io.github.CloudCorpRecords/decisiontrail
Local decision memory for coding agents: record decisions with limits, search precedents, supersede.
MCP-Server · von CloudCorpRecords
Überblick
io.github.CloudCorpRecords/decisiontrail ist ein MCP-Server von CloudCorpRecords. Marktplätze, die wir lesen und die es listen: 1 (Official MCP Registry). Wir haben es erstmals am 2026-11-04 gesehen und seither keine Änderung erfasst. Stand unseres Marktplatz-Durchlaufs vom 2026-11-07.
Was es abfragt
- Läuft auf Ihrem Rechner
Keiner der Marktplätze, die wir lesen, veröffentlicht seine Tools oder die abgefragten Einstellungen.
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
- Codex
- Cursor
- VS Code
- Copilot CLI
Ein Ein-Klick-Link öffnet den Client, der vor dem Hinzufügen des Servers um Bestätigung bittet.
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 lokaler MCP-Server: npm-Paket
Erstellt aus den Angaben von 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"
]
}
}
}Wo es veröffentlicht ist
| Marktplatz | Status | Version | Zahlen | Verifiziert | Erstmals gesehen |
|---|---|---|---|---|---|
| Official MCP Registry (Eintrag in der Registry öffnen) | Gelistet | 0.1.0 | Forks (GitHub): 0 Sterne (GitHub): 0 |
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.
Was sich geändert hat
- Wird seitdem als Produkt geführt
- Official MCP Registry: 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.
-
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.
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)
-
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
Gelistet auf 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.
Gelistet auf 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…
Gelistet auf 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
Gelistet auf 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…
Gelistet auf 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…
Gelistet auf 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…
Gelistet auf 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.
Gelistet auf 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.
Gelistet auf 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.
Gelistet auf 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.
Gelistet auf 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
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 Official MCP Registry. Die Zahlen stammen aus unseren eigenen regelmäßigen Durchläufen über die Marktplätze, zuletzt abgerufen am . Kontaktdaten von Plugin-Herausgebern veröffentlichen wir nicht.