io.github.l33tdawg/sage
Persistent, consensus-validated institutional memory for AI agents. Runs locally.
Serveur MCP · par l33tdawg
Aperçu
io.github.l33tdawg/sage est un serveur MCP publié par l33tdawg. Places de marché que nous lisons et qui le référencent : 1 (Official MCP Registry). Le dernier changement enregistré date du 2026-10-13. Selon notre passage sur les places de marché du 2026-10-13.
Ce qu'il demande
- S'exécute sur votre machine
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.
Fonctionne avec
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Un lien en un clic ouvre le client, qui demande une confirmation avant d'ajouter le serveur.
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En serveur MCP local : image Docker
Construit à partir de ce que déclare Official MCP Registry.
claude mcp add --transport stdio sage -- docker run -i --rm ghcr.io/l33tdawg/sage:11.23.23
[mcp_servers.sage]
command = "docker"
args = ["run", "-i", "--rm", "ghcr.io/l33tdawg/sage:11.23.23"]
{
"mcpServers": {
"sage": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/l33tdawg/sage:11.23.23"
]
}
}
}
docker run -i --rm ghcr.io/l33tdawg/sage:11.23.23
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 | 11.23.23 | Forks (GitHub): 30 Étoiles (GitHub): 255 |
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.
Évolution de ses chiffres
- 2026-10-1230
- 2026-10-1330
Chaque point est un jour où nous avons lu un autre nombre ; les paliers sont des jours sans changement. Les chiffres de places de marché différentes ne sont jamais additionnés.
Ce qui a changé
- Official MCP Registry: dépôt ou paquet modifié
- Official MCP Registry: version 11.23.23 publiée (avant 11.23.22)
- Official MCP Registry: dépôt ou paquet modifié
- Official MCP Registry: version 11.23.22 publiée (avant 11.23.21)
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.
-
goldhold io.github.jerrysrodz/goldhold
Persistent memory for AI agents. Search, store, and recall across sessions.
-
archetypal-ai io.github.archetypal-ai/archetypal-ai
Persistent memory for AI agents. recall, remember, checkpoint — soul preservation.
-
verifiable-memory io.github.Mars-proj/verifiable-memory
Memory for AI agents that can't hallucinate — cited or abstains, provable forget, deterministic.
-
memory-pulse io.github.t-crew/memory-pulse
Give any agent self-improving memory you can trust in production. Built-in memory security.
-
al-buddy-memory io.github.flytomoon/al-buddy-memory
Governed local memory for AI agents: facts are retired, not overwritten, and every call is audited.
-
memdata io.github.thelabvenice/memdata
Persistent memory for AI agents. Store context, retrieve it semantically.
-
genesys-memory io.github.Astrix-Labs/genesys-memory
Open-source causal memory for AI agents: persistent, explainable, MCP-native memory (13 tools).
-
Durable causal memory for AI agents — semantic recall, causal lineage, and skills. Local-first.
-
memory com.humaux/memory
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
-
shared AI-context layer for teams — persistent memory your agents search and update over MCP
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)
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Local-first persistent session memory for Claude Code and other agents. SQLite + FTS5, no cloud.
-
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…
-
Save 60-90% on LLM token costs with intelligent memory compression. agent-memory automatically compresses tool output into structured observations, shares context across agents…
Référencé sur Claude Code: claude-plugins-official (5)
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore, connecting tools, memory, policies, evaluation, debugging, and production…
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
Référencé sur Claude: knowledge-work-plugins (5)
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
Référencé sur Community GitHub marketplaces (5)
-
al-buddy-memory io.github.flytomoon/al-buddy-memory
Governed local memory for AI agents: facts are retired, not overwritten, and every call is audited.
-
Local-first, governable long-term memory for AI coding agents
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
vibsync com.vibsync/vibsync
One shared brain for your AI coding agents: team memory, agent Q&A, tasks, and file claims.
-
Markdown memory for coding agents that audits itself: drift reports and session digests.
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
-
foundry-hosted-agent-copilotkit
Build CopilotKit + AG-UI web apps on Microsoft Foundry hosted agents (Microsoft Agent Framework): wiring, native Foundry primitives, human-in-the-loop approvals, azd deploy, and…
-
Skills and interactive Copilot canvas for designing, configuring, testing and deploying agents to Microsoft Foundry.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
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…
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
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.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Capture, search, and organize notes and collections.
-
Let Grok Bot reach MCP servers on your private Tailscale network. Sign in to Tailscale to connect your tailnet; Grok Bot joins it as one tagged device and only reaches the hosts…
Référencé sur Docker MCP Catalog (5)
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
mcp-server-couchbase io.github.Couchbase-Ecosystem/mcp-server-couchbase
Couchbase Model Context Protocol Server to interact with Couchbase clusters
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
Référencé sur Official MCP Registry (5)
-
goldhold io.github.jerrysrodz/goldhold
Persistent memory for AI agents. Search, store, and recall across sessions.
-
archetypal-ai io.github.archetypal-ai/archetypal-ai
Persistent memory for AI agents. recall, remember, checkpoint — soul preservation.
-
verifiable-memory io.github.Mars-proj/verifiable-memory
Memory for AI agents that can't hallucinate — cited or abstains, provable forget, deterministic.
-
memory-pulse io.github.t-crew/memory-pulse
Give any agent self-improving memory you can trust in production. Built-in memory security.
-
al-buddy-memory io.github.flytomoon/al-buddy-memory
Governed local memory for AI agents: facts are retired, not overwritten, and every call is audited.
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.
C'est votre plugin ?
Ajoutez-le à vos projets et prouvez que vous le maintenez : un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS. Vous recevez 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.