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  • misterdev

    dcondrey
    A
    license
    A
    quality
    A
    maintenance
    An autonomous, extensible LLM build orchestrator. Give it a repo and a goal; it decomposes the goal into tasks, edits code, and gates every change on build/tests/lint, reverting regressions. Polygot, cost-aware model selection, pluggable via entry points. Ships as an MCP server so any client can drive it in plain English.
    Last updated
    10
    5
    AGPL 3.0
  • Memstate AI - Agent Memory System by memstate-ai

    Memstate AI - Agent Memoryofficial

    memstate-ai
    A
    license
    A
    quality
    D
    maintenance
    Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.
    Last updated
    7
    20
    5
    Apache 2.0

  • oraclaw-mcp-server

    Whatsonyourmind
    A
    license
    A
    quality
    B
    maintenance
    17 decision intelligence algorithms as MCP tools for AI agents. Bandits (UCB1, Thompson), LP/MIP solver (HiGHS), Monte Carlo simulation, Bayesian inference, graph analytics (PageRank, Louvain), genetic algorithms, CMA-ES, anomaly detection, time series forecasting, and more. All under 25ms, deterministic, zero LLM cost.
    Last updated
    17
    11
    MIT

  • Zaifer-MCP

    curio184
    A
    license
    A
    quality
    -
    maintenance
    Enables LLM assistants like Claude to interact with Zaif cryptocurrency exchange through natural language, supporting market information retrieval, chart data, trading, and account management for BTC/JPY, ETH/JPY, and XYM/JPY pairs.
    Last updated
    9

  • SwitchAI

    US1929
    A
    license
    A
    quality
    B
    maintenance
    AI agent for Italian energy tariff comparison. Analyzes electricity and gas bills, compares 44+ offers from 13 providers, estimates savings with full ARERA regulated cost breakdown
    Last updated
    7
    MIT

  • PokeMCP

    adamescj
    F
    license
    A
    quality
    F
    maintenance
    Enables AI assistants to play Pokemon Fire Red through the mGBA emulator by providing tools for button inputs and screenshots. It allows for direct reading of real-time game state from RAM, including party information, player location, and battle status.
    Last updated
    10
    3

  • agent-safety-mcp

    LuciferForge
    A
    license
    A
    quality
    D
    maintenance
    Unified MCP safety server that detects prompt injection (75 patterns), scans LLM outputs for leaked secrets/PII, enforces API cost budgets, and creates signed audit trails. Zero ML dependencies, pure Python.
    Last updated
    17
    1
    MIT

  • agent-memory-mcp

    kira-autonoma
    A
    license
    A
    quality
    D
    maintenance
    An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.
    Last updated
    4
    143
    MIT

  • Mnemex

    prefrontal-systems
    A
    license
    A
    quality
    C
    maintenance
    Provides human-like memory dynamics for AI assistants where memories naturally fade over time unless reinforced through use, mimicking the Ebbinghaus forgetting curve. Enables automatic saving, searching, and management of contextual information with temporal decay algorithms.
    Last updated
    11
    36
    AGPL 3.0

  • Human-In-the-Loop MCP Server

    GongRzhe
    A
    license
    A
    quality
    F
    maintenance
    Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.
    Last updated
    6
    162
    MIT

  • tidbits-memory

    brkhrdt
    A
    license
    A
    quality
    C
    maintenance
    Enables AI agents to record and rank learnings, facts, and methods through a collaborative voting framework. It provides tools for agents to surface the most useful information across sessions using persistent memory storage.
    Last updated
    8
    MIT