coding agents. Stored on your own machine.
Référencé sur PyPI (MCP servers) (5)
-
mnemo io.github.n24q02m/mnemo
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
-
marm-mcp-server io.github.Lyellr88/marm-mcp-server
Universal MCP Server with advanced AI memory capabilities and semantic search.
-
Every tool your AI needs in one self-hosted install: memory, reasoning, git, Docker and more.
-
hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
-
link io.github.gowtham0992/link
Local personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.
Référencé sur npm registry (MCP servers) (5)
-
gitmem io.github.gitmem-dev/gitmem
Persistent institutional memory for AI coding agents. Memory that compounds.
-
Local-first project memory with legacy MCP and 2026 discovery compatibility.
-
memoir io.github.camgitt/memoir
Persistent memory for AI coding tools via MCP. Remembers across sessions and machines.
-
remem-mcp — Local-first MCP Memory + CodeGraph + Wiki
Local-first memory for AI coding agents. Memory + CodeGraph + Wiki in one SQLite file.
-
ori-memory io.github.aayoawoyemi/ori-memory
Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Official MCP Registry. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.