Search Results for "context" - Page 35
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Showing 2139 open source projects for "context"
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HiClaw
An open source collaborative multi-agent OS
HiClaw is an AI-powered legal assistant framework developed within the AgentScope ecosystem to support intelligent legal reasoning, document analysis, and workflow automation for legal research and compliance tasks. The project combines large language models with agent orchestration systems to process legal documents, interpret regulations, summarize contracts, and assist with legal knowledge retrieval. It is designed to provide structured, explainable workflows that help legal professionals... -
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memsearch
A Markdown-first memory system, a standalone library for any AI agent
memsearch is a markdown-first memory system designed to provide long-term memory capabilities for AI agents through structured storage and semantic retrieval. It enables agents to store, organize, and retrieve information using embeddings and hybrid search techniques, ensuring that relevant context is always available. The system supports advanced features such as reranking and progressive disclosure, which help prioritize the most useful information for a given query. It integrates with vector databases like Milvus, enabling scalable storage and retrieval of large datasets. Memsearch is designed to be agent-friendly, making it easy to plug into existing AI workflows and enhance reasoning capabilities. ... -
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ShellOracle
A terminal utility for intelligent shell command generation
ShellOracle is a command-line utility designed to translate natural language instructions into executable shell commands, enhancing productivity for developers and system administrators. It integrates with multiple large language model providers, including local and cloud-based systems, to generate accurate and context-aware command suggestions. The tool operates directly within the terminal and can be triggered through keyboard shortcuts, allowing users to describe tasks in plain English and receive ready-to-run commands. It maintains a history of prompts and generated commands, enabling users to revisit previous queries and refine workflows over time. ... -
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LLM Tornado
The .NET library to build AI agents with 30+ built-in connectors
...It supports multimodal inputs and outputs, including text, images, audio, and documents, making it suitable for a wide range of AI applications. LLMTornado also integrates advanced protocols such as Model Context Protocol and agent-to-agent communication, enabling complex interactions between systems. With built-in support for local deployments, enterprise guardrails, and observability features. -
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LangChainGo
LangChain for Go, the easiest way to write LLM-based programs in Go
LangChainGo is a Go-based implementation of the LangChain framework, designed to help developers build applications powered by large language models using the Go programming language. It provides a modular architecture that allows developers to combine components such as language models, chains, agents, memory systems, and vector stores into flexible workflows. The framework emphasizes composability, making it easy to create complex pipelines that integrate LLMs with external data sources,... -
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GenericAgent
Self-evolving autonomous agent framework
The GenericAgent project is a flexible framework for building autonomous AI agents that can operate across diverse tasks and environments. It is designed around modularity, allowing developers to define agents with interchangeable components such as tools, memory systems, and reasoning strategies. The architecture emphasizes generality, enabling the same agent framework to be adapted for different domains including coding, research, and task automation. It integrates with modern language... -
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nuwa-skill
Mental models, decision heuristics, expressing DNA
nuwa-skill is an AI-oriented project focused on defining, managing, and executing modular “skills” that can be used by intelligent agents or automation systems. It provides a framework for organizing capabilities into reusable units that can be invoked dynamically depending on context or user input. The project is designed to integrate with AI systems, enabling them to perform structured tasks such as data retrieval, processing, or interaction with external services. It emphasizes modularity and extensibility, allowing developers to create new skills and plug them into the system without disrupting existing functionality. ... -
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quickjs-emscripten
Safely execute untrusted Javascript in your Javascript
quickjs-emscripten is a JavaScript library that compiles the QuickJS engine into WebAssembly using Emscripten, enabling developers to run JavaScript code inside a sandboxed environment within browsers or server-side JavaScript runtimes. It provides a secure and isolated execution context, making it particularly useful for running untrusted or user-generated code safely. The library abstracts the complexity of loading and initializing the WebAssembly module, offering convenient APIs to create and manage execution contexts. It allows seamless interaction between the host environment and the embedded QuickJS runtime, including passing values, objects, and functions across boundaries. ... -
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Team9
Team9 is a collaborative workspace for AI agents
Team9 is an AI-native collaborative workspace designed to deploy, manage, and coordinate autonomous agents as if they were members of a human team, enabling organizations to automate complex workflows with minimal setup. It builds on agent frameworks like OpenClaw and introduces a managed environment where agents can be assigned roles, share context, and execute tasks collaboratively. The system emphasizes a “local-first” architecture, allowing agents to run on user-controlled infrastructure while maintaining persistent memory and data privacy. It includes orchestration mechanisms that allow agents to operate continuously through scheduled tasks, event-driven triggers, and long-running processes. ... -
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HolyClaude
AI coding workstation: Claude Code + web UI + 5 AI CLIs + headless
...The project centers around improving how developers interact with AI agents, enabling more efficient code generation, debugging, and task execution through optimized prompt engineering. It includes predefined templates and interaction patterns that guide the AI toward producing more accurate and context-aware responses. HolyClaude emphasizes productivity by reducing friction in iterative development cycles, allowing users to refine outputs quickly without repeatedly crafting instructions from scratch. The toolkit is modular in nature, enabling developers to adapt it to different coding scenarios or integrate it into their existing workflows. ... -
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mini SWE-agent
The 100 line AI agent that solves GitHub issues
...Unlike more complex frameworks, it emphasizes simplicity and efficiency, consisting of roughly 100 lines of code while still achieving strong performance on benchmarks such as SWE-bench Verified, where it demonstrates competitive problem-solving capabilities. The agent operates by interpreting software issues, analyzing repository context, and executing actions such as editing code, running commands, and validating fixes through iterative reasoning loops. It integrates seamlessly with language models, enabling flexible deployment with different providers while maintaining a consistent workflow for automated debugging and code modification. -
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ComfyUI-Copilot
AI assistant for ComfyUI workflow generation, debugging, and tuning
ComfyUI-Copilot is an AI-powered assistant designed to extend the capabilities of ComfyUI by simplifying and automating complex workflow development tasks. It functions as a custom node integrated directly into the ComfyUI environment, allowing users to interact with workflows through natural language and intelligent suggestions. ComfyUI-Copilot focuses on reducing the complexity of building node-based pipelines for generative AI tasks such as image generation, making it more accessible to... -
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Gooo
Toolkit for developing web applications in Vue, Templ, and Go
Gooo is an open-source project that focuses on providing tools and utilities for interacting with and analyzing online content, particularly in the context of automation and data retrieval workflows. The repository appears to function as a lightweight utility toolkit that can be adapted for specific use cases such as scraping, automation, or content processing. It is structured to allow developers to customize and extend its functionality depending on their needs, rather than acting as a fully packaged end-user application. ... -
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Browser Agent
AI Browser Agent is an advanced Browser AI tool
...It is designed to simplify complex automation workflows by removing the need for manually written selectors or step-by-step scripts. The agent supports multi-step task execution, enabling it to perform sequences of actions across multiple pages while maintaining context. It also provides structured output formats such as JSON, HTML, Markdown, or screenshots, making it easy to integrate results into other systems or pipelines. Because it can interact with dynamic, JavaScript-heavy websites, it is suitable for modern web scraping and automation tasks. -
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MiroThinker
MiroThinker is an open source deep research agent
MiroThinker is an open-source deep research AI agent designed to perform complex reasoning, information gathering, and predictive analysis tasks. The system focuses on enabling long-horizon research workflows by allowing the agent to interact repeatedly with external tools, search systems, and data sources while refining its reasoning through iterative steps. Rather than simply generating responses from a single prompt, the agent performs structured multi-step reasoning processes that... -
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R-KV
Redundancy-aware KV Cache Compression for Reasoning Models
...Modern transformer models rely heavily on KV caches during autoregressive decoding, which store intermediate attention states to accelerate generation. However, these caches can consume large amounts of memory, especially in reasoning-oriented models with long context windows. R-KV introduces a method for compressing the KV cache during decoding, allowing models to maintain reasoning performance while reducing memory consumption and computational overhead. The approach focuses on identifying which attention heads and cache components are most important for maintaining reasoning quality, allowing less critical information to be compressed or discarded. ... -
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Megatron-LM
Ongoing research training transformer models at scale
...The repository provides both a reference training implementation and Megatron Core, a composable library of high-performance building blocks for custom large-model pipelines. It supports advanced parallelism strategies including tensor, pipeline, data, expert, and context parallelism, enabling training across massive multi-GPU and multi-node clusters. The framework includes mixed-precision training options such as FP16, BF16, FP8, and FP4 to maximize performance and memory efficiency on modern hardware. Megatron-LM is widely used in research and industry for pretraining GPT-, BERT-, T5-, and multimodal-style models, with tooling for checkpoint conversion and interoperability with Hugging Face. ... -
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ownCloud Desktop Client
Desktop Syncing Client for ownCloud
The ownCloud Desktop Client is a cross-platform synchronization tool that connects local computers to an ownCloud server, enabling seamless file access and offline productivity. It integrates directly with the operating system’s file manager so users can work with cloud files as if they were stored locally. The client supports selective sync and virtual file capabilities, allowing users to control disk usage by downloading files only when needed. It can manage multiple ownCloud accounts... -
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Personal AI Infrastructure
Agentic AI Infrastructure for magnifying HUMAN capabilities
Personal AI Infrastructure (PAI) is an ambitious open-source project focused on building a deeply personalized agentic AI system that learns from every interaction to magnify human capabilities across tasks and workflows. Unlike once-stateless chatbots, this platform captures context, memory, goals, preferences, and feedback to enable an AI that understands you and improves over time, using a full agentic stack rather than simple question-answer loops. PAI blends tools like browsing, code editing, execution, and more into a continuous Observe → Think → Plan → Execute → Verify → Learn cycle, letting the system refine its behavior with each use. ... -
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tirith
Your browser catches homograph attacks
...It targets real-world attack classes like Unicode homograph URLs (lookalike domains), terminal injection tricks (ANSI escape sequences and bidi overrides), and “pipe-to-shell” installation patterns such as curl | bash that attackers frequently abuse. The project emphasizes local-only analysis with no telemetry and no background daemons, so it can run offline and keep sensitive command context on-device. It integrates into popular shells via hooks (zsh, bash, fish, and PowerShell), including paste-aware protections so hidden characters or malicious rewrites get caught at the moment they enter the terminal. -
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MemOS
AI memory OS for LLM and Agent systems
...The project explores rethinking system abstractions by tightly coupling computation with memory objects so that programs can operate on large datasets without expensive serialization or context switching. It aims to support advanced workflows like persistent in-memory data structures, crash-resilient state handling, and seamless sharing of data across tasks without copying. By abandoning some of the historical assumptions of Unix-style operating systems, MemOS attempts to unlock new performance and scalability tradeoffs for applications that need high throughput and low latency on memory-intensive workloads. -
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PageIndex
Document Index for Vectorless, Reasoning-based RAG
...The project includes example notebooks, scripts for tree generation and search, and support for multiple document formats including PDF and markdown, with tools designed to preserve context and semantic boundaries. -
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Gitmal
A static page generator for repos
...It supports themes and custom styles, allowing creators to personalize the look and feel of the generated site. For developers who want to archive, document, or display their code in a non-interactive context, gitmal provides a straightforward and configurable solution. -
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Claude Agent SDK for Python
Python SDK for Claude Agent
Claude Agent SDK (Python) is the official Python counterpart to the TypeScript Agent SDK from Anthropic, designed to let Python developers build powerful autonomous AI agents with Claude Code under the hood. The SDK wraps the core functionality of Claude Code and exposes high-level asynchronous and synchronous interfaces to query prompts, manage sessions, and orchestrate tool use — so you can build agents that understand code, make edits, run bash commands, interact with files, and handle... -
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Poznote
Poznote is a personal note-taking and documentation platform
...It supports rich text and Markdown editing alongside outline-style notes, attachments, workspaces, folders, and tags, making it suitable for everything from quick daily journaling to long-term documentation projects. Poznote includes a RESTful API that enables programmatic access and integration with other tools, and it even offers an MCP (Model Context Protocol) server to let AI assistants interact with your notes via natural language commands. In addition to basic note creation and editing, the platform features powerful full-text search, public sharing links, backups and exports, trash management, and multi-user support with profiles isolated per user, giving individuals and teams control over their content.
