Best AI tools for< Manage Context >
20 - AI tool Sites
Godly
Godly is a tool that allows you to add your own data to GPT for personalized completions. It makes it easy to set up and manage your context, and comes with a chat bot to explore your context with no coding required. Godly also makes it easy to debug and manage which contexts are influencing your prompts, and provides an easy-to-use SDK for builders to quickly integrate context to their GPT completions.
BigPanda
BigPanda is an AI-powered ITOps platform that helps businesses automatically identify actionable alerts, proactively prevent incidents, and ensure service availability. It uses advanced AI/ML algorithms to analyze large volumes of data from various sources, including monitoring tools, event logs, and ticketing systems. BigPanda's platform provides a unified view of IT operations, enabling teams to quickly identify and resolve issues before they impact business-critical services.
Ready to Send
Ready to Send is an AI-powered Gmail assistant that automates the process of generating personalized email responses. It seamlessly integrates with Gmail to provide lightning-fast email replies, personalized and editable responses, and privacy-centric handling of sensitive data. The application leverages AI technology to craft contextual responses in the user's voice, transforming inbox management from a chore to a delight. With support for multiple languages and advanced language models, Ready to Send offers a secure and efficient solution for enhancing email productivity.
Height
Height is an autonomous project management tool designed for teams involved in designing and building projects. It automates manual tasks to provide space for collaborative work, focusing on backlog upkeep, spec updates, and bug triage. With project intelligence and collaboration features, Height offers a customizable workspace with autonomous capabilities to streamline project management. Users can discuss projects in context and benefit from an AI assistant for creating better stories. The tool aims to revolutionize project management by offloading routine tasks to an intelligent system.
Impel
Impel is an AI tool designed for Mac users to automate daily tasks and enhance productivity. It continuously learns the user's workflow in the background and provides instant assistance when needed. With features like summarizing videos and articles, managing tasks, and providing quick authentication, Impel aims to simplify and streamline the user's digital experience. The application prioritizes privacy by storing and processing data locally, ensuring sensitive information remains secure. Impel serves as a personal tutor, offering contextual suggestions and actions without requiring manual input, making it an efficient AI companion for Mac users.
The Video Calling App
The Video Calling App is an AI-powered platform designed to revolutionize meeting experiences by providing laser-focused, context-aware, and outcome-driven meetings. It aims to streamline post-meeting routines, enhance collaboration, and improve overall meeting efficiency. With powerful integrations and AI features, the app captures, organizes, and distills meeting content to provide users with a clearer perspective and free headspace. It offers seamless integration with popular tools like Slack, Linear, and Google Calendar, enabling users to automate tasks, manage schedules, and enhance productivity. The app's user-friendly interface, interactive features, and advanced search capabilities make it a valuable tool for global teams and remote workers seeking to optimize their meeting experiences.
Dola
Dola is an AI-powered calendar assistant that helps you manage your schedule through messaging apps. With Dola, you can add events, edit them, and get reminders, all through natural language conversations. Dola also integrates with your existing calendar apps, so you can keep all your events in one place.
Criya AI
Criya AI is an Intelligent Content System that helps boost buyer engagement by providing AI-powered tools such as Content Builder, Slide Generator, Visual Design, and more. It offers features like Company knowledge management, Engagement Analytics, Secure Sharing, and Team Collaboration. Criya AI caters to various use cases like Account Based Prospecting, Lead Capture, and Deal Execution, benefiting roles such as BDR/SDR, Account Executive, and Sales Trainer. The application is designed to accelerate revenue generation by producing client-ready assets quickly and efficiently.
Dola
Dola is an AI calendar assistant that helps users schedule their lives efficiently and save time. It allows users to set reminders, make calendar events, and manage tasks through natural language communication. Dola works with voice messages, text messages, and images, making it a versatile and user-friendly tool. With features like smarter scheduling, daily weather reports, faster search, and seamless integration with popular calendar apps, Dola aims to simplify task and time management for its users. The application has received positive feedback for its accuracy, ease of use, and ability to sync across multiple devices.
slAItor
slAItor is an AI translation assistant powered by GPT technology. It offers advanced translation features and customization options to enhance the translation experience. Users can benefit from step-by-step translations, multiple translation alternatives, and unique translation styles. The tool supports 28 language pairs and combines recent AI advancements with traditional translation techniques to deliver accurate and efficient translations. slAItor also provides post-processing and evaluation steps to ensure translation quality and offers a user-friendly interface for seamless translation management.
Wally
Wally is the world's first AI-powered personal finance app. It helps you track your spending, create budgets, and plan for the future. Wally is available on iOS and Android devices.
Dola
Dola is an AI-powered calendar assistant that helps you manage your schedule through messaging apps. With Dola, you can add events, edit them, and get reminders, all without having to fill out tedious forms or quote previous calendar events. Dola also supports group chats, so you can easily schedule events with friends and family. Dola is available on iOS, Android, and the web.
Hubble
Hubble is an all-in-one user research software that provides tools for continuous discovery. It offers a wide range of features such as in-product research, contextual surveys, user targeting, prototype tests, usability tests, and more. Hubble empowers product teams to collect valuable insights from users to build better products. The platform also includes resources like guides, templates, demo videos, and customer stories to help users maximize the benefits of user research.
Valossa
Valossa is an AI video analysis tool that offers a range of products for automating captions, content logging, contextual advertising, promo video clipping, sensitive content identification, and video mood analysis. It leverages multimodal AI for video, image, and audio recognition, speech-to-text, computer vision, and emotion analysis. Valossa provides customized AI solutions for video tagging, logging, and transcripts, making video workflows more efficient and productive.
Alan AI
Alan AI is an advanced conversational AI platform that offers a wide range of AI solutions for various industries. It simplifies tasks, enhances business operations, and empowers sales strategies through AI technology. The platform provides features like question answering, semantic search, reporting, private data sources, and context awareness. With a focus on actionable AI, Alan AI aims to redefine learning and streamline decision-making processes. It offers a comprehensive suite of tools for developers, including technology architecture overview, integration, deployment, and analytics. Alan AI stands out for its innovative approach to AI reasoning, transparency, and control, making it a valuable asset for organizations seeking to leverage AI capabilities.
Smartling
Smartling is an AI-enabled translation platform that offers language translation and content localization solutions. It helps companies accurately translate and localize content into any language and media at scale. Smartling's platform is cloud-based with AI-powered content and workflow management, performance dashboards, cost estimating, and a contextual CAT tool. It provides human translation services, Neural Machine Translation, and automated quality checks. The platform simplifies managing multilingual content, automates content ingestion, and optimizes performance with real-time reporting.
Vexa
Vexa is a real-time AI meeting assistant designed to empower users to maintain focus, grasp context, decode industry-specific terms, and capture critical information effortlessly during business meetings. It offers features such as instant context recovery, flawless project execution, industry terminology decoding, enhanced focus and productivity, and ADHD-friendly meeting assistance. Vexa helps users stay sharp in long meetings, record agreements accurately, clarify industry jargon, and manage time-sensitive information effectively. It integrates with Google Meet and Zoom, supports various functionalities using the GPT-4 Chat API, and ensures privacy through end-to-end encryption and data protection measures.
Alter
Alter is an AI tool designed for Apple power users to enhance productivity by leveraging AI capabilities that understand tasks and fetch context from various applications. It offers immediate AI-driven actions to streamline tasks such as writing, coding, managing emails, creating pitch decks, handling social media, translating documents, fixing grammar, and generating YouTube summaries. Alter works seamlessly across Finder, Apple Mail, Keynote, browsers, and other macOS apps, providing mnemonic shortcuts and task-based suggestions. Users can customize their AI actions and access specialized AI experts for guidance in Marketing, Technology, and Business.
Native AI
Native AI is an innovative AI tool that aims to revolutionize the way users interact with various applications by providing a unified interface for faster and more efficient work. It eliminates the need for context switching, clunky user interfaces, and manual tasks, offering a seamless experience across different apps. Users can interact with AI through voice commands, typing, or clicking, enabling lightning-fast interactions and effortless automations. The tool simplifies complex tasks by providing automation suggestions and intuitive interfaces based on user intent, ultimately enhancing productivity and streamlining workflows.
Fluid
Fluid is a private AI assistant designed for Mac users, specifically those with Apple Silicon and macOS 14 or later. It offers offline capabilities and is powered by the advanced Llama 3 AI by Meta. Fluid ensures unparalleled privacy by keeping all chats and data on the user's Mac, without the need to send sensitive information to third parties. The application features voice control, one-click installation, easy access, security by design, auto-updates, history mode, web search capabilities, context awareness, and memory storage. Users can interact with Fluid by typing or using voice commands, making it a versatile and user-friendly AI tool for various tasks.
20 - Open Source AI Tools
plandex
Plandex is an open source, terminal-based AI coding engine designed for complex tasks. It uses long-running agents to break up large tasks into smaller subtasks, helping users work through backlogs, navigate unfamiliar technologies, and save time on repetitive tasks. Plandex supports various AI models, including OpenAI, Anthropic Claude, Google Gemini, and more. It allows users to manage context efficiently in the terminal, experiment with different approaches using branches, and review changes before applying them. The tool is platform-independent and runs from a single binary with no dependencies.
model.nvim
model.nvim is a tool designed for Neovim users who want to utilize AI models for completions or chat within their text editor. It allows users to build prompts programmatically with Lua, customize prompts, experiment with multiple providers, and use both hosted and local models. The tool supports features like provider agnosticism, programmatic prompts in Lua, async and multistep prompts, streaming completions, and chat functionality in 'mchat' filetype buffer. Users can customize prompts, manage responses, and context, and utilize various providers like OpenAI ChatGPT, Google PaLM, llama.cpp, ollama, and more. The tool also supports treesitter highlights and folds for chat buffers.
embodied-agents
Embodied Agents is a toolkit for integrating large multi-modal models into existing robot stacks with just a few lines of code. It provides consistency, reliability, scalability, and is configurable to any observation and action space. The toolkit is designed to reduce complexities involved in setting up inference endpoints, converting between different model formats, and collecting/storing datasets. It aims to facilitate data collection and sharing among roboticists by providing Python-first abstractions that are modular, extensible, and applicable to a wide range of tasks. The toolkit supports asynchronous and remote thread-safe agent execution for maximal responsiveness and scalability, and is compatible with various APIs like HuggingFace Spaces, Datasets, Gymnasium Spaces, Ollama, and OpenAI. It also offers automatic dataset recording and optional uploads to the HuggingFace hub.
Gensokyo-llm
Gensokyo-llm is a tool designed for Gensokyo and Onebotv11, providing a one-click solution for large models. It supports various Onebotv11 standard frameworks, HTTP-API, and reverse WS. The tool is lightweight, with built-in SQLite for context maintenance and proxy support. It allows easy integration with the Gensokyo framework by configuring reverse HTTP and forward HTTP addresses. Users can set system settings, role cards, and context length. Additionally, it offers an openai original flavor API with automatic context. The tool can be used as an API or integrated with QQ channel robots. It supports converting GPT's SSE type and ensures memory safety in concurrent SSE environments. The tool also supports multiple users simultaneously transmitting SSE bidirectionally.
Build-Modern-AI-Apps
This repository serves as a hub for Microsoft Official Build & Modernize AI Applications reference solutions and content. It provides access to projects demonstrating how to build Generative AI applications using Azure services like Azure OpenAI, Azure Container Apps, Azure Kubernetes, and Azure Cosmos DB. The solutions include Vector Search & AI Assistant, Real-Time Payment and Transaction Processing, and Medical Claims Processing. Additionally, there are workshops like the Intelligent App Workshop for Microsoft Copilot Stack, focusing on infusing intelligence into traditional software systems using foundation models and design thinking.
chatgpt-cli
ChatGPT CLI provides a powerful command-line interface for seamless interaction with ChatGPT models via OpenAI and Azure. It features streaming capabilities, extensive configuration options, and supports various modes like streaming, query, and interactive mode. Users can manage thread-based context, sliding window history, and provide custom context from any source. The CLI also offers model and thread listing, advanced configuration options, and supports GPT-4, GPT-3.5-turbo, and Perplexity's models. Installation is available via Homebrew or direct download, and users can configure settings through default values, a config.yaml file, or environment variables.
duo-attention
DuoAttention is a framework designed to optimize long-context large language models (LLMs) by reducing memory and latency during inference without compromising their long-context abilities. It introduces a concept of Retrieval Heads and Streaming Heads to efficiently manage attention across tokens. By applying a full Key and Value (KV) cache to retrieval heads and a lightweight, constant-length KV cache to streaming heads, DuoAttention achieves significant reductions in memory usage and decoding time for LLMs. The framework uses an optimization-based algorithm with synthetic data to accurately identify retrieval heads, enabling efficient inference with minimal accuracy loss compared to full attention. DuoAttention also supports quantization techniques for further memory optimization, allowing for decoding of up to 3.3 million tokens on a single GPU.
codebase-context-spec
The Codebase Context Specification (CCS) project aims to standardize embedding contextual information within codebases to enhance understanding for both AI and human developers. It introduces a convention similar to `.env` and `.editorconfig` files but focused on documenting code for both AI and humans. By providing structured contextual metadata, collaborative documentation guidelines, and standardized context files, developers can improve code comprehension, collaboration, and development efficiency. The project includes a linter for validating context files and provides guidelines for using the specification with AI assistants. Tooling recommendations suggest creating memory systems, IDE plugins, AI model integrations, and agents for context creation and utilization. Future directions include integration with existing documentation systems, dynamic context generation, and support for explicit context overriding.
AgentPilot
Agent Pilot is an open source desktop app for creating, managing, and chatting with AI agents. It features multi-agent, branching chats with various providers through LiteLLM. Users can combine models from different providers, configure interactions, and run code using the built-in Open Interpreter. The tool allows users to create agents, manage chats, work with multi-agent workflows, branching workflows, context blocks, tools, and plugins. It also supports a code interpreter, scheduler, voice integration, and integration with various AI providers. Contributions to the project are welcome, and users can report known issues for improvement.
Hexabot
Hexabot Community Edition is an open-source chatbot solution designed for flexibility and customization, offering powerful text-to-action capabilities. It allows users to create and manage AI-powered, multi-channel, and multilingual chatbots with ease. The platform features an analytics dashboard, multi-channel support, visual editor, plugin system, NLP/NLU management, multi-lingual support, CMS integration, user roles & permissions, contextual data, subscribers & labels, and inbox & handover functionalities. The directory structure includes frontend, API, widget, NLU, and docker components. Prerequisites for running Hexabot include Docker and Node.js. The installation process involves cloning the repository, setting up the environment, and running the application. Users can access the UI admin panel and live chat widget for interaction. Various commands are available for managing the Docker services. Detailed documentation and contribution guidelines are provided for users interested in contributing to the project.
hugging-chat-api
Unofficial HuggingChat Python API for creating chatbots, supporting features like image generation, web search, memorizing context, and changing LLMs. Users can log in, chat with the ChatBot, perform web searches, create new conversations, manage conversations, switch models, get conversation info, use assistants, and delete conversations. The API also includes a CLI mode with various commands for interacting with the tool. Users are advised not to use the application for high-stakes decisions or advice and to avoid high-frequency requests to preserve server resources.
claude-memory
Claude Memory is a Chrome extension that enhances interactions with Claude by storing and retrieving important information from conversations, making interactions personalized and context-aware. It allows users to easily manage and organize stored information, with seamless integration with the Claude AI interface.
airflow-chart
This Helm chart bootstraps an Airflow deployment on a Kubernetes cluster using the Helm package manager. The version of this chart does not correlate to any other component. Users should not expect feature parity between OSS airflow chart and the Astronomer airflow-chart for identical version numbers. To install this helm chart remotely (using helm 3) kubectl create namespace airflow helm repo add astronomer https://helm.astronomer.io helm install airflow --namespace airflow astronomer/airflow To install this repository from source sh kubectl create namespace airflow helm install --namespace airflow . Prerequisites: Kubernetes 1.12+ Helm 3.6+ PV provisioner support in the underlying infrastructure Installing the Chart: sh helm install --name my-release . The command deploys Airflow on the Kubernetes cluster in the default configuration. The Parameters section lists the parameters that can be configured during installation. Upgrading the Chart: First, look at the updating documentation to identify any backwards-incompatible changes. To upgrade the chart with the release name `my-release`: sh helm upgrade --name my-release . Uninstalling the Chart: To uninstall/delete the `my-release` deployment: sh helm delete my-release The command removes all the Kubernetes components associated with the chart and deletes the release. Updating DAGs: Bake DAGs in Docker image The recommended way to update your DAGs with this chart is to build a new docker image with the latest code (`docker build -t my-company/airflow:8a0da78 .`), push it to an accessible registry (`docker push my-company/airflow:8a0da78`), then update the Airflow pods with that image: sh helm upgrade my-release . --set images.airflow.repository=my-company/airflow --set images.airflow.tag=8a0da78 Docker Images: The Airflow image that are referenced as the default values in this chart are generated from this repository: https://github.com/astronomer/ap-airflow. Other non-airflow images used in this chart are generated from this repository: https://github.com/astronomer/ap-vendor. Parameters: The complete list of parameters supported by the community chart can be found on the Parameteres Reference page, and can be set under the `airflow` key in this chart. The following tables lists the configurable parameters of the Astronomer chart and their default values. | Parameter | Description | Default | | :----------------------------- | :-------------------------------------------------------------------------------------------------------- | :---------------------------- | | `ingress.enabled` | Enable Kubernetes Ingress support | `false` | | `ingress.acme` | Add acme annotations to Ingress object | `false` | | `ingress.tlsSecretName` | Name of secret that contains a TLS secret | `~` | | `ingress.webserverAnnotations` | Annotations added to Webserver Ingress object | `{}` | | `ingress.flowerAnnotations` | Annotations added to Flower Ingress object | `{}` | | `ingress.baseDomain` | Base domain for VHOSTs | `~` | | `ingress.auth.enabled` | Enable auth with Astronomer Platform | `true` | | `extraObjects` | Extra K8s Objects to deploy (these are passed through `tpl`). More about Extra Objects. | `[]` | | `sccEnabled` | Enable security context constraints required for OpenShift | `false` | | `authSidecar.enabled` | Enable authSidecar | `false` | | `authSidecar.repository` | The image for the auth sidecar proxy | `nginxinc/nginx-unprivileged` | | `authSidecar.tag` | The image tag for the auth sidecar proxy | `stable` | | `authSidecar.pullPolicy` | The K8s pullPolicy for the the auth sidecar proxy image | `IfNotPresent` | | `authSidecar.port` | The port the auth sidecar exposes | `8084` | | `gitSyncRelay.enabled` | Enables git sync relay feature. | `False` | | `gitSyncRelay.repo.url` | Upstream URL to the git repo to clone. | `~` | | `gitSyncRelay.repo.branch` | Branch of the upstream git repo to checkout. | `main` | | `gitSyncRelay.repo.depth` | How many revisions to check out. Leave as default `1` except in dev where history is needed. | `1` | | `gitSyncRelay.repo.wait` | Seconds to wait before pulling from the upstream remote. | `60` | | `gitSyncRelay.repo.subPath` | Path to the dags directory within the git repository. | `~` | Specify each parameter using the `--set key=value[,key=value]` argument to `helm install`. For example, sh helm install --name my-release --set executor=CeleryExecutor --set enablePodLaunching=false . Walkthrough using kind: Install kind, and create a cluster We recommend testing with Kubernetes 1.25+, example: sh kind create cluster --image kindest/node:v1.25.11 Confirm it's up: sh kubectl cluster-info --context kind-kind Add Astronomer's Helm repo sh helm repo add astronomer https://helm.astronomer.io helm repo update Create namespace + install the chart sh kubectl create namespace airflow helm install airflow -n airflow astronomer/airflow It may take a few minutes. Confirm the pods are up: sh kubectl get pods --all-namespaces helm list -n airflow Run `kubectl port-forward svc/airflow-webserver 8080:8080 -n airflow` to port-forward the Airflow UI to http://localhost:8080/ to confirm Airflow is working. Login as _admin_ and password _admin_. Build a Docker image from your DAGs: 1. Start a project using astro-cli, which will generate a Dockerfile, and load your DAGs in. You can test locally before pushing to kind with `astro airflow start`. `sh mkdir my-airflow-project && cd my-airflow-project astro dev init` 2. Then build the image: `sh docker build -t my-dags:0.0.1 .` 3. Load the image into kind: `sh kind load docker-image my-dags:0.0.1` 4. Upgrade Helm deployment: sh helm upgrade airflow -n airflow --set images.airflow.repository=my-dags --set images.airflow.tag=0.0.1 astronomer/airflow Extra Objects: This chart can deploy extra Kubernetes objects (assuming the role used by Helm can manage them). For Astronomer Cloud and Enterprise, the role permissions can be found in the Commander role. yaml extraObjects: - apiVersion: batch/v1beta1 kind: CronJob metadata: name: "{{ .Release.Name }}-somejob" spec: schedule: "*/10 * * * *" concurrencyPolicy: Forbid jobTemplate: spec: template: spec: containers: - name: myjob image: ubuntu command: - echo args: - hello restartPolicy: OnFailure Contributing: Check out our contributing guide! License: Apache 2.0 with Commons Clause
OpenAI-sublime-text
The OpenAI Completion plugin for Sublime Text provides first-class code assistant support within the editor. It utilizes LLM models to manipulate code, engage in chat mode, and perform various tasks. The plugin supports OpenAI, llama.cpp, and ollama models, allowing users to customize their AI assistant experience. It offers separated chat histories and assistant settings for different projects, enabling context-specific interactions. Additionally, the plugin supports Markdown syntax with code language syntax highlighting, server-side streaming for faster response times, and proxy support for secure connections. Users can configure the plugin's settings to set their OpenAI API key, adjust assistant modes, and manage chat history. Overall, the OpenAI Completion plugin enhances the Sublime Text editor with powerful AI capabilities, streamlining coding workflows and fostering collaboration with AI assistants.
FileKitty
FileKitty is a simple file selection and concatenation tool that allows users to select files from a directory, concatenate them into a single file, save the concatenated file, and copy files to the clipboard. It is useful for concatenating files for use in a single file format and pasting file contents into an LLM to provide context to a prompt. The tool is built using Poetry to manage dependencies and build the app.
AzureOpenAI-with-APIM
AzureOpenAI-with-APIM is a repository that provides a one-button deploy solution for Azure API Management (APIM), Key Vault, and Log Analytics to work seamlessly with Azure OpenAI endpoints. It enables organizations to scale and manage their Azure OpenAI service efficiently by issuing subscription keys via APIM, delivering usage metrics, and implementing policies for access control and cost management. The repository offers detailed guidance on implementing APIM to enhance Azure OpenAI resiliency, scalability, performance, monitoring, and chargeback capabilities.
anything-llm
AnythingLLM is a full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.
multi-agent-orchestrator
Multi-Agent Orchestrator is a flexible and powerful framework for managing multiple AI agents and handling complex conversations. It intelligently routes queries to the most suitable agent based on context and content, supports dual language implementation in Python and TypeScript, offers flexible agent responses, context management across agents, extensible architecture for customization, universal deployment options, and pre-built agents and classifiers. It is suitable for various applications, from simple chatbots to sophisticated AI systems, accommodating diverse requirements and scaling efficiently.
wren-engine
Wren Engine is a semantic engine designed to serve as the backbone of the semantic layer for LLMs. It simplifies the user experience by translating complex data structures into a business-friendly format, enabling end-users to interact with data using familiar terminology. The engine powers the semantic layer with advanced capabilities to define and manage modeling definitions, metadata, schema, data relationships, and logic behind calculations and aggregations through an analytics-as-code design approach. By leveraging Wren Engine, organizations can ensure a developer-friendly semantic layer that reflects nuanced data relationships and dynamics, facilitating more informed decision-making and strategic insights.
20 - OpenAI Gpts
Blood pressure advice
Friendly guide on blood pressure, considering personal health context.
Seabiscuit Business Board Director Pro
Be Boardroom Brilliant: Specializes in corporate board design, recruitment, and operation, offering expert guidance on board composition, CEO performance monitoring, and risk management tailored to specific business needs and contexts. (v1.10)
Rentout
this chat gpt will analyze the info and act as a expert social media manager, will create blog posts and content for social media platforms
Squarespace Specialist
Focused on practical Squarespace solutions, trained on over 32,361 pages of content.
OctoberCMS Assistant
Expert in OctoberCMS, using provided docs and source code for precise guidance
Social Media Franzi |Post Creator auf Deutsch 🇩🇪
Du möchtest FaceBook Posts erstellen, die deine Leser dazu anregen mit dir in Verbindung zu treten? Dann ist FB Franzi genau die richtig für dich!