io.github.CloudCorpRecords/decisiontrail
Local decision memory for coding agents: record decisions with limits, search precedents, supersede.
Serveur MCP · par CloudCorpRecords
Aperçu
io.github.CloudCorpRecords/decisiontrail est un serveur MCP publié par CloudCorpRecords. Places de marché que nous lisons et qui le référencent : 1 (Official MCP Registry). Nous l'avons vu pour la première fois le 2026-11-04 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-11-07.
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 : paquet npm
Construit à partir de ce que déclare Official MCP Registry.
claude mcp add --transport stdio decisiontrail -- npx -y @reneturcios/decisiontrail mcp
[mcp_servers.decisiontrail]
command = "npx"
args = ["-y", "@reneturcios/decisiontrail", "mcp"]
{
"mcpServers": {
"decisiontrail": {
"command": "npx",
"args": [
"-y",
"@reneturcios/decisiontrail",
"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 | 0.1.0 | 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
- 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.
-
Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.
-
agent-memory io.github.theprodsde/agent-memory
Persistent agent memory with a decision layer: replay, restore, verify, or none — explainable.
-
mcp-server-decisions io.github.Roberton003/mcp-server-decisions
Decision tracking with prediction validation and outcome gates for AI agents
-
robrain io.github.adelinamart/robrain
Self-hosted decision memory for AI coding agents; warns before re-proposing a rejected approach.
-
Create and evaluate versioned decision models with reproducible results and declared assumptions.
-
mnema: decision records for AI coding agents
Signed, append-only decision records for AI coding agents, over MCP. Verify them offline.
-
Project memory across sessions for AI agents. A queryable decision log in the repo.
-
Decision memory for AI agents: record, revisit, and resolve consequential choices.
-
okl — Observed Knowledge Ledger
Keeps your agent true to your rules. Keeps them true to the code. Keeps learning as you build.
-
decisionscope io.github.CloudCorpRecords/decisionscope
Read-only decision record: query decisions, drain decision changes, verify token.
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
-
Deterministic decision records for agents and humans. Local-first + team support. Supports both project-level and user-level scopes.
-
Governance and audit layer for AI agents: policy, approvals, tamper-evident audit chains.
-
deepmiro io.github.kakarot-dev/deepmiro
Simulate hundreds of AI agents to predict how communities react to events and policies
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.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
Detect an MCP server's language (Python, TypeScript or Go) and instrument it with the matching Pendo SDK so MCP tool calls flow into Pendo Agent Analytics.
Référencé sur Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Search companies and contacts, enrich leads, find lookalikes, and get AI-ranked contact recommendations. Pre-built skills chain multiple ZoomInfo tools into complete B2B sales…
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
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…
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Answer product and business questions with data
Référencé sur Community GitHub marketplaces (5)
-
Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
-
PAPI: Persistent Adaptive Project Intelligence
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
-
Enforces structured decision-making by creating Agent Decision Records (AgDR) when AI agents make technical choices like selecting libraries, patterns, or architecture.
-
neural-memory io.github.nhadaututtheky/neural-memory
Persistent memory for AI agents — 55 MCP tools, spreading activation recall.
-
system-one
Design, integrate, evaluate, self-host, and troubleshoot typed System One decision models including TypeSafe Jev, Convai Innovations Laya, CLM, and experimental Strands Decider…
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
crowdstrike-charlotte-ai-agentworks
CrowdStrike Charlotte AI AgentWorks skills for creating, managing, and invoking AI agents via external Falcon API Gateway endpoints. Includes agent lifecycle management…
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
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…
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
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.
-
Microsoft Dataverse plugin for coding agents, covering record CRUD, bulk data operations, advanced queries, schema and metadata, administration, security, environment management…
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
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.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Search company knowledge and draft verified answers.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
Référencé sur Docker MCP Catalog (5)
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
Give your AI agents trusted access to the full Postman platform.
Référencé sur Official MCP Registry (5)
-
Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.
-
agent-memory io.github.theprodsde/agent-memory
Persistent agent memory with a decision layer: replay, restore, verify, or none — explainable.
-
mcp-server-decisions io.github.Roberton003/mcp-server-decisions
Decision tracking with prediction validation and outcome gates for AI agents
-
robrain io.github.adelinamart/robrain
Self-hosted decision memory for AI coding agents; warns before re-proposing a rejected approach.
-
Create and evaluate versioned decision models with reproducible results and declared assumptions.
Référencé sur PyPI (MCP servers) (5)
-
Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.
-
link io.github.gowtham0992/link
Local personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.
-
Single-file, self-hosted semantic memory MCP server for AI coding agents
-
yantrikdb-mcp io.github.yantrikos/yantrikdb-mcp
Cognitive memory for AI agents — semantic recall, knowledge graph, and contradiction detection
-
Unified MCP server for AgenticLens and Agentic Chaos capabilities.
Référencé sur npm registry (MCP servers) (5)
-
Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.
-
jev-decision-mcp io.github.amidabuddha/jev-decision-mcp
Typed Jev decisions in one tool: choice, score, yes/no probabilities via any compatible endpoint.
-
memory-pulse io.github.t-crew/memory-pulse
Give any agent self-improving memory you can trust in production. Built-in memory security.
-
memory-journal-mcp io.github.neverinfamous/memory-journal-mcp
Developer journal with knowledge graphs, relationships, Git context, and semantic search
-
Shared, serverless, conflict-free knowledge-graph memory for AI agents
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.