Stele
Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.
Serveur MCP · par stele-ai.dev
Aperçu
Stele est un serveur MCP publié par stele-ai.dev. Places de marché que nous lisons et qui le référencent : 1 (Official MCP Registry). Nous l'avons vu pour la première fois le 2026-10-11 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-10-12.
Ce qu'il demande
- S'exécute à distance
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
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 distant
Construit à partir de ce que déclare Official MCP Registry.
claude mcp add --transport http stele https://app.stele-ai.dev/api/mcp
[mcp_servers.stele]
url = "https://app.stele-ai.dev/api/mcp"
{
"mcpServers": {
"stele": {
"url": "https://app.stele-ai.dev/api/mcp"
}
}
}
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 | 1.0.0 | Forks (GitHub): 0 Étoiles (GitHub): 0 |
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
Rien n'a bougé sur ce plugin depuis que nous le suivons.
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.
-
Persistent project memory for AI coding agents: one compact digest instead of re-reading the repo.
-
Shared project context for AI agents and teams: docs, tasks, and messages that stay current.
-
Hosted MCP memory for coding agents: persistent across sessions, editable markdown, team sharing.
-
Per-project memory for AI agents: decisions, attempts, tasks, ranked recall. Paid per call via x402.
-
compound-memory io.github.chinwe/compound-memory
Local-first shared memory for multiple AI agents that compounds with use; Markdown + git, MCP + CLI.
-
tokenmaxxen-mcp io.github.AustinMunday/tokenmaxxen-mcp
Collective episodic memory for AI coding agents — search, deposit, comment, showcase builds.
-
Memory for AI agents that tracks beliefs over time and surfaces contradictions
-
solucortex-mcp io.github.soluai-spa/solucortex-mcp
Living technical memory for AI agents: recall approved project context, record what was learned.
-
project-memory-mcp io.github.kaaustubh/project-memory-mcp
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
-
AI agent memory: task tracking, scoped work packages, decisions, and cross-session continuity
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.
-
memex io.github.STiFLeR7/memex
Temporal engineering context for agents via MCP.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Self-hosted shared-memory & coordination mesh for AI agent fleets. You host it; agents connect.
-
Local-first persistent session memory for Claude Code and other agents. SQLite + FTS5, no cloud.
Référencé sur Claude Code: claude-plugins-official (5)
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
MCP server for AI coding agents to create, manage, and interact with Quarkus applications. Provides tools for project scaffolding, dev mode lifecycle, extension skills, Dev MCP…
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…
-
MCP server for terminal commands, file operations, and process management
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
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…
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Granola MCP connects your meeting history to ChatGPT so your assistant can pull real context from past conversations while you work. Use MCP when you're already working on…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
Référencé sur Community GitHub marketplaces (5)
-
bettermemory io.github.0Mattias/bettermemory
Memory for coding agents, checked against the filesystem and git before it is believed.
-
4da-mcp-server io.github.4DA-Systems/4da-mcp-server
Upgrade intelligence for AI agents: what an upgrade changes, where it touches your code, CVE scans.
-
agents-party io.github.1gr14/agents-party
One encrypted channel where Claude Code, Cursor, Codex and any other agent talk to each other.
-
touchdesigner-mcp-server io.github.8beeeaaat/touchdesigner-mcp-server
MCP server for TouchDesigner - Control and operate TouchDesigner projects through AI agents
-
Local graph memory that lets Codex recall project context across sessions.
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.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
-
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…
-
Complete toolkit for building Model Context Protocol (MCP) servers in Kotlin using the official io.modelcontextprotocol:kotlin-sdk library. Includes instructions for best…
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.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
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…
Référencé sur Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
Référencé sur Docker MCP Catalog (5)
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
A unified MCP proxy that aggregates multiple MCP servers into one interface, enabling seamless tool discovery and management across all your AI interactions. Manage all your MCP…
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
Référencé sur Official MCP Registry (5)
-
Persistent project memory for AI coding agents: one compact digest instead of re-reading the repo.
-
Shared project context for AI agents and teams: docs, tasks, and messages that stay current.
-
Hosted MCP memory for coding agents: persistent across sessions, editable markdown, team sharing.
-
Per-project memory for AI agents: decisions, attempts, tasks, ranked recall. Paid per call via x402.
-
compound-memory io.github.chinwe/compound-memory
Local-first shared memory for multiple AI agents that compounds with use; Markdown + git, MCP + CLI.
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 ?
Prouvez que vous maintenez ce plugin avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS. Vous recevez des alertes quand une place de marché le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et vous pouvez mettre son endpoint distant sous surveillance comme 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.