Showing 11 open source projects for "system information"

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  • 1
    LLM Wiki

    LLM Wiki

    Open Source Implementation of Karpathy's LLM Wiki

    LLM Wiki is a knowledge management and documentation system designed to organize, generate, and maintain structured information using large language models. It allows users to create interconnected knowledge bases that function similarly to a wiki but are enhanced with AI-driven content generation and summarization. The system emphasizes linking and context, enabling information to be connected across pages and topics for better navigation and understanding. ...
    Downloads: 10 This Week
    Last Update:
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  • 2
    Claude Context

    Claude Context

    Code search MCP for Claude Code

    Claude Context is a tool designed to enhance the contextual understanding of large language models by managing and injecting relevant information into prompts. It focuses on improving response quality by ensuring that models have access to the most relevant data when generating outputs. The system integrates with vector databases and retrieval systems, enabling efficient storage and retrieval of contextual information. It supports workflows such as retrieval-augmented generation, where external knowledge is dynamically incorporated into model responses. ...
    Downloads: 0 This Week
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  • 3
    OpenClaw Opik Observability Plugin

    OpenClaw Opik Observability Plugin

    Official plugin for OpenClaw that exports agent traces to Opik

    OpenClaw Opik Observability Plugin is an open-source plugin designed to add observability and monitoring capabilities to OpenClaw autonomous AI agents by exporting operational traces to the Opik observability platform. The project integrates directly with OpenClaw’s plugin architecture so that developers can capture detailed runtime information about how their agents behave while executing tasks. Each time an AI agent performs an action—such as calling a large language model, invoking a...
    Downloads: 3 This Week
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  • 4
    Understand Anything

    Understand Anything

    Turn any codebase into an interactive knowledge graph

    Understand-Anything is an AI-driven tool designed to help users deeply understand any topic by generating structured explanations, summaries, and breakdowns. It focuses on transforming complex or unfamiliar subjects into clear, step-by-step explanations that are easier to grasp. The system leverages language models to provide layered insights, allowing users to explore topics at different levels of detail. It is particularly useful for learning, research, and quick comprehension of new...
    Downloads: 5 This Week
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  • 5
    Lossless Claw

    Lossless Claw

    LCM (Lossless Context Management) plugin for OpenClaw

    ...Instead of relying on traditional sliding-window truncation or lossy summarization, it introduces a lossless architecture that preserves all historical messages while maintaining usable context within token limits. The system stores every interaction in a persistent database and incrementally summarizes older content into a hierarchical directed acyclic graph, allowing efficient compression without discarding information. This structure enables agents to dynamically reconstruct detailed context by expanding summaries when needed, effectively simulating perfect long-term memory.
    Downloads: 2 This Week
    Last Update:
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  • 6
    GBrain

    GBrain

    Garry's Opinionated OpenClaw/Hermes Agent Brain

    ...It also organizes knowledge into structured documents with summaries and timelines, helping agents maintain context and track changes in information.
    Downloads: 0 This Week
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  • 7
    Gemini Fullstack LangGraph Quickstart

    Gemini Fullstack LangGraph Quickstart

    Get started w/ building Fullstack Agents using Gemini 2.5 & LangGraph

    gemini-fullstack-langgraph-quickstart is a fullstack reference application from Google DeepMind’s Gemini team that demonstrates how to build a research-augmented conversational AI system using LangGraph and Google Gemini models. The project features a React (Vite) frontend and a LangGraph/FastAPI backend designed to work together seamlessly for real-time research and reasoning tasks. The backend agent dynamically generates search queries based on user input, retrieves information via the Google Search API, and performs reflective reasoning to identify knowledge gaps. ...
    Downloads: 3 This Week
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  • 8
    Open Multi-Agent

    Open Multi-Agent

    One runTeam() call from goal to result

    ...It focuses on distributing responsibilities across specialized agents, each handling a specific part of a problem, such as planning, execution, or validation. The system emphasizes modularity, allowing developers to define agent roles, communication protocols, and workflows. It supports iterative collaboration, where agents exchange information and refine outputs collectively. The architecture is designed to be extensible, enabling integration with external tools and APIs to expand agent capabilities. ...
    Downloads: 0 This Week
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  • 9
    agentmemory

    agentmemory

    #1 Persistent memory for AI coding agents

    agentmemory is a persistent memory server for AI coding agents that captures project context, past decisions, bugs, preferences, and implementation details so users do not have to re-explain the same information in every session. It works across tools such as Claude Code, Cursor, Gemini CLI, Codex CLI, OpenCode, Cline, and any client that supports MCP or REST APIs. The system automatically records what agents do, compresses that activity into searchable memory, and injects relevant context when a new coding session begins. It combines keyword search, vector search, confidence scoring, lifecycle management, and knowledge graph querying to retrieve useful memories without overloading the context window. ...
    Downloads: 0 This Week
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    Secure File Transfer for Windows with Cerberus by Redwood

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  • 10
    Leon

    Leon

    Leon is your open-source personal assistant

    Leon is an open-source personal AI assistant platform that lets users run a conversational agent locally or on their own servers, providing an alternative to cloud-hosted assistants with a focus on privacy, extensibility, and modular components. It’s designed to process natural language queries and perform tasks such as information retrieval, task automation, scheduling, and custom workflows defined by the user. The architecture emphasizes modularity: you can plug in different language models, intent recognizers, or action handlers to tailor Leon for specific domains like productivity, home automation, or developer tooling. Because it runs independently of third-party cloud services, Leon gives users full control over their data and system behavior, which is especially important for privacy-conscious users and organizations.
    Downloads: 6 This Week
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  • 11

    SynquoRum

    Multi-AI workspace with persistent cross-session memory via MCP

    SynquoRum is a multi-AI workspace for people who use multiple language models daily and are tired of fragmented context when switching tools. Most AI products treat memory as belonging to the model. Every new session starts from zero. SynquoRum inverts this: memory belongs to the workspace, not to any specific agent. Through an MCP (Model Context Protocol) server with 22 tools, the workspace exposes its memory to any MCP-compatible client — Claude.ai, Cursor, Cline, custom agents — so the...
    Downloads: 0 This Week
    Last Update:
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