Showing 7 open source projects for "expert system source code"

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  • 1
    Claude-Mem

    Claude-Mem

    Claude Code plugin that automatically captures everything Claude does

    Claude-Mem is a persistent memory compression system built specifically for Claude Code to preserve context across coding sessions. It automatically captures Claude’s tool usage, observations, and decisions, then compresses them into semantic memories that carry forward into future sessions. By enabling long-term continuity, Claude-Mem helps Claude “remember” project history, past fixes, and prior reasoning even after restarts or reconnects. Its progressive disclosure approach intelligently...
    Downloads: 53 This Week
    Last Update:
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  • 2
    Ponytail

    Ponytail

    Makes your AI agent think like the laziest senior dev in the room

    Ponytail is an AI-agent ruleset and plugin system that pushes coding assistants toward simpler, smaller, and less over-engineered solutions. It is built around the idea that the best code is often the code that does not need to be written. Before generating new code, it encourages the agent to check whether the feature is necessary, whether the standard library already solves it, whether the platform has a native capability, or whether an existing dependency can do the job. The project...
    Downloads: 16 This Week
    Last Update:
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  • 3
    9Router

    9Router

    Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline

    9Router is an AI routing and proxy platform designed to unify access to dozens of AI providers and coding assistants through a single local endpoint. The project allows developers to connect tools such as Claude Code, Cursor, Codex, Cline, Copilot, Gemini CLI, and other AI coding environments to multiple commercial, free, and fallback model providers without manually switching APIs. It includes smart routing logic that can automatically redirect requests between premium, low-cost, or free...
    Downloads: 7 This Week
    Last Update:
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  • 4
    Better Harness

    Better Harness

    Help your coding agents get better at getting better

    Better Harness is an open-source evaluation system for improving the workflows used by AI coding agents. Instead of reviewing only the final code change, it examines how an agent understood the task, executed work, validated results, delivered safely, and captured reusable lessons. It gathers project and session evidence while marking missing or unobserved behavior explicitly.
    Downloads: 0 This Week
    Last Update:
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    Demo Series - Small Business Backup By Veeam

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    Watch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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  • 5
    Open Vibe

    Open Vibe

    Open Vibe turns Claude Code into a SaaS-building assistant

    Open Vibe is an open-source course and agent workflow that turns Claude Code, Codex, Copilot, Open Code, or another terminal-capable AI coding agent into a SaaS-building assistant. It is built around Open SaaS, a free Wasp-powered SaaS boilerplate, so learners can create a real app while understanding the architecture behind production-ready SaaS systems. The workflow starts with setup instructions that install Node.js, install the Wasp CLI, and verify the local environment. ...
    Downloads: 0 This Week
    Last Update:
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  • 6
    Get Shit Done

    Get Shit Done

    A light-weight and powerful meta-prompting, context engineering

    Get Shit Done is a high-impact, open-source meta-prompting and spec-driven development system designed to streamline building software with AI assistants like Claude Code, OpenCode, and Gemini CLI. It solves “context rot” — the degradation of AI quality as a chat session grows — by structuring your idea into precise, context-engineered steps that are researched, scoped, planned, executed, and verified with clear commands and outputs instead of ad-hoc prompts. ...
    Downloads: 0 This Week
    Last Update:
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  • 7
    Context Hub

    Context Hub

    Makes coding agents get smarter with every task

    Context Hub is a curated documentation system built to help coding agents write more accurate code. It gives agents versioned, language-specific reference material instead of forcing them to rely on noisy web searches or stale model memory. The project includes a CLI called chub that agents can use to search for available docs, fetch specific API guidance, and request only the files they need.
    Downloads: 1 This Week
    Last Update:
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