Alternatives to Anuma

Compare Anuma alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Anuma in 2026. Compare features, ratings, user reviews, pricing, and more from Anuma competitors and alternatives in order to make an informed decision for your business.

  • 1
    OpenClaw
    OpenClaw is an open source autonomous personal AI assistant agent you run on your own computer, server, or VPS that goes beyond just generating text by actually performing real tasks you tell it to do in natural language through familiar chat platforms like WhatsApp, Telegram, Discord, Slack, and others. It connects to external large language models and services while prioritizing local-first execution and data control on your infrastructure so the agent can clear your inbox, send emails, manage your calendar, check you in for flights, interact with files, run scripts, and automate everyday workflows without needing predefined triggers or cloud-hosted assistants; it maintains persistent memory (remembering context across sessions) and can run continuously to proactively coordinate tasks and reminders. It supports integrations with messaging apps and community-built “skills,” letting users extend its capabilities and route different agents or tools through isolated workspaces.
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    oMLX

    oMLX

    oMLX

    oMLX is a macOS-native MLX server designed to make local AI faster and more practical on Apple Silicon. Built for the way coding agents actually work, it uses paged SSD KV caching to persist cache blocks to disk, allowing previously seen prefixes to be restored across requests and server restarts instead of being recomputed from scratch. This can reduce time to first token on long contexts from 30–90 seconds to under five seconds after the first turn. Continuous batching handles concurrent requests through mlx-lm’s BatchGenerator, improving generation throughput without forcing requests to wait behind a single job. oMLX can serve LLMs, vision-language models, embedding models, and rerankers simultaneously, using LRU eviction when memory runs low. It supports any MLX-format model from Hugging Face, including Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can reuse models already stored in the standard Hugging Face cache, LM Studio folders, or custom directories.
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    AI Fiesta

    AI Fiesta

    AI Fiesta

    AI Fiesta is a unified AI workspace that brings together the world's leading large language models under a single roof. With one subscription, users unlock access to ChatGPT, Google Gemini, Anthropic Claude, Perplexity AI, DeepSeek, Grok, Kimi, Qwen, Llama, Seedream, and 25+ more models. Features include Super Fiesta Mode (auto model selection), side-by-side model comparison, Consensus Feature (synthesized multi-model answers), AI Avatars, Deep Research, Image Studio, Document Generation, Promptbook, Projects, and a Community. At $12/month, AI Fiesta is the most cost-effective way to access the world's best AI with no API keys required.
  • 4
    Aymo AI

    Aymo AI

    Pimjo

    Aymo AI is an all-in-one AI platform that gives teams and individuals access to 45+ leading AI models in a single workspace. Users can access GPT-5.5, Claude, Gemini, DeepSeek, Grok, Perplexity, Qwen, Llama, Mistral, and other models without managing multiple subscriptions or switching between tools. The platform helps users choose the best AI model for each task through instant model switching and side-by-side response comparison. Aymo AI supports content creation, software development, research, document analysis, image understanding, and web-powered AI workflows. Key features include multi-model chat, AI model comparison, file uploads, document analysis, image analysis, web search, shared workspaces, team collaboration, and Bring Your Own Key (BYOK) support. Teams can organize projects, share conversations, collaborate in real time, and work from a centralized AI workspace.
    1.0 out of 5 stars 1 Rating for Aymo AI
    Starting Price: $4/month/user
  • 5
    Whizi

    Whizi

    Whizi

    Whizi is a multi-model AI chat workspace. It connects to more than 280 language models through a single account, including GPT, Claude, Gemini, Kimi, GLM, DeepSeek, Grok and Qwen. A prompt can be sent to one model or to several at once. When several are selected, the responses appear side by side so they can be compared for reasoning, tone and factual accuracy rather than taken on trust. The active model can also be changed partway through a conversation and the existing context carries across, so a thread can start on a cheaper model and move to a larger one only when the question requires it. Whizi runs in the browser and as native iOS and Android apps, with conversations synced across all three. Pricing is subscription based. Starter is $15.99 per month, Pro is $29.99 and Powerhouse is $49.99, and annual billing lowers the effective monthly rate on each tier.
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    Shiori

    Shiori

    Shiori

    Shiori is a multi-model AI chat platform designed to provide access to dozens of leading AI systems within a single unified interface, allowing users to switch seamlessly between models such as GPT, Claude, Gemini, Grok, and others during the same conversation. It combines conversational AI with a wide range of generation and productivity tools, enabling users to create text, images, videos, and speech outputs directly from one workspace. It supports over 45 AI models and integrate capabilities like document analysis, file uploads, web search, and code execution, allowing users to analyze PDFs, research topics, and generate content without switching tools. It emphasizes flexibility by letting users choose the most suitable model for each task, whether for coding, writing, or data analysis, while maintaining persistent memory and real-time synchronization across devices.
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    Goldfish

    Goldfish

    Goldfish

    Goldfish is a little AI memory that lives on your Mac, giving users one click to answer every message in their tone, with full context, anywhere they type. It works like a tiny companion that remembers what happens across apps, including threads, docs, tabs, and the context of everyday work, so users stop re-explaining the same things every time they need AI help. Press anywhere there is a text field, and Goldfish reads the context already in front of you to help reply, write, summarize, or continue. Users can also chat with full context from the aquarium in the notch, connect it to Claude through local MCP, and use it to identify repetitive workflows over time. Unlike a generic writing assistant, Goldfish already knows what the user is working on, so it does not just write in their tone; it writes with the context they would otherwise have to explain manually. Its memory captures work context as it happens and turns it into searchable local memory.
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    CMEM Cloud

    CMEM Cloud

    cmem.ai

    CMEM Cloud is the cloud sync layer for claude-mem, built to link AI agent memory everywhere through one private MCP link. claude-mem is the open source engine that takes notes while an agent works, and CMEM Cloud mirrors that local memory so agents can recall it across every session, machine, editor, and MCP-compatible client. Instead of making users re-explain context, paste old notes, or restart from zero, the system captures decisions, bug fixes, dead ends, environment notes, architecture choices, and other structured observations as the agent works. Those observations are stored in a temporal database, searched by meaning through vector recall, and made available through a private MCP endpoint that any compatible agent can read and write through. It starts with installing the local engine, letting a second model write structured notes out of band, syncing the local database to CMEM Cloud, and then recalling that memory anywhere.
  • 9
    Vity

    Vity

    Maximem

    Vity is a personal AI memory assistant for people who use several AI platforms. Its Chrome extension and cloud dashboard capture and organize conversation context, preferences, work history, and tasks, then make that information available across supported AI chats so users can continue work without re-entering the same background. Vity supports ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Manus, Genspark, Blackbox, Kimi, and Grok, along with Gmail and Google Calendar. Users can review, manage, export, or delete saved memory, and the extension captures context with user consent. Vity is designed for AI enthusiasts and power users, including professionals who use multiple assistants for research, writing, planning, and technical work. It is free to get started, with no credit card required.
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    Moxt

    Moxt

    Moxt

    Moxt is an AI-native workspace designed to help teams build and collaborate with autonomous AI agents that can research, write, analyze, and execute tasks alongside humans in a shared environment. It acts as an “operating system for agents,” bringing together files, memory, tools, and skills so AI teammates can perform real work without constant prompting or re-explaining context. It introduces persistent AI assistants (called “momo”) for each user, as well as shared AI teammates that collaborate across the organization, learn from interactions, and improve over time through a shared memory layer. These agents can autonomously generate reports, build dashboards, draft documents, analyze data, and prepare workflows, often completing tasks proactively or on a schedule without direct input. Moxt integrates with tools like Slack, allowing users to interact with AI agents directly in existing workflows, while outputs are saved as structured files in a centralized workspace.
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    ClinePass
    ClinePass is a subscription for open weight models in Cline, built to give developers generous quotas and reliable access to capable coding models without managing separate provider setup or API keys. It is designed for Cline IDE and CLI. The agent harness is built for open-weight model workflows, so developers can go from signup to coding in minutes; create an account, install Cline, select the ClinePass provider, and start coding. ClinePass includes open weight models from Z.ai, Moonshot AI, DeepSeek, MiniMax, MiMo, and Qwen, including GLM 5.2 for deep reasoning, Kimi K2.7 Code for coding tasks, Kimi K2.6 for agentic workflows, DeepSeek V4 Pro for large changes, DeepSeek V4 Flash for fast iteration, MiniMax M3 for general coding, MiMo V2.5 Pro for pro workloads, MiMo V2.5 for efficient edits, Qwen3.7-Max for heavy workloads, and Qwen3.7-Plus for balanced coding.
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    Okara

    Okara

    Okara

    Okara is a privacy-first AI workspace and private chat platform that lets professionals interact with 20+ powerful open source AI language and image models in one unified environment without losing context as you switch between models, conduct research, generate content, or analyze documents. All conversations, uploads (PDF, DOCX, spreadsheets, images), and workspace memory are encrypted at rest, processed on privately hosted open-source models, and never used for AI training or shared with third parties, giving users full data control with client-side key generation and true deletion. Okara combines secure, encrypted AI chat with integrated real-time web, Reddit, X/Twitter, and YouTube search tools, unified memory across models, and image generation, letting users weave live information and visuals into workflows while protecting sensitive or confidential data. It also supports shared team workspaces, enabling collaborative AI threads and shared context for groups like startups.
    Starting Price: $20 per month
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    Maximem

    Maximem

    Maximem

    Maximem is an AI context management and memory platform designed to give generative AI systems a persistent, secure memory layer that retains and organizes information across conversations, applications, and models. Large language models typically operate with limited session memory, meaning they lose context between interactions and require users to repeatedly provide the same background information. Maximem addresses this limitation by creating a private memory vault that stores relevant context, preferences, historical data, and workflow information so AI systems can reference it in future interactions. It operates between AI models and applications, ensuring that conversations, knowledge, and user data are consistently available across different tools and sessions. This persistent memory allows AI assistants to deliver responses that are more personalized, accurate, and context-aware because the system can retrieve previously stored information.
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    Cuey

    Cuey

    Cuey

    Cuey helps serious AI users de-risk AI answers without leaving ChatGPT, Claude, Gemini, and other AI tools. It lets users compare answers across multiple models in a single workflow, keep context, and stay inside the AI tools they already use instead of switching tabs. Cuey is designed for people who want to cross-check advice, research, and judgment-heavy tasks before they act, reducing hallucination risk by aggregating multiple AI answers and making model comparison easier. It supports a broad set of AI models across different capability tiers, from lightweight GPT, Claude, Gemini, and Grok variants for everyday prompts and quick drafting to advanced and ultra models for deeper reasoning, long-form quality, complex analysis, and critical writing tasks. Cuey also helps keep memory and prompt workflows portable across AI services, making it easier to reuse context and maintain continuity between tools.
    Starting Price: $9.99 per month
  • 15
    octobrain
    octobrain is an open-source persistent memory server for AI assistants, delivered as a Rust command-line application and Model Context Protocol (MCP) server. It stores notes, decisions, project context, and indexed documents so compatible assistants can retrieve information across conversations. Features include semantic and hybrid BM25/vector search, linked memories, project-scoped stores, goal consolidation, and a knowledge base that indexes URLs, PDFs, and common document formats. Teams can distribute shared knowledge through Git-backed knowledge boxes. octobrain runs with local embedding models or optional cloud embedding providers, and exposes tools for saving, searching, and deleting memories. It is designed for developers and teams extending MCP-compatible AI assistants with persistent, searchable context; installation and operation are managed on the user's own machine or environment.
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    Aerogram

    Aerogram

    Aerogram

    Aerogram is an all-in-one AI workspace that combines over 30 artificial intelligence models for text, image, and video processing within a single no‑code platform. It features visual workflow boards where users can map ideas, orchestrate prompts, and automate cross‑model processes, all without writing code. By unifying multiple AI capabilities on one interface, Aerogram streamlines creative and productivity workflows, eliminating the need to juggle subscriptions or billing across separate tools. Its collaboration features support real‑time teamwork on visual thinking boards and multi‑model automation sequences. Users can effortlessly construct, share, and execute complex workflows, like generating content, editing media, or building mini‑apps, through drag‑and‑drop blocks and prompt orchestration. This tool empowers content creators, marketers, educators, and business professionals to leverage advanced AI functions cohesively.
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    NativeMind

    NativeMind

    NativeMind

    NativeMind is an open source, on-device AI assistant that runs entirely in your browser via Ollama integration, ensuring absolute privacy by never sending data to the cloud. Everything, from model inference to prompt processing, occurs locally, so there’s no syncing, logging, or data leakage. Users can load and switch between powerful open models such as DeepSeek, Qwen, Llama, Gemma, and Mistral instantly, without additional setup, and leverage native browser features for streamlined workflows. NativeMind offers clean, concise webpage summarization; persistent, context-aware chat across multiple tabs; local web search that retrieves and answers queries directly within the page; and immersive, format-preserving translation of entire pages. Built for speed and security, the extension is fully auditable and community-backed, delivering enterprise-grade performance for real-world use cases without vendor lock-in or hidden telemetry.
  • 18
    MythOS

    MythOS

    MythOS

    MythOS is a shared memory system between you and every AI you use, built to help people stop re-explaining themselves across models, agents, and channels. It is designed for people who write to think, giving them a modular thinking system for structured notes, memos, contextual maps, and AI-powered workflows. Users can capture what they read, connect what they think, and publish what matters while keeping their library one click away from every AI. MythOS works as a personal knowledge operating system where memory, notes, ideas, resources, and context can be organized into structured documents that stay useful over time. Its approach treats knowledge as a process, not a one-time activity, so living documents can remain in progress, evolve, and connect with related people, projects, topics, and ideas. It supports contextual maps, public memos, private knowledge, AI-ready memory, exportable data, and workflows that help users build a durable layer of context.
  • 19
    Memdex

    Memdex

    Memdex

    Memdex turns every AI conversation into reusable local memory by auto-saving chats and bringing the right context back when users need it across ChatGPT, Claude, Gemini, and more. It solves the problem of scattered AI conversations that are hard to find, stuck inside separate tools, and difficult to reuse when starting a new chat. Users can click the Memdex button to save a conversation or turn on auto-save so every AI conversation is captured automatically across supported tools. Memdex then detects relevant context as the user types in any AI tool, highlighting matching words from saved conversations, like spell-check, but for context. When a match appears, users can attach the full previous conversation with one click, allowing the AI to pick up where the earlier discussion left off without re-explaining background, preferences, or project details.
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    PyGPT

    PyGPT

    PyGPT

    PyGPT is an open source, personal desktop AI assistant for Linux, Windows, and Mac, written in Python. It works similarly to ChatGPT, but locally on a desktop computer, with chat, vision, agents, image and video generation, tools, voice control, and more. PyGPT supports multiple models, including OpenAI GPT-5, GPT-4, o1, o3, o4, Google Gemini, Anthropic Claude, xAI Grok, Perplexity Sonar, DeepSeek, Mistral AI, and models accessible through Ollama and LlamaIndex. It offers 12 modes of operation, including chat, chat with files, realtime + audio, research, completion, image and video generation, vision, assistants, experts, computer use, agents, and autonomous mode. Users can chat with their own files and data using integrated LlamaIndex support. PyGPT includes built-in vector database support, automated files and data embedding, full conversation context, short- and long-term memory, internet access through Google, Microsoft Bing, and DuckDuckGo, plus speech synthesis and recognition.
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    Membase

    Membase

    Membase

    Membase is a unified AI memory layer platform designed to help AI agents and tools share and persist context so they “understand you” across sessions without forced repetition or isolated memory silos, enabling consistent conversational experiences and shared knowledge across AI assistants. It provides a secure, centralized memory layer that captures, stores, and syncs context, conversation history, and relevant knowledge across multiple AI agents and integrations with tools such as ChatGPT, Claude, Cursor, and others, so all connected agents can access a common context and avoid repeating user intents. Designed as a foundational memory service, it aims to maintain consistent context across your AI ecosystem, reducing friction and improving continuity in multi-tool workflows by keeping long-term context available and shared rather than locked within individual models or sessions, and letting users focus on outcomes instead of re-entering context for each agent request.
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    Void Editor

    Void Editor

    Void Editor

    Void is an open source AI code editor and Cursor alternative built as a fork of VS Code, enabling developers to write code with advanced AI assistance while retaining full control over their data. It supports seamless integration with any large language model, such as DeepSeek, Llama, Qwen, Gemini, Claude, and Grok, connecting directly without routing through a private backend. Core features include tab‑triggered autocomplete, inline quick edit, and a versatile AI chat interface offering normal chat, a restricted gather mode for read/search-only tasks, and an agent mode that automates file and folder operations, terminal commands, and MCP tool access. Void delivers high‑performance operations, including fast apply on files with thousands of lines, alongside checkpoint management for model updates, native tool execution, and lint error detection. Developers can transfer all themes, keybindings, and settings from VS Code in one click and host models locally or via the cloud.
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    MemMachine

    MemMachine

    MemVerge

    An open-source memory layer for advanced AI agents. It enables AI-powered applications to learn, store, and recall data and preferences from past sessions to enrich future interactions. MemMachine’s memory layer persists across multiple sessions, agents, and large language models, building a sophisticated, evolving user profile. It transforms AI chatbots into personalized, context-aware AI assistants designed to understand and respond with better precision and depth.
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    AtomCode

    AtomCode

    AtomGit

    AtomCode is an open source AI coding agent that lives in the terminal and autonomously reads files, edits code, runs commands, searches the web, executes tests, and self-verifies until a task is complete. It is designed as a multi-model alternative to tools such as Claude Code and Cursor Agent, supporting Claude, OpenAI, DeepSeek, GLM, Qwen, Ollama, SiliconFlow, and any OpenAI-compatible API. Its built-in code graph tools provide symbol indexing, reference lookup, caller and callee tracing, dependency analysis, and blast-radius analysis to help the agent understand large codebases more deeply than basic text search. Developers can attach screenshots and images, while vision preprocessing can extract useful context when the selected primary model does not support images directly. AtomCode integrates natively with AtomGit for OAuth login, repository management, issues, and pull requests, and supports MCP, reusable Skills, plugins, custom slash commands, hooks, and workflows.
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    myNeutron

    myNeutron

    Vanar Chain

    Tired of repeating to your AI? myNeutron's AI Memory captures context from Chrome, emails, and Drive, organizes it, and syncs across your AI tools so you never re-explain. Join, capture, recall, and save time. Most AI tools forget everything the moment you close the window — wasting time, killing productivity, and forcing you to start over. MyNeutron fixes AI amnesia by giving your chatbots and AI assistants a shared memory across Chrome and all your AI platforms. Store prompts, recall conversations, keep context across sessions, and build an AI that actually knows you. One memory. Zero repetition. Maximum productivity.
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    Tobs

    Tobs

    BotHarness

    Tobs is an open-source AI agent plugin for DeepSeek Harness. It lets users create persistent PersonaBots with distinct roles and conversation histories. Bots keep inspectable, file-based memory with Git version history, work in direct and group chats, delegate background assignments, run scheduled tasks, and connect to Slack, Discord, Lark/Feishu, QQ, or personal WeChat. Users configure a model provider and credentials in DeepSeek Harness; Tobs runs on a Windows, macOS, or Linux computer they manage. Beta iOS and Android companion apps provide remote chat, notifications, and approval controls. Optional browser and desktop-control tools can be permission-gated. Use cases include research, writing, coding, task handoffs, and reminders. Tobs is for people who want configurable agents that retain context across conversations and work with authorized files and messaging channels, rather than a fully managed hosted agent service.
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    AgentSea

    AgentSea

    AgentSea.com

    AgentSea is a private, faster & safer chat interface to access the latest AI models. AgentSea provides you access to all latest models in Standard mode (GPT-5, Gemini 2.5 Pro, Grok 4, Claude 4) and access to more secure and self-hosted open-source models in Secure Mode (GPT OSS, DeepSeek R1, Claude 4.1). On AgentSea.com, you can seamlessly switch between AI Models and 100s of curated agents in a single chat session without losing context. The AI chat interface also supports tools like AI image generation web-search, X search, Reddit search, and YouTube search.
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    Run BiOS

    Run BiOS

    UltraSafe AI Inc.

    Run BiOS is serverless, OpenAI-compatible inference. Point the OpenAI SDK at the Run BiOS endpoint and keep your code. Six model families — Claude, DeepSeek, GLM, Kimi, MiniMax and Qwen — plus bios-adaptive, which routes each request for quality, speed and budget against a published price ceiling. Prompts and responses live in memory and are discarded when the request completes: no request logs, no content store, no archive. Fine-tuning and dedicated GPU endpoints run from the same account if you later want weights you own, billed per second of GPU time. Pricing is usage-based from a pre-paid balance, published per million tokens, and an endpoint pauses rather than running up a debt if the balance reaches zero.
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    Supernovas AI LLM

    Supernovas AI LLM

    Supernovas AI LLM

    Supernovas AI is a unified, team‑focused AI workspace that provides seamless access to all leading LLMs—including GPT‑4.1/4.5 Turbo, Claude Haiku/Sonnet/Opus, Gemini 2.5 Pro/Pro, Azure OpenAI, AWS Bedrock, Mistral, Meta LLaMA, Deepseek, Qwen, and more—through a single, secure interface. It offers essential chat tools like model access, prompt templates, bookmarks, static artifacts, and integrated web search, along with advanced features such as Model Context Protocol (MCP), a talk-to-your data knowledge base, built-in image generation and editing, memory‑enabled agents, and code execution. Supernovas AI simplifies AI tool management by eliminating multiple subscriptions and API keys, enabling fast onboarding and enterprise-grade privacy and collaboration—all from one streamlined platform.
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    Paperclip.inc

    Paperclip.inc

    Paperclip.inc

    Paperclip.inc is a control plane for hiring and managing AI agents that can support engineering, growth, operations, research, and other company workflows. It lets users run multiple AI agents from a single inbox instead of juggling separate model tabs and scattered conversations. The platform supports agents such as Claude, Codex, Cursor, Gemini, DeepSeek, Qwen, GLM, Kimi, MiniMax, and others. Paperclip.inc includes approvals, permissions, budgets, audit logs, goals, routines, and scheduled heartbeats to help companies manage AI work with structure and accountability. Teams can install pre-built AI companies with defined org charts, agent configurations, and skill sets for areas like engineering, agencies, research labs, and digital studios. With EU-hosted managed infrastructure, open-source foundations, and per-company pricing, Paperclip.inc helps organizations scale AI work while maintaining control over cost, direction, and governance.
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    OrcaRouter

    OrcaRouter

    OrcaRouter

    OrcaRouter is an OpenAI-compatible AI model router that sends each prompt to the right model across OpenAI, Anthropic, Gemini, DeepSeek, Qwen, Kimi, and 200+ frontier and open source models. It is built to preserve frontier answer quality while reducing AI inference spend by grading every prompt and routing hard reasoning to frontier models and routine work to lower-cost open source models. The routing is quality-graded, never a blind, cheap-model swap, and each request shows the difficulty grade, selected model, provider, and cost so routes are visible, auditable, and reproducible. Developers can switch by changing the API base URL, while existing SDKs, model names, and streaming behavior continue to work as before. OrcaRouter supports automatic failover, so if a provider goes down mid-stream, traffic can switch transparently, and the application avoids user-facing errors. It also includes API key management with spend caps, model allowlists, rate limits, budget enforcement, and more.
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    YeeroAI

    YeeroAI

    YeeroAI

    YeeroAI is an AI knowledge platform where chats become knowledge and thinking branches. Every conversation becomes lasting knowledge, helping users explore ideas freely, compare GPT, Claude, Gemini, and more, and build an AI memory that grows smarter over time. Each message acts as a building block of a personal knowledge base, while each branch becomes an extension of the user’s thinking. YeeroAI automatically extracts key knowledge from chats, builds vector indexes, and injects the most relevant context into future conversations, so the knowledge base becomes more useful with every interaction. Its Git-style branch management lets users fork, merge, and rewind lines of thought without losing their way, while multi-model parallel chat makes it possible to ask several top AI models simultaneously and compare answers side by side. It also supports AI app full lifecycle management, allowing users to describe an idea in plain language, generate an HTML app, and refine it through AI.
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    Smaug Flash

    Smaug Flash

    Abacus.AI

    Smaug Flash is a family of three open-weight models fine-tuned by Abacus.AI for production agentic workloads, with each model positioned at a different point on the capability–efficiency curve. The line is trained using human-curated real-world agentic traces combined with synthetic data grounded in difficult examples, producing gains in agentic coding, real-world tool use, automation, long-context reasoning, and instruction following. Smaug Flash, based on DeepSeek V4 Flash 0731, is the workhorse model for enterprise self-improving agents where speed, efficiency, and reliable agent performance need to coexist. It is specifically tuned to reduce the spins and confusion that can appear during long-context tool use while retaining the base model’s speed advantages. Smaug Mini, based on Qwen3.8 27B, targets multimodal use cases and smaller reasoning tasks in a more compact package, with stronger real-world agentic ability for one-off workflows.
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    Velokey

    Velokey

    Velokey

    Velokey is a unified AI model API platform that gives developers access to leading text, image, and video models through one interface. The platform supports LLM APIs, image generation APIs, and video generation APIs, allowing teams to switch models without rebuilding integrations. Developers can use an OpenAI-compatible SDK by changing the base URL and API key, then selecting the model they want to call. Velokey includes models from families such as GPT, Claude, Gemini, DeepSeek, Grok, Kimi, Qwen, GLM, Seedance, Kling, Veo, Wan, Nano Banana, GPT Image, and more. The platform also provides smart model routing, automatic failover, usage tracking, latency visibility, spend monitoring, and transparent pricing across tokens, images, and video seconds. Built for developers and AI teams, Velokey helps simplify model access, reduce integration overhead, and manage multiple AI providers from one API and one bill.
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    Macaron

    Macaron

    Macaron

    Macaron is a deeply personal AI agent designed to enhance your life rather than just boost productivity. Through tailored onboarding and a Deep Memory system, it develops a nuanced understanding of your preferences, experiences, and emotions, growing with you like a trusted friend. Simply ask, and Macaron crafts mini-apps that address real needs, whether it's a course helper, cooking journal, or gentle check-in, bypassing tedious demos with real-life solutions. Leveraging an in-house reinforcement learning platform built to scale with trillion-parameter models efficiently, Macaron focuses on three enhanced agentic capabilities to deliver emotionally intelligent, context-aware interactions that truly resonate.
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    Ovrin
    Ovrin is a hosted compute platform for developers building AI agents and software that needs to run code in controlled environments. Through a REST API, Python and TypeScript SDKs, or an MCP server, users can create disposable Linux sandboxes, run shell commands and stateful code, manage files and scoped API keys, and retrieve execution output. Preconfigured environments include Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness; browser workflows can use Chrome and Playwright. The platform also offers persistent memory, sandbox lifecycle controls, usage metering, and concurrency limits. Typical uses include coding-agent execution, browser automation, and running model-generated code. Plans include a free tier and paid tiers with additional concurrency and usage-based compute charges.
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    Macyou

    Macyou

    Macyou LLC

    Macyou rents dedicated Apple Silicon Macs for AI workloads. Users configure a Mac (M4 Mac mini to Mac Studio M3 Ultra with 256 GB unified memory), pick a pre-configured stack — local LLMs via Ollama (Llama, Qwen, Mistral, DeepSeek), agent frameworks (CrewAI, LangGraph), or ML dev environments (MLX, Jupyter) — and get a running deployment in about 5 minutes. Every deployment exposes an OpenAI-compatible API, so existing OpenAI SDK code works by changing base_url; access also includes SSH with root and a browser-based remote desktop. Each customer gets a dedicated physical machine with full-disk encryption and a disk wipe between tenants, hosted in a GDPR-friendly jurisdiction. Pricing is a fixed monthly fee per machine with no per-token charges; Thunderbolt 5 clustering pools unified memory across nodes for larger models. Published, measured inference benchmarks (raw JSON, CC BY 4.0) show real tokens per second per chip.
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    GHOSTMETAL

    GHOSTMETAL

    GHOSTMETAL

    GHOSTMETAL provides browser-based AI chat and an API for applications that use language and image models. It offers GLM-5.3 with a 256K context window, GLM-5.3-long with a 1M context window, and Qwen-3.8 with built-in web search, along with image generation and editing. Its OpenAI-compatible REST API supports streaming and works with clients such as Cursor, Cline, Continue, SillyTavern, Agnai, LangChain, and OpenAI SDKs. The service is intended for individuals and developers using AI for software development, writing, and creative workflows. Customers can use prepaid credits or monthly plans, and manage separate API tokens for individual applications. GHOSTMETAL runs the service on hardware it owns and operates; prompts and responses are processed in memory, while chat history and images remain in the user's browser.
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    Cline

    Cline

    Cline AI Coding Agent

    Cline is an open-source AI coding agent that helps developers understand, modify, and automate software development tasks directly from their IDE, terminal, or embedded applications. The platform supports coordinated code editing, bash command execution, planning, and autonomous workflows while giving developers control over every step of the process. Cline works with major AI models including Claude, GPT, Gemini, Mistral, DeepSeek, Ollama, and any OpenAI-compatible API without locking users into a single provider. Developers can use Cline to refactor large codebases, automate repetitive engineering tasks, integrate with CI/CD pipelines, and extend functionality through plugins and the Model Context Protocol (MCP). The platform also supports custom coding rules, reusable skills, multi-agent collaboration, and scheduled automations for complex software projects.
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    Qwen3.8-Flash-Next
    Qwen3.8-Flash-Next is an open-weight multimodal Mixture-of-Experts model and an early preview of the architecture planned for Qwen4. It systematically upgrades attention, residual connections, embeddings, and optimization to improve capability, computational efficiency, model capacity, and training stability. Its hybrid architecture combines Gated DeltaNet, which efficiently compresses historical information, with Qwen Sparse Attention, which selects important context at the micro-block level to reduce attention and indexing costs on long sequences. Gated Residual widens the residual stream into four branches and dynamically controls information flow across layers, while N-gram Embedding adds large-scale local-pattern memory with very little extra per-token computation and can be offloaded to host memory. The model uses a 125B-parameter main network plus 51B N-gram embedding parameters, while activating only 6B parameters per token.
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    MindStaq

    MindStaq

    MindStaq

    MindStaq is an AI-native work management platform that helps organizations manage all work, not just projects — across roles from a single source of truth. Most teams don't have a productivity problem; they have a tool-sprawl problem. Conversations live in one app, tasks in another, documents in a third, and AI in a fourth fragmenting context across disconnected silos. MindStaq collapses that sprawl into one workspace where your work and your AI operate on the same data. Key capabilities: * Model-agnostic AI built into the foundation — route tasks to GPT, Gemini, Claude, and others without vendor lock-in * Quick Chat, Quick Note, and a unified My Library for instant capture and retrieval * Private Staqs for personal work and shared Projects for team efforts * Context-aware AI scoped to each project — no re-explaining, no copy-paste * Built-in token tracking for cost visibility and governance One workspace. Many models. Your work and your AI, finally together.
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    Odysseus

    Odysseus

    PewDiePie

    Odysseus is an open-source, self-hosted AI workspace that allows users to interact with language models directly on their own hardware. The platform combines AI chat, autonomous agents, research tools, model management, email assistance, and persistent memory into a single local-first environment. Users can connect their preferred language models and endpoints while maintaining complete control over their data and infrastructure. Built-in capabilities include tool integration, model comparison, deep research workflows, and support for MCP servers. Odysseus is designed with privacy in mind, operating without telemetry and keeping sensitive information within the user’s environment. By providing a unified workspace for AI-powered tasks, Odysseus helps users leverage advanced AI functionality without relying on third-party cloud platforms.
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    ClaimHit

    ClaimHit

    ClaimHit

    ClaimHit is an AI-powered agentic platform for patent infringement intelligence, designed for patent owners, IP attorneys, and corporate IP teams to perform initial infringement screenings in about 60 seconds. Its key innovation is the multi-model consensus engine. Instead of depending on a single AI model, ClaimHit runs nine advanced AI models concurrently - Claude Sonnet, Haiku (Anthropic), GPT-4o, GPT-4o Mini (OpenAI), Gemini 2.5 Flash Lite (Google), DeepSeek, Mistral, and Perplexity Sonar - each working independently without knowing the others' outputs. The results are then combined using a unique four-factor scoring system. The platform is versatile across all domains, supports team collaboration, offers a purely consumption-based pricing model, and provides MCP server integration. You can order either AI Charts, which takes about 90 seconds to generate, or request manually vetted charts right from the platform.
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    LTM-2-mini

    LTM-2-mini

    Magic AI

    LTM-2-mini is a 100M token context model: LTM-2-mini. 100M tokens equals ~10 million lines of code or ~750 novels. For each decoded token, LTM-2-mini’s sequence-dimension algorithm is roughly 1000x cheaper than the attention mechanism in Llama 3.1 405B1 for a 100M token context window. The contrast in memory requirements is even larger – running Llama 3.1 405B with a 100M token context requires 638 H100s per user just to store a single 100M token KV cache.2 In contrast, LTM requires a small fraction of a single H100’s HBM per user for the same context.
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    Lorka

    Lorka

    Lorka

    Lorka AI is an all-in-one AI platform that aggregates multiple top generative models and tools into a single workspace to help users write, research, analyze, create, and solve problems more efficiently. Instead of switching between separate AI apps or subscriptions, Lorka gives access to major models like ChatGPT-5.2, Claude 4.5, Gemini 3, Grok 4.1, DeepSeek, Qwen, and others in one place so you can choose the best model for each task, from brainstorming and drafting content to data analysis and problem solving. It includes features such as AI chat across models, document summarization and PDF analysis, web search summaries, AI-powered image editing, translation, humanizing text, voice mode, and more, letting users switch seamlessly between capabilities for complex workflows. It is designed for a wide range of tasks, such as writing emails, studying with clear explanations, creating visuals, summarizing reports, debugging code, and crafting investor materials.
    Starting Price: $19.99 per month
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    Modellix

    Modellix

    Modellix

    Modellix is a unified AI model API platform that aggregates the world's leading generative models — including Google Veo 3.1, GPT Image, Grok Imagine, Seedream 5.0, Seedance 2.0, Kling V3, Wan 2.7, Hailuo 2.3, Vidu Q3, PixVerse V6, and more — into a single API key and billing dashboard. Developers integrate once and access all models without multi-vendor management. Creators test models directly in browser Playground, no code required. The same key also opens the Modellix LLM gateway, with OpenAI- and Anthropic-compatible access to language models from OpenAI, Anthropic, Google, DeepSeek, Qwen, Moonshot, xAI, and ZAI. Backed by Aurora Mobile (NASDAQ: JG) with SOC 2 Type 2, ISO 27001, and ISO 27701 certifications and 15+ years of developer infrastructure experience.
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    Chatronix

    Chatronix

    Chatronix

    Chatronix.ai is an all-in-one AI assistant platform that consolidates many leading AI models (including ChatGPT, Claude, Gemini, Grok, Perplexity Sonar, DeepSeek, etc.) under one interface, along with a library of 550+ categorized, ready-to-use prompts for domains like social media marketing, business, copywriting, education, and marketing. Users can pick models, select or create custom prompts, and generate content (copy, strategy ideas, lesson plans, etc.) without having to switch between different tools. It includes features like “Turbo Mode” for running the same prompt across multiple models simultaneously, a “One Perfect Answer” that merges multiple model outputs into a refined single draft, plus prompt-saving and session history tools to organize workflows. There are free trial queries, image-generation capabilities, and a desktop app for more distraction-free use.
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    Qwen Code
    Qwen3‑Coder is an agentic code model available in multiple sizes, led by the 480B‑parameter Mixture‑of‑Experts variant (35B active) that natively supports 256K‑token contexts (extendable to 1M) and achieves state‑of‑the‑art results on Agentic Coding, Browser‑Use, and Tool‑Use tasks comparable to Claude Sonnet 4. Pre‑training on 7.5T tokens (70 % code) and synthetic data cleaned via Qwen2.5‑Coder optimized both coding proficiency and general abilities, while post‑training employs large‑scale, execution‑driven reinforcement learning and long‑horizon RL across 20,000 parallel environments to excel on multi‑turn software‑engineering benchmarks like SWE‑Bench Verified without test‑time scaling. Alongside the model, the open source Qwen Code CLI (forked from Gemini Code) unleashes Qwen3‑Coder in agentic workflows with customized prompts, function calling protocols, and seamless integration with Node.js, OpenAI SDKs, and more.
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    Qwen3-Coder
    Qwen3‑Coder is an agentic code model available in multiple sizes, led by the 480B‑parameter Mixture‑of‑Experts variant (35B active) that natively supports 256K‑token contexts (extendable to 1M) and achieves state‑of‑the‑art results comparable to Claude Sonnet 4. Pre‑training on 7.5T tokens (70 % code) and synthetic data cleaned via Qwen2.5‑Coder optimized both coding proficiency and general abilities, while post‑training employs large‑scale, execution‑driven reinforcement learning, scaling test‑case generation for diverse coding challenges, and long‑horizon RL across 20,000 parallel environments to excel on multi‑turn software‑engineering benchmarks like SWE‑Bench Verified without test‑time scaling. Alongside the model, the open source Qwen Code CLI (forked from Gemini Code) unleashes Qwen3‑Coder in agentic workflows with customized prompts, function calling protocols, and seamless integration with Node.js, OpenAI SDKs, and environment variables.
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    Hyperspell

    Hyperspell

    Hyperspell

    Hyperspell is an end-to-end memory and context layer for AI agents that lets you build data-powered, context-aware applications without managing the underlying pipeline. It ingests data continuously from user-connected sources (e.g., drive, docs, chat, calendar), builds a bespoke memory graph, and maintains context so future queries are informed by past interactions. Hyperspell supports persistent memory, context engineering, and grounded generation, producing structured or LLM-ready summaries from the memory graph. It integrates with your choice of LLM while enforcing security standards and keeping data private and auditable. With one-line integration and pre-built components for authentication and data access, Hyperspell abstracts away the work of indexing, chunking, schema extraction, and memory updates. Over time, it “learns” from interactions; relevant answers reinforce context and improve future performance.