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35,738 results · Page 642 of 993

EverMind

AI agents

EverMind is a platform that provides continuous, near-infinite memory and long-term identity memory infrastructure for AI agents, with its core product being the open-source EverOS. It aims to transform stateless LLMs into agents that can maintain context across days, sessions, and platforms, solving problems such as context window exhaustion, RAG's lack of understanding, the absence of memory in multi-agent teams, and the inability to track facts as they change over time. EverOS supports multimodal retrieval and ingestion (mRAG), and can parse and store multiple data types such as PDFs, images, Word documents, spreadsheets, presentations, emails, HTML, text files, and URLs through a single API; it has self-evolving agent memory capabilities, recording agent trajectories as Cases and extracting reusable Skills; and it provides a Memory Bank interface to transparently manage user memory, group memory, and agent memory. EverMind also publicly releases SOTA benchmark tests and validates performance with open-source benchmarks, emphasizing that data sovereignty belongs to users.

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EveryDial

AI customer service

EveryDial is an AI receptionist for home service industries such as plumbers, HVAC, roofers, painters, and electricians, used to answer missed calls and book jobs. It answers calls under the business name, operates 24/7, automatically records customer information, and sends appointment details to the business. Users can connect their existing number via call forwarding, and setup takes about 3 minutes. A free trial is available, no credit card required, and it can be canceled with one click. Paid plans include Starter (100 minutes, $49/month, $0.49/minute overage) and another tier that includes 400 minutes with $0.37/minute overage, both including call logs and recordings. Some features such as calendar integration, Jobber integration, and voice cloning are marked as coming soon.

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everything-openai-codex

AI agents

Everything OpenAI Codex (EOC) is an open-source workflow system for OpenAI Codex workflows, licensed under MIT. It transforms a raw agent framework into a repeatable engineering environment, providing scoped instructions, reusable skills, quality gates, session memory, installation configuration, cross-framework adapters, and release evidence. The repository currently contains 60 agents, 232 skills, 110 rules, 28 hook matchers, 29 installation modules, and 75 legacy command compatibility layers, along with a Tkinter-based desktop dashboard. EOC can be used across multiple agent frameworks such as OpenAI Codex, Cursor, OpenCode, Gemini, Zed, GitHub Copilot, Trae, and others. It was distilled from daily Codex usage in real software projects, and is not merely a collection of prompts.

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Evisort

AI productivity

Workday's agentic AI platform, for departments such as HR, finance, and IT, provides AI agents based on enterprise business rules and context. The platform integrates people, policy, skills, and financial data, enabling AI to execute tasks under security, permissions, and audit trails, helping teams improve decision-making efficiency and automate daily processes. The material also mentions the Sana agent experience, which can coordinate multiple agents to anticipate, suggest, and act.

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EvoPresent

AI agents

EvoPresent is the official code repository for the paper "Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations" (ICLR2026), developed by the UCSB-AI team. It is a multi-agent framework for academic presentation (PPT/slide) generation that automatically performs content extraction, speech generation, storyline and script construction, image generation and knowledge retrieval augmentation, and slide design and rendering around paper content, and uses the built-in aesthetic checker PresAesth to evaluate and adjust the initial slides, achieving iterative self-improvement. The project also provides training infrastructure for the PresAesth aesthetic model, presentation video generation capabilities (including lip-sync animation and TTS configuration), and the EvoPresent Benchmark evaluation dataset, making it suitable for researchers and developers to explore automated, high-quality presentation generation solutions in scenarios such as academic reporting and paper explanation.

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EvoScientist

AI agents

EvoScientist is a self-evolving AI research agent system designed to let AI autonomously explore, generate insights, and iteratively improve, thereby supporting "vibe research." It adopts a human-on-the-loop paradigm, positioning AI as a research partner that co-evolves with human researchers and internalizes academic taste and scientific judgment. The system includes a built-in multi-agent team (6 sub-agents for planning, research, coding, debugging, analysis, and writing), self-evolving memory, automatic skill distillation, multiple model providers, and multi-channel access, and provides a desktop WebUI, CLI, and scheduled tasks, offering end-to-end support for research workflows.

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