Search Results for "future" - Page 8
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Showing 2570 open source projects for "future"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Web3Modal
A single Web3 provider solution for all Wallets
...Head over to cloud.walletconnect to sign up and generate your projectId, which will be required to allow interactions with our explorer api, optional WalletConnect rpc provider and more v2 protocol features in the future. -
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Chainlink
node of the decentralized oracle network
...Use decentralization, trusted nodes, premium data, and cryptographic proofs to connect highly accurate and available data/APIs to any smart contract. Build on a flexible framework that can retrieve data from any API, connect with existing systems, and integrate with any current or future blockchain. Integrate pre-built, time-tested oracle solutions that already secure tens of billions in smart contract value for market-leading decentralized applications. Use a decentralized network of Chainlink Automation nodes to automate contracts, mitigating risk of manual interventions and centralized servers. -
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Rbatis
Rust High Performance compile-time ORM(RBSON based)
...Zero cost Dynamic SQL, implemented using (proc-macro,compile-time, Cow (Reduce unnecessary cloning)) techniques, don't need ONGL engine(mybatis) Free deserialization, Auto Deserialize to any struct(Option,Map,Vec...) High performance, Based on Future, with async_std/tokio, single threaded benchmark can easily achieve 200,000 QPS. logical deletes, pagination, py-like SQL and basic Mybatis functionalities. Supports logging, customizable logging based on log crate. 100% Safe Rust with #![forbid(unsafe_code)] enabled. rbatis/example (import into Clion!). abs_admin project an complete background user management system( Vue.js+rbatis+actix-web). -
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Weights and Biases
Tool for visualizing and tracking your machine learning experiments
...Set wandb.config once at the beginning of your script to save your hyperparameters, input settings (like dataset name or model type), and any other independent variables for your experiments. This is useful for analyzing your experiments and reproducing your work in the future. Setting configs also allows you to visualize the relationships between features of your model architecture or data pipeline and model performance. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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LINE Messaging API SDK for Python
LINE Messaging API SDK for Python
...You can create up to 1000 rich menus for one LINE Official Account with the Messaging API. The LINE Messaging API SDK for Python includes experimental asyncio support. (API may change without notice in a future version). Send push messages to multiple users at any time. Messages cannot be sent to groups or rooms. Get progress status of narrowcast messages sent. Gets the user IDs of the members of a room that the bot is in. This includes the user IDs of users who have not added the bot as a friend or has blocked the bot. Get the number of users who have added the bot on or before a specified date. -
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Agent Apprenticeship
The living ecosystem where AI agents complete tasks
Agent Apprenticeship is an open infrastructure project for turning real AI-agent work into reusable learning signals. It lets local agents complete tasks through iterative workflow loops, then records the process as experience that can improve future agents. Apprentice agents can be paired with mentor agents, human reviewers, or domain experts depending on the selected mode. The project supports Codex, Cursor, Claude Code, OpenClaw, OpenCode, Hermes Agent, and custom agent commands. Its seed dataset includes curated tasks, reusable lessons, execution traces, work episodes, and structured experience records. ... -
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Context Hub
Makes coding agents get smarter with every task
...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. It also supports local annotations, allowing an agent to remember project-specific notes, pitfalls, or workarounds across future sessions. Feedback can be sent back to maintainers so shared documentation improves over time. Context Hub is especially useful for teams that use AI coding assistants and want more reliable API usage, fewer hallucinated calls, and a transparent source of agent-readable context. -
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Reflexion
Reflexion: Language Agents with Verbal Reinforcement Learning
...Instead of relying solely on a single-pass response, Reflexion enables agents to evaluate their own outputs, identify errors, and refine their reasoning over multiple iterations, leading to more accurate and reliable results. The framework introduces a mechanism where agents maintain a memory of past attempts and use that memory to guide future decisions, effectively simulating a learning process without requiring traditional model retraining. This approach is particularly useful for complex reasoning tasks, coding challenges, and decision-making scenarios where initial outputs may be incomplete or incorrect. Reflexion also emphasizes transparency by making intermediate reasoning steps explicit, allowing developers to inspect how conclusions are reached and where improvements occur. -
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Kodezi Chronos
Kodezi Chronos is a debugging-first language model
...The project introduces architectural techniques such as Adaptive Graph-Guided Retrieval, which allows the system to navigate large repositories and retrieve relevant debugging information from multiple sources. Another component, Persistent Debug Memory, allows the system to learn patterns from past debugging sessions and apply that knowledge to future problems. The repository mainly contains research documentation, evaluation benchmarks, and experimental frameworks rather than the full proprietary model implementation. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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ReMe
Memory Management Kit for Agents
...The toolkit provides APIs to offload large, ephemeral outputs to external storage and reload them on demand, which reduces memory bloat and keeps active context concise. By combining embeddings, vector search, and summarization workflows, ReMe lets developers build agent systems that can recall and apply past knowledge in future reasoning tasks. The project fits into the broader agent-oriented programming ecosystem by supplying a standardized memory layer that integrates with agent frameworks. -
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F1 Race Replay
An interactive Formula 1 race visualisation and data analysis tool
...This deep dive capability turns passive viewing into active exploration, empowering enthusiasts and professionals to discover insights usually hidden in raw data. The viewer also supports annotations and bookmark capabilities so users can mark moments of interest for future review or comparison. -
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StoryMem
Official code for StoryMem: Multi-shot Long Video Storytelling
StoryMem is a narrative-focused memory accumulation system that lets users build, store, and reference past conversational context or story elements with an AI, effectively enabling the AI to maintain and recall personalized story memories or character arcs over time. Instead of treating each interaction as stateless, it tracks user-defined memory nodes, tags, and story threads so that future interactions can draw on established narrative context like character traits, past events, or ongoing plotlines. This makes it especially valuable for applications like AI-enriched storytelling, long-term role-playing, personal journaling assistants, or persistent game worlds where continuity and coherence matter. StoryMem includes tools to define, edit, and review saved memories, letting users manage what should be retained, forgotten, or emphasized in later conversations. -
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Smaug
Archive your Twitter/X bookmarks to markdown
...Named after the treasure-hoarding dragon, it uses the Twitter API (or community tools like the bird CLI) to fetch bookmarked posts and outputs them in markdown, making it easy to back up content for future reference or documentation. Smaug is designed for automation and integration into personal workflows, allowing users to run setup and export jobs from the command line with minimal configuration. It supports configuration through JSON and can be extended or scripted as part of broader personal knowledge management systems. Because the output is plain markdown, it fits well with static site generators and digital gardens — preserving links, text, and metadata in a format that’s both platform-independent and version-friendly. -
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GetProfile
User profile and long-term memory for your AI agent
...Instead of forcing you to redesign your application, you route your model calls through GetProfile and it captures conversation context automatically as traffic flows. It then extracts structured traits and “memories” from those conversations, stores them, and injects the most relevant profile context back into future prompts so responses stay consistent and personalised over time. The goal is to make “memory” and user understanding an infrastructure concern rather than an app-by-app feature, so teams can add continuity with minimal code changes. Because it behaves like an OpenAI-compatible gateway, it can work with multiple providers and tools that already speak that API shape. -
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Archbase
Open source version of "Fundamentals of Computer Architecture"
The archbase repository appears to focus on architectural patterns, foundational frameworks, or base scaffolds for building software systems (though exact intent may depend on the content). The name “archbase” suggests that it could be a baseline architecture or reference templates for projects, possibly spanning front-end, back-end, or full stacks. The repo likely provides starter code, directory structures, configuration files, core modules, and guidelines that enforce certain... -
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Superduper
Superduper: Integrate AI models and machine learning workflows
Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. This... -
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detekt Kotlin
Static code analysis for Kotlin
...Enjoy static analysis on Android, JVM, JS, Native, and Multiplatform projects out of the box. detekt can be easily extended with custom rules that help you track and fix anti-patterns in your codebase. detekt is entirely open-source and developed by the community. Join us on GitHub and help us shape the future of this tool. -
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ZIO JSON
Fast, secure JSON library with tight ZIO integration
ZIO Json is a fast and secure JSON library with tight ZIO integration. The goal of this project is to create the best all-round JSON library for Scala. Extreme performance is achieved by decoding JSON directly from the input source into business objects (docs/inspired by plokhotnyuk). Although not a requirement, the latest advances in Java Loom can be used to support arbitrarily large payloads with near-zero overhead. Best-in-class security is achieved with an aggressive early exit strategy... -
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Heritrix
Internet Archive's open-source, web-scale, web crawler project
...Heritrix (sometimes spelled heretrix, or misspelled or missaid as heratrix/heritix/heretix/heratix) is an archaic word for heiress (woman who inherits). Since our crawler seeks to collect and preserve the digital artifacts of our culture for the benefit of future researchers and generations, this name seemed apt. Heritrix is designed to respect the robots.txt exclusion directives† and META nofollow tags. Please consider the load your crawl will place on seed sites and set politeness policies accordingly. Also, always identify your crawl with contact information in the User-Agent so sites that may be adversely affected by your crawl can contact you or adapt their server behavior accordingly. -
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AskUI
Humanizing UI Automation
Reliable, automated end-to-end testing that only depends on what is shown on your screen instead of the technology or platform you are running on. This repo is a mono repo consisting mainly of npm packages. We use workspaces to manage the different npm packages etc. This may change in the future as we plan to include also packages, libraries etc. written in other languages in this repo to make the power of AskUI available to non-typescript/-javascript developers as well. Gitpod runs AskUI in a remote Docker container in the cloud. We prepared a GitHub Repository for you to get you started without any hassle. Install AskUI locally to experience it without the limitations of a cloud environment. ... -
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HTTP
Rust HTTP types
...Note that this crate is still early on in its lifecycle so the support libraries that integrate with the http crate are a work in progress! Stay tuned and we’ll be sure to highlight crates here in the future. -
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Personal Management System
Your web application for managing personal data
...Here, you can keep any small information that you need; it can be either quick notes from phone calls, a bunch of information collected all around different pages, or some links to things that you want to check somewhere later in the future. -
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NATS Go Client
Golang client for NATS, the cloud native messaging system
...NATS self-heals and can scale up, down, or handle topology changes anytime with zero downtime to your system. Clients require zero awareness of NATS topology allowing you future proof your system to meet your needs of today and tomorrow. -
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Uniswap Labs Interface
An open source interface for the Uniswap protocol
...Build Defi apps and tools on the largest crypto project on Ethereum. Get started with quick start guides, protocol documentation, a Javascript SDK, and fully open source code. Get paid to build the future of finance. Uniswap Governance offers grant funding for people building apps, tools, and activities on the Uniswap Protocol. To access the Uniswap Interface, use an IPFS gateway link from the latest release. You can block an entire list of tokens by passing in a tokenlist. The Uniswap Interface supports swapping, adding liquidity, removing liquidity and migrating liquidity for Uniswap protocol V2. -
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level
Universal abstract-level database for Node.js and browsers
...Usage from TypeScript requires generic type parameters. At the time of writing, level works in Node.js 12+ and Electron 5+ on Linux, Mac OS, Windows and FreeBSD, including any future Node.js and Electron release thanks to Node-API, including ARM platforms like Raspberry Pi and Android, as well as in Chrome, Firefox, Edge, Safari, iOS Safari and Chrome for Android.
