A
licenseA
qualityC
maintenanceTurn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.
13
14
3
MIT
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"How to break tasks into smaller steps" matching MCP servers:
- Alicense-qualityAmaintenanceTurns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.1MIT
- Alicense-qualityBmaintenanceEnables AI agents to create, manage, and track tasks within plans using Valkey as the persistence layer. Supports plan and task management with Markdown notes, status tracking, and prioritization through multiple transport protocols (SSE, Streamable HTTP, STDIO).25BSD 3-Clause
- AlicenseAqualityBmaintenanceEnables structured step-by-step reasoning with branching, revisions, and self-critique to help break down complex problems into manageable steps with confidence tracking and thought history search.7416MIT
- Alicense-qualityDmaintenanceMCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.5,712MIT
- Alicense-qualityBmaintenanceEnables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.MIT
- Flicense-qualityCmaintenanceBuilds a searchable memory bank from persona-specific PDF content and exposes it as an MCP tool for querying.
- -license-quality-maintenanceEnables structured problem-solving through sequential thinking stages with persistent storage and analysis. Helps break down complex problems into manageable cognitive steps while tracking progress and generating summaries of the entire thought process.
- Flicense-qualityDmaintenanceA cognitive scaffolding platform that helps AI agents break down complex tasks into manageable steps using hierarchical planning and metacognitive guidance. Provides persistent memory, progress tracking, and intelligent pattern recognition to learn from successful project structures.
- AlicenseAqualityAmaintenancecoldstart gives coding agents durable memory of a specific codebase, with no embeddings, no vector store, and no API key. Agents write notes after real tasks — what a file is for, how a flow spans files, which invariants hold — and those notes are surfaced automatically to a later session whose task matches, so nothing gets rediscovered from scratch. Every note is anchored to real files by content88498MIT
- AlicenseAqualityAmaintenanceSelf-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.82Apache 2.0
Tribalofficial
FlicenseAqualityAmaintenanceSemantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.109- FlicenseAqualityDmaintenanceProvides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.616
- AlicenseAqualityDmaintenanceEnables AI coding assistants to store and retrieve persistent long-term memory across sessions, remembering project preferences, build steps, and architecture decisions.4MIT
- AlicenseAqualityBmaintenanceEnables AI agents to record and query reasoning steps in SQLite, offloading trace data from the context window, with DAG support and persistent cross-session memory.2MIT
- AlicenseAqualityBmaintenanceA dependency-free stdio MCP server that enables coding agents to persist and restore project task state, memory, decisions, and next steps across sessions using the .handoff contract.61MIT
- AlicenseAqualityCmaintenanceCaptures commitments from LLM conversations into a persistent local task list shown on an edge strip, with tools to add, list, and complete tasks.6MIT
- AlicenseAqualityDmaintenanceRefines development prompts and stores semantic memory to save tokens in complex Antigravity tasks, enabling token savings and enriched context.26Apache 2.0
- AlicenseAqualityAmaintenanceThis server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.5941MIT
mcp-server-qdrantofficial
AlicenseBqualityCmaintenanceThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.21,499Apache 2.0