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  • 1
    Prompt Optimizer

    Prompt Optimizer

    A prompt word optimizer to help write high-quality prompt words

    ...It focuses on automating and streamlining the iterative refinement of prompts by analyzing examples, comparing original and optimized text, and guiding users through multi-round improvements that surface clarity, structure, and specificity. With support for different deployment modes including web apps, desktop apps, Chrome plugins, and Docker containers, Prompt-Optimizer offers flexibility that suits both individual developers and teams working in diverse environments. It also includes advanced capabilities like multi-model integration, context testing, and real-time comparison of prompt outputs, helping users to see exactly how prompt changes influence results.
    Downloads: 5 This Week
    Last Update:
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  • 2
    GitHub Copilot SDK

    GitHub Copilot SDK

    Multi-platform SDK for integrating GitHub Copilot Agent into apps

    ...Instead of being limited to editors like VS Code, this SDK lets teams embed Copilot-style code suggestions, natural language assistance, and predictive completions anywhere they see fit—such as internal IDEs, browser extensions, documentation portals, or bespoke tools tailored to specific languages or frameworks. It provides a structured API surface for invoking the Copilot model in context with the surrounding user state, capturing document content, cursor position, and invocation triggers so suggestions are relevant and responsive. The SDK includes helpers for streaming completions, managing rate limits, handling authentication, and integrating with telemetry and analytics pipelines.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Supermemory

    Supermemory

    Memory engine and app that is extremely fast, scalable

    ...The platform allows individuals to ingest text, documents, and other content forms, then uses advanced retrieval and embedding techniques to index and relate information intelligently so that users can recall relevant knowledge in context rather than just by keyword match. It often incorporates clustering, semantic search, and summarization modules to reduce cognitive load and surface key ideas, which makes it useful for research, study, writing, and long-term project tracking. Users can interact with the system via conversational queries or traditional search interfaces, and the system leverages vector embeddings and memory scoring to prioritize the most relevant results.
    Downloads: 1 This Week
    Last Update:
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  • 4
    QMD

    QMD

    mini cli search engine for your docs, knowledge bases, etc.

    ...Users can organize content into named collections, embed documents for semantic retrieval, and then perform keyword searches, semantic searches, or hybrid natural-language queries to quickly surface the most useful information across all indexed sources. Because the entire system runs on the user’s machine, privacy is preserved and there’s no risk of exposing sensitive content to outside providers.
    Downloads: 1 This Week
    Last Update:
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    Our Free Plans just got better! | Auth0

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  • 5
    Composer API

    Composer API

    OpenAI-compatible API proxy for Cursor Composer

    Composer API is an OpenAI-compatible API proxy for Cursor Composer. It is designed for developers who want to interact with Cursor’s Composer-style agent workflow through a familiar API surface. The project acts as a translation layer, letting compatible clients send requests in an OpenAI-like format while routing them toward the Composer backend behavior. This makes it useful for experimentation, automation, or tool integrations that already understand OpenAI-style chat completion patterns. Its scope appears focused and lightweight rather than being a broad AI gateway or multi-provider orchestration platform. ...
    Downloads: 0 This Week
    Last Update:
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  • 6
    Copilot for Obsidian

    Copilot for Obsidian

    AI assistant plugin that brings chat, search, and agents to Obsidian

    Obsidian Copilot is an open source plugin that integrates AI-powered assistance directly into the Obsidian note-taking environment. It enables users to interact with their notes through conversational chat, allowing them to ask questions, summarize information, and generate new content using large language models. It works inside a user’s vault and can analyze notes, documents, and other referenced materials to provide context-aware responses. It supports multiple AI providers and models,...
    Downloads: 1 This Week
    Last Update:
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  • 7
    ChatGPT Shortcut

    ChatGPT Shortcut

    Curated AI prompt manager with search, sharing, and browser access

    ...In addition to built-in prompts, users can create, edit, and organize their own prompts for personal use. It also supports community participation where users can share prompts and vote on contributions, allowing useful prompts to surface through community feedback. Browser extension support further improves accessibility by enabling a sidebar interface.
    Downloads: 0 This Week
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  • 8
    OpenAI Realtime Agents

    OpenAI Realtime Agents

    This is a simple demonstration of more advanced, agentic patterns

    ...It also supports a “Chat-Supervisor” pattern where a lightweight realtime chat agent handles user interactions and delegates more complex reasoning or tool usage to a stronger textual model (e.g. GPT-4). Because realtime agents are still a beta feature, the code and API surface are subject to changes and may evolve.
    Downloads: 0 This Week
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  • 9
    agents.md

    agents.md

    A simple, open format for guiding coding agents

    ...The idea is that AGENTS.md acts as a “README for agents”: a predictable, structured place where humans can put instructions, conventions, build/test commands, environment setup, and other guidance that generative agents (e.g. code-writing, code-assisting tools) should consult when operating in the repo. Instead of putting everything in README or doc files (which are more human-oriented and might mix high-level narrative), AGENTS.md is intended to surface agent-relevant details that help them “do the right thing” (tests, style, project structure, tooling).
    Downloads: 0 This Week
    Last Update:
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  • 10
    scholar-sidekick-mcp

    scholar-sidekick-mcp

    Citations, exports & retraction checks for AI assistants (MCP)

    ...From any supported identifier - DOI, PMID, PMCID, ISBN, arXiv ID, ISSN, NASA ADS bibcode, or WHO IRIS URL - it can: - resolveIdentifier - return structured bibliographic metadata (CSL JSON) - formatCitation - format into 10,000+ CSL styles (Vancouver, APA, AMA, IEEE, CSE, or any CSL style ID) - exportCitation - export to BibTeX, RIS, CSL JSON, EndNote, RefWorks, MEDLINE, Zotero RDF, CSV, or plain text - checkRetraction - surface retractions, corrections, and expressions of concern (Crossref / Retraction Watch) - checkOpenAccess - report OA status and the best legal landing/PDF URL (Unpaywall) - verifyCitation - cross-check a claimed citation against the record at its identifier, detecting the AI-driven "real DOI + invented title" fabrication pattern that simple resolution cannot catch MIT licensed; source on GitHub.
    Downloads: 0 This Week
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