Alternatives to Mindra
Compare Mindra alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Mindra in 2026. Compare features, ratings, user reviews, pricing, and more from Mindra competitors and alternatives in order to make an informed decision for your business.
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1
Assembled
Assembled
Assembled is the only platform that unifies AI agents and intelligent workforce management to power fast and flexible support operations. Built for scale, we help teams automate over 50% of customer interactions, forecast with 90%+ accuracy, and optimize staffing across in-house and BPO teams. Orchestrate every chat, email, or call, balancing workloads between human and AI agents in real time — without sacrificing quality or control. Trusted by Stripe, Canva, and Robinhood, Assembled transforms support from a cost center into a strategic advantage. Our Workforce and Vendor Management tools connect forecasting, scheduling, and performance for smarter staffing decisions. AI Agents automate conversations across channels with your workflows and brand voice. AI Copilot empowers agents with real-time guidance, suggested replies, and one-click actions for faster, higher-quality resolutions. -
2
Devin Desktop
Cognition
Devin Desktop (formerly Windsurf) is an AI-powered development environment that combines a full-featured IDE with advanced coding agents in a unified workspace. Formerly known as Windsurf, the platform enables developers to manage local and cloud-based AI agents, delegate tasks, review code, and ship software without leaving their editor. Developers can use multiple coding agents simultaneously to research, write, test, debug, and improve code while maintaining full visibility into every change. Devin Desktop includes features such as agent orchestration, shared workspaces, intelligent code completion, contextual code search, and integrated review tools. The platform supports a wide range of models, extensions, language servers, and MCP integrations, allowing teams to work with their preferred tools and workflows. Devin Desktop helps engineering teams accelerate software development, improve productivity, and manage AI-assisted coding at scale.Starting Price: Free -
3
Meta Model API
Meta
Meta Model API is a new developer API for building with Muse Spark 1.1, Meta’s multimodal reasoning model built for agentic tasks, coding, tool use, computer use, and multimodal understanding. Now in public preview, it gives developers a way to access Muse Spark 1.1 through an OpenAI-compatible package, making it easier to point existing clients at the API, keep the same code structure, and set the model to muse-spark-1.1. Muse Spark 1.1 is designed for personal agentic tasks that require planning and orchestration across external apps and services, with the ability to generalize to new native tools, MCP servers, and custom skills. As a main agent, it can gather context, make a plan, and delegate execution across parallel subagents; as a subagent, it follows its role, understands available tools, and knows when to escalate back. The model can actively manage a 1 million-token context window, remember actions, retrieve information from much earlier work, and compact context.Starting Price: $1.25 per 1M tokens -
4
Starnus
Starnus
Starnus is an AI-powered business automation platform that functions like a virtual employee, enabling teams to delegate complex workflows through simple natural-language instructions. Instead of producing one-off outputs, the system converts a defined objective into a structured plan and executes it autonomously across connected tools while continuously monitoring progress and iterating until the goal is achieved. It coordinates multiple specialized AI agents that collaborate to handle tasks such as outbound sales, lead generation, inbox management, CRM updates, research, reporting, and operational workflows. Users describe the job in plain language, and Starnus clarifies requirements, selects the appropriate agents, and manages execution end-to-end, reducing the need for manual orchestration. It is designed to operate for extended periods, handling edge cases, retrying failed steps, and improving workflows over time to deliver measurable outcomes.Starting Price: €50 per month -
5
Maestri
Maestri
Maestri is a macOS-native productivity and development workspace designed to orchestrate multiple AI coding agents, terminals, notes, and visual thinking tools within a single infinite canvas, allowing developers to manage complex workflows without losing context. Instead of relying on traditional terminal tabs and fragmented tools, it provides a spatial interface where users can place, connect, and monitor multiple agents simultaneously, each running tasks such as coding, testing, or debugging in parallel. It enables agents to communicate directly with each other, delegating tasks, sharing outputs, and collaborating autonomously, while users maintain full visibility and control over the entire process. It supports sketching and diagramming directly alongside active agents, allowing developers to map architectures, flows, and ideas in real time without switching tools.Starting Price: $18 one-time payment -
6
Fluq
Fluq
Fluq is an AI agent observability and orchestration platform designed to give teams full visibility and control over how their AI agents operate in real time. It acts as a centralized “single pane of glass” where every agent action, LLM calls, tool usage, file operations, token consumption, and associated costs are tracked and visualized through detailed waterfall traces. By routing all agent requests through a lightweight proxy, Fluq requires minimal setup and works with any LLM provider or agent framework, allowing organizations to integrate it into existing systems without modifying code. It enables teams to inspect each decision an agent makes, drill into execution steps, and understand exactly how outcomes are generated, improving transparency and debuggability. It also includes governance features such as policy enforcement, spend limits, approval gates, and access controls, helping prevent issues like runaway costs, misuse of tools, or inaccurate outputs.Starting Price: $29 per month -
7
Claude Managed Agents
Anthropic
Claude Managed Agents is a pre-built, configurable agent system from Anthropic designed to run long-running, asynchronous tasks on managed infrastructure without requiring developers to build their own agent loops. It acts as a complete “agent harness,” allowing developers to define goals while the system handles execution, orchestration, and state management behind the scenes. Unlike direct model prompting, which requires step-by-step interaction, Managed Agents are designed for tasks that unfold over time, such as research, automation, or multi-step workflows, where the agent can continue working independently after being started. It supports advanced capabilities such as multi-agent orchestration, where a primary agent can coordinate specialized sub-agents that operate in parallel with isolated contexts, improving both speed and output quality. -
8
Antigravity CLI
Google
Antigravity CLI is the terminal-first surface for interacting with Antigravity agents, built to let developers stay in their flow without context switching. It allows users to edit, orchestrate, and build in natural language by telling agents what they need and letting them work on getting it done. It is designed as the most lightweight way to invoke, monitor, and interact with Antigravity agents, with a snappy experience and minimal resource footprint for builders who live in the terminal. Antigravity CLI supports subagents, allowing multiple agents to work in parallel so larger tasks can be tackled faster. Users can delegate background tasks to concurrent agent sessions, type /agents to open the panel and monitor status, and use ctrl+k to approve tools instantly. It is highly configurable, with standard terminal shortcuts, adjustable permissions, themes, preferences through /config, and customizable keybindings through /keybindings.Starting Price: Free -
9
Emergence Orchestrator
Emergence
Emergence Orchestrator is an autonomous meta-agent designed to coordinate and manage interactions between AI agents across enterprise systems. It enables multiple autonomous agents to work together seamlessly, handling sophisticated workflows that span modern and legacy software platforms. The Orchestrator empowers enterprises to manage and coordinate multiple autonomous agents at runtime across various domains, facilitating use cases such as supply chain management, quality assurance testing, research analysis, and travel planning. It handles tasks like workflow planning, compliance, data security, and system integrations, freeing teams to focus on strategic priorities. Key features include dynamic workflow planning, optimal task delegation, agent-to-agent communication, an agent registry cataloging various agents, a skills library for task-specific capabilities, and customizable compliance policies. -
10
Fleece AI
Fleece AI
Fleece AI is a delegative AI workspace. A no-code workflow automation platform that deploys autonomous AI agents to automate tasks across 3,000+ app integrations. Describe tasks in plain language — AI agents connect applications, map workflows, and execute automations end-to-end. Build hierarchical agent teams that mirror real organizations: assign a lead agent that delegates to specialized sub-agents, consolidates results, and delivers outputs — fully autonomous, no supervision required. Use cases include email triage, CRM updates, report generation, invoice processing, and cross-app data syncs.Starting Price: $39/month/user -
11
Muse Spark 1.1
Meta
Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs built for agentic tasks, coding, computer use, tool use, and multimodal understanding. The model improves on the original Muse Spark with stronger performance in planning, orchestration, long-context work, coding workflows, and external app interactions. Muse Spark 1.1 can manage a 1 million token context window, remember earlier actions, retrieve important information, compact context, and delegate tasks across parallel subagents. It is designed to operate across tools, MCP servers, custom skills, browsers, native apps, scripts, images, video, PDFs, and audio-based workflows. Developers can access Muse Spark 1.1 through the new Meta Model API public preview, while users can try it in Thinking mode in the Meta AI app and on meta.ai.Starting Price: $1.25 per 1M tokens (input) -
12
happycapy
happycapy
happycapy is an agent-native AI platform that turns your browser into a powerful “agent computer,” enabling developers and users to deploy and run autonomous AI agents 24/7 without traditional server infrastructure, letting you delegate work across hundreds of large language models (LLMs) and AI services such as Claude Code in a secure, sandboxed environment. It supports running multiple AI agents in parallel to handle coding, automation, data-processing, and custom workflows continuously, giving teams a unified interface for orchestrating, scaling, and monitoring agent tasks. happycapy emphasizes flexibility and developer control by providing a private sandbox where agents can execute jobs, interact with code and data, and collaborate on complex tasks while managing state, logs, and outputs from AI services. It simplifies building and maintaining AI-powered applications by abstracting the complexity of infrastructure and model orchestration.Starting Price: $20/month -
13
Timbal
Timbal
Timbal is the end-to-end AI ecosystem for enterprises; a production AI platform that enterprise teams use to build, deploy, and govern agents, workflows, interfaces, and knowledge bases on the models they choose. Teams can define behavior in code or in Studio, run on the model and provider of their choice, and ship to chat, email, voice, and product UI from a single runtime. Timbal brings together the full production stack: a typed Python framework, a Studio for building visually, a runtime that orchestrates agents and workflows, governance and evals for enterprise rollout, and integrations with the systems teams already use. Agents provide autonomous AI for real work with reasoning, tools, and memory, while workflows create deterministic AI pipelines that chain steps, branch on logic, retry failed steps, stream outputs, and guarantee outcomes. Interfaces let teams ship custom AI experiences from chat to dashboards to voice, and knowledge bases connect company context.Starting Price: €25 per month -
14
GraphBit
GraphBit
GraphBit is an enterprise-grade agentic AI framework built to run critical AI systems with security, governance, and predictable production performance. It combines a Rust execution core with a Python wrapper to give developers high-performance orchestration with the accessibility of Python, helping teams build reliable multi-agent workflows with minimal CPU and memory usage. GraphBit is designed around the layers that reduce risk, including interfaces, configuration, models, tools, actions, memory, orchestration, and observability. It integrates into existing apps, powers custom AI interfaces, and lets users interact through familiar workflows with controlled actions. Teams can define policies, rules, and guardrails centrally, while GraphBit enforces behavior without changing application code. It supports LLMs and multimodal models from multiple providers, allowing teams to swap models freely without breaking workflows or governance. -
15
Aion 1.0 Plan
Microsoft
Aion 1.0 Plan is Microsoft’s local agentic reasoning model for Windows, designed to bring fully agentic workflows onto the device without cloud dependency or per-token cost. It is a 14-billion-parameter reasoning and tool-calling model with a 32K context length, shipping in-box as part of Windows on capable devices. Unlike smaller on-device models focused on everyday text intelligence, Aion 1.0 Plan is built for local agentic reasoning, enabling applications to understand user intent, invoke tools, manage files, and orchestrate sub-agents directly on the device. It belongs to Microsoft’s new generation of on-device small language models purpose-built for local execution, representing the progression from efficient text intelligence at scale to more capable local planning and action. Aion 1.0 Plan is part of Windows’ broader push toward “unmetered intelligence,” where frontier models handle the hardest problems while local models support continuous, lower-cost agent workflows. -
16
AgentFlow
Multimodal
AgentFlow is an agentic AI platform that automates workflows for finance and insurance companies. The platform includes modular AI agents, such as Document AI, Decision AI, and Report AI, each specializing in different stages of regulated workflows: triage, diligence, decisioning, and reporting. AgentFlow orchestrates multiple AI agents with human supervisors and third-party systems, enabling deep transformation of how work gets done. The platform features self-learning capabilities that allow AI agents to improve over time based on subject matter experts' feedback and provides transparency through explainability features that help users understand the reasoning behind AI-driven decisions. Every action and output is fully auditable, ensuring compliance with the strict standards of regulated industries. Its main mission is to codify tacit internal knowledge in order to reliably augment high-leverage workflows and preserve the know-how across generations of talent. -
17
North Mini Code
Cohere
North Mini Code is Cohere’s first agentic coding model for developers and the inaugural member of its next generation of powerful models. Small, efficient, and open-source, it is built for the sovereign developer ecosystem and designed to deliver strong software development performance without requiring extensive hardware. North Mini Code is a mixture-of-experts model with 30B total parameters and 3B active parameters, giving developers access to agentic coding capabilities in a compact and efficient form. The model is optimized for code generation, agentic software engineering, and terminal tasks, with a 256K total context length and up to 64K maximum generation. It is built for real-world developer workflows, including understanding and orchestrating sub-agents, mapping system architecture, running code reviews, and supporting coding agents that need to reason through complex software tasks. -
18
Nelly
Nelly
Nelly is a comprehensive AI agent platform that empowers users to build, test, distribute, and utilize AI agents without any coding required. Through Nelly Studio, users can create custom AI agents using natural language instructions, formatting them with headings, lists, and other content types. These agents can be equipped with various tools, such as a browser and a database, to accomplish their tasks. Complex tasks can be broken down into smaller problems and delegated to specialized sub-agents, allowing users to build a team of agents to handle intricate workflows. With Nelly, users can have natural, flowing conversations with their AI agents, which understand context and maintain coherent dialogue, eliminating the need for special commands or syntax. Conversations are organized into threads for better performance and organization. Users can also create departments and organize their agents using drag and drop, building their ideal AI team.Starting Price: $9 per month -
19
Nemotron 3 Nano Omni
NVIDIA
NVIDIA Nemotron 3 Nano Omni is an open, omni-modal foundation model designed to unify perception and reasoning across text, images, audio, video, and documents within a single efficient architecture. It eliminates the need for separate models for each modality, reducing inference latency, orchestration complexity, and cost while maintaining consistent cross-modal context. It is purpose-built for agentic AI systems, acting as a perception and context sub-agent that gives larger AI agents the ability to “see, hear, and read” in real time across screens, recordings, and structured or unstructured data. It supports advanced multimodal reasoning tasks such as document understanding, speech recognition, long audio-video analysis, and computer-use workflows, enabling agents to interpret dynamic interfaces and complex environments. Built with a hybrid architecture optimized for long context and throughput, it can process large inputs like multi-page documents.Starting Price: Free -
20
Zooid
Zooid
Zooid is an open-source team chat app built on the Matrix protocol, offering channels, threads, direct messages, and spaces. It can be self-hosted so conversation history and data remain on infrastructure the operator controls. The application is designed so that AI agents can take part in the same rooms as human team members. Agents that support the Agent Client Protocol (ACP), such as Claude Code, Codex, and opencode, can be added to a room, where their actions render as structured interface elements rather than plain text: permission requests appear as approval cards, tool calls as structured data, task plans as checklists, and sub-agent hierarchies as an expandable tree. Each agent runs in its own sandboxed container. Zooid is released under the MIT license and is self-hostable end to end.Starting Price: Free (open source) -
21
kagent
kagent
kagent is an open source, cloud-native AI agent framework designed to let teams build, deploy, and run autonomous AI agents directly inside Kubernetes clusters to automate complex operational tasks, troubleshoot cloud-native systems, and manage workloads without constant human intervention. It enables DevOps and platform engineers to create intelligent agents that understand natural language, plan, reason, and execute multi-step actions across Kubernetes environments using built-in tools and Model Context Protocol (MCP)-compatible tool integrations for functions like querying metrics, displaying pod logs, managing resources, and interacting with service meshes. It supports multiple model providers (such as OpenAI, Anthropic, and others), agent-to-agent communication for orchestrating sophisticated workflows, and observability features that help teams monitor agent behavior and performance.Starting Price: Free -
22
Oz
Warp
Oz is a cloud-based orchestration platform for AI coding agents that lets developers and teams run, manage, automate, and scale unlimited parallel cloud coding agents without building custom infrastructure, providing programmable, auditable, and fully steerable workflows that automate repetitive development tasks and complex code changes. It enables you to launch agents from the CLI, web app, APIs, SDKs, Warp Terminal, or even mobile, orchestrate hundreds of agents in parallel with built-in audit trails, session tracking, and visibility, and monitor or interact with running agents in a shared control plane. Oz supports flexible hosting on your infrastructure or Warp’s, isolates each agent in secure environments, produces real artifacts like plans and pull requests, and handles multi-repo changes so agents can coordinate sweeping updates across large codebases.Starting Price: $18 per month -
23
Pipecat
Pipecat
Pipecat is an open source framework and ecosystem for building real-time voice and multimodal conversational AI agents. It gives developers everything they need to create, deploy, and scale AI applications that can see, hear, and speak, while orchestrating audio, video, AI services, transports, and conversation pipelines with ultra-low latency. The core Pipecat framework is a Python-based system for building voice and multimodal AI pipelines, helping teams connect components such as speech-to-text, LLMs, text-to-speech, vision, video, transports, and business logic without manually wiring every service from scratch. Pipecat is designed to be vendor-neutral and composable, supporting more than 100 AI services so developers can choose the models and providers that fit each use case. Its ecosystem includes Pipecat Subagents for coordinating specialized agents with handoff, task dispatch, and distributed deployment.Starting Price: Free -
24
Oracle AI Agent Platform
Oracle
Oracle AI Agent Platform is a fully-managed service that enables the creation, deployment, and management of intelligent virtual agents powered by large language models and integrated AI technologies. Agents can be set up through a simple few-step process, and can orchestrate tools such as natural‐language-to‐SQL conversion, retrieval-augmented generation from enterprise knowledge bases, custom function or API calling, and even the ability to coordinate sub-agents. They support multi-turn conversational experiences with context retention across sessions, enabling agents to handle follow‐up questions and maintain personalised, consistent interactions. Built-in guardrails help enforce content moderation, prompt-injection prevention, and protection of PII (personally identifiable information), while optional human-in-the-loop workflows allow real-time supervision and escalation.Starting Price: $0.003 per 10,000 transactions -
25
Agentic.Market
Agentic.Market
Agentic.Market is a curated discovery platform for “agentic AI” tools, systems designed not just to generate responses, but to take action, make decisions, and execute real-world workflows autonomously. It functions as a structured directory where users can explore hundreds of AI tools across dozens of categories, spanning both personal and enterprise use cases such as coding agents, customer support automation, workflow orchestration, data analysis, and research tools. It emphasizes a clear distinction between traditional AI assistants and agentic systems, highlighting tools that operate in a continuous loop of goal setting, decision-making, action, and adaptation. Agentic.Market organizes tools into two main segments: solutions for individuals, focused on productivity, learning, creativity, and everyday automation, and solutions for teams, including developer tools, sales and marketing automation, customer support agents, and enterprise data systems.Starting Price: Free -
26
WEM
WEM No-Code B.V.
WEM No-Code is an enterprise application platform combining no-code development with governed agentic AI orchestration. Business teams build and deploy production-grade applications, automate complex workflows, and run AI agents across operations — without writing a single line of code. Unlike generic automation tools, WEM No-Code's micro-agent architecture ensures AI operates only within structured, auditable workflows. Every agent action is validated by business rules and human checkpoints, making it the platform of choice for regulated industries including financial services, government, healthcare, and logistics. Trusted by KPN, Novo Nordisk, Achmea, Arval, Getronics, and the Dutch Ministry of Finance. ISO 27001 and ISO 9001 certified. 500+ enterprise teams across Europe. Headquartered in Amsterdam since 2012. -
27
Skymel
Skymel
Skymel is a cloud-native AI orchestration platform built around its real-time Orchestrator Agent (OA) and companion AI assistant, ARIA. The Orchestrator Agent enables both fully automatic runtime agent creation and developer-controlled dynamic agents that seamlessly integrate across any device, cloud, or neural network architecture. It leverages NeuroSplit’s distributed-compute technology to optimize inference, automatically routing each request through the ideal model and execution environment (on-device, cloud, or hybrid), unifying error handling, and reducing API costs by 40–95% while improving performance. On top of OA, Skymel ARIA delivers a single, synthesized answer to any query by orchestrating ChatGPT, Claude, Gemini, and other leading AI models in real-time, eliminating manual prompt chaining and subscription juggling. -
28
ServiceNow AI Agents
ServiceNow
ServiceNow's AI Agents are autonomous systems embedded within the Now Platform, designed to perform repetitive tasks traditionally handled by humans. These agents interact with their environment to collect data, make decisions, and execute tasks, enhancing efficiency over time. Leveraging domain-specific large language models and a robust reasoning engine, they possess a deep understanding of business contexts, enabling continuous improvement in outcomes. Operating natively across workflows and data systems, AI Agents facilitate end-to-end automation, boosting team productivity by orchestrating workflows, integrations, and actions throughout the enterprise. Organizations can deploy prebuilt AI agents or develop custom agents tailored to specific needs, all functioning seamlessly on the Now Platform. This integration allows employees to focus on more strategic initiatives by automating routine tasks. -
29
Action Agent
WRITER
Action Agent is an autonomous AI with enterprise‑grade controls that reasons, runs code, and executes tasks across your data and systems without manual prompting. It lets you build custom agents with shared tools for IT and business teams, activate them via a unified interface, and supervise performance at scale with governance and monitoring features. By ingesting large data files, the agent can analyze complex datasets and generate charts, graphs, and presentations; draw insights from competitive landscapes and research; and create ready‑to‑use outputs based on high‑level instructions. Action Agent consistently ranks #1 on GAIA Level 3 and Computer Use benchmarks, demonstrating proficiency in web search and scraping, data analysis and visualization, browser and system navigation, task orchestration, file generation, and code execution. A forthcoming library of 80 + connectors will ground its autonomy in real workflows, integrating with core enterprise systems.Starting Price: $29 per month -
30
Nagent AI
Nagent AI
Nagent AI is an enterprise AI agent platform that helps teams stop building AI tools and deploy agentic applications that execute real business workflows autonomously. Nagent lets anyone, from product managers to customer success teams, create, deploy, and orchestrate AI agents that learn, remember, and act. Its no-code Agent Builder Studio brings models, tools, logic, knowledge, memory, multimodal capabilities, and enterprise-grade safety into one workspace, making it possible to build agents from scratch, customize templates, or ask the AI assistant to help finish parts of the workflow. It includes a proprietary multi-agentic workflow system that orchestrates many agents into one flow, connecting content, research, reporting, and other enterprise processes. Nagent supports 40+ AI models in one platform, allowing users to use one or multiple models without managing separate keys, accounts, or billing.Starting Price: $49 per month -
31
Emdash
Emdash
Emdash is an orchestration layer that lets you run multiple coding agents in parallel, each in its own isolated Git worktree, so you can simultaneously spin up different agents to tackle independent subtasks or experiments without interference. It’s provider-agnostic, meaning you can pick from various AI models and CLIs (for example, Claude Code, Codex, and others) to fit your workflow. With Emdash, you can assign issues or tickets (from Linear, GitHub, or Jira) directly to a chosen agent, then watch multiple agents operate side by side in real time. The UI shows live agent status and activity, and once agents generate code, you can review diffs, comment, and open pull requests, all without leaving Emdash. Because every agent runs in a separate worktree, changes stay sandboxed and comparable, enabling you to test different implementations or strategies side-by-side safely.Starting Price: Free -
32
VoltAgent
VoltAgent
VoltAgent is an open source TypeScript AI agent framework that enables developers to build, customize, and orchestrate AI agents with full control, speed, and a great developer experience. It provides a complete toolkit for enterprise-level AI agents, allowing the design of production-ready agents with unified APIs, tools, and memory. VoltAgent supports tool calling, enabling agents to invoke functions, interact with systems, and perform actions. It offers a unified API to seamlessly switch between different AI providers with a simple code update. It includes dynamic prompting to experiment, fine-tune, and iterate AI prompts in an integrated environment. Persistent memory allows agents to store and recall interactions, enhancing their intelligence and context. VoltAgent facilitates intelligent coordination through supervisor agent orchestration, building powerful multi-agent systems with a central supervisor agent that coordinates specialized agents.Starting Price: Free -
33
8090 Software Factory
8090 Solutions
Software Factory by 8090 is an AI-native SDLC orchestration platform built to help teams ship high-quality software that lasts. It brings product managers, designers, engineers, and QA teams into a single collaborative workflow. The platform uses agent-assisted workspaces to refine requirements, architecture, and execution plans. Software Factory ensures teams build the right thing before writing code. Structured planning gives AI agents the context needed to generate accurate and aligned outputs. Built-in feedback validation converts real-world input into actionable development tasks. Software Factory streamlines software delivery from strategy to production.Starting Price: $200/seat/month -
34
MiniMax M2
MiniMax
MiniMax M2 is an open source foundation model built specifically for agentic applications and coding workflows, striking a new balance of performance, speed, and cost. It excels in end-to-end development scenarios, handling programming, tool-calling, and complex, long-chain workflows with capabilities such as Python integration, while delivering inference speeds of around 100 tokens per second and offering API pricing at just ~8% of the cost of comparable proprietary models. The model supports “Lightning Mode” for high-speed, lightweight agent tasks, and “Pro Mode” for in-depth full-stack development, report generation, and web-based tool orchestration; its weights are fully open source and available for local deployment with vLLM or SGLang. MiniMax M2 positions itself as a production-ready model that enables agents to complete independent tasks, such as data analysis, programming, tool orchestration, and large-scale multi-step logic at real organizational scale.Starting Price: $0.30 per million input tokens -
35
mrmr
mrmr
mrmr is a voice-first AI agent for Mac. Press one shortcut and talk, and it takes real action across the apps you already work in. This is speech-to-action, not speech-to-text. Ask it to create a Linear ticket, post the link in a Slack channel, and add a calendar follow-up, and it does all three in one conversation. mrmr chains multi-step workflows, resolves your channels, teammates, and projects automatically, and confirms anything before it sends or changes it. It connects to Slack, Linear, Google Calendar, Google Tasks, Google Meet, Zoom, Notion, Gmail, Cal.com, Calendly, Attio, and GitHub through real app APIs, plus Apple Reminders. It also searches your Mac files and browser history, runs cited web search, runs your own scripts by voice, and delegates to background sub-agents. mrmr also handles fast dictation in around 60 languages, but the focus is doing, not typing. A voice-first alternative to Siri, Wispr Flow, and Superwhisper. Currently in private beta.Starting Price: Free -
36
HAQQ
HAQQ
HAQQ is a legal AI and practice management platform designed to help lawyers, law firms, legal teams, businesses, governments, and consumers complete legal work faster. The platform supports drafting, legal research, contract review, risk analysis, matter management, billing, CRM, document management, tasks, time tracking, client portals, and mobile access. HAQQ combines chat, eFirm, mobile apps, eBar, client portal, API, MCP, legal sources, firm knowledge, templates, precedents, clause libraries, playbooks, policies, and matter history in one operating system. Its agentic legal system uses model selection, tool routing, sub-agent orchestration, memory, guardrails, deep reasoning, lookahead, rollback, and human-in-the-loop workflows. The platform includes enterprise-grade security with cross-matter isolation, audit trails, role-based access control, anonymization, GDPR, ISO 42001, ISO 27001, and SOC 2 Type II compliance.Starting Price: $0 -
37
Wonderful
Wonderful
Wonderful is an enterprise agent platform designed to help organizations build, deploy, and manage AI agents that operate across core business workflows and systems. It provides a unified infrastructure that combines models, tools, and data into a single operating system for creating and scaling AI agents across customer interactions, employee workflows, and back-office operations. It enables enterprises to design, test, and refine agents with full control over behavior, compliance, and logic, while connecting them to real business data through APIs and integrations so they can execute tasks end to end. Wonderful supports multi-channel deployment across voice, chat, email, and embedded interfaces, allowing agents to handle natural interactions, automate processes, and coordinate actions across systems. Its architecture includes orchestration layers that manage agent workflows, business context layers that ground agents in organizational data and processes. -
38
Mistral Agents API
Mistral AI
Mistral AI has introduced its Agents API, a significant advancement aimed at enhancing the capabilities of AI by addressing the limitations of traditional language models in performing actions and maintaining context. This new API integrates Mistral's powerful language models with several key features, built-in connectors for code execution, web search, image generation, and Model Context Protocol (MCP) tools; persistent memory across conversations; and agentic orchestration capabilities. The Agents API complements Mistral's Chat Completion API by providing a dedicated framework that simplifies the implementation of agentic use cases, serving as the backbone of enterprise-grade agentic platforms. It enables developers to build AI agents capable of handling complex tasks, maintaining context, and coordinating multiple actions, thereby making AI more practical and impactful for enterprises. -
39
Agent Builder
OpenAI
Agent Builder is part of OpenAI’s tooling for constructing agentic applications, systems that use large language models to perform multi-step tasks autonomously, with governance, tool integration, memory, orchestration, and observability baked in. The platform offers a composable set of primitives—models, tools, memory/state, guardrails, and workflow orchestration- that developers assemble into agents capable of deciding when to call a tool, when to act, and when to halt and hand off control. OpenAI provides a new Responses API that combines chat capabilities with built-in tool use, along with an Agents SDK (Python, JS/TS) that abstracts the control loop, supports guardrail enforcement (validations on inputs/outputs), handoffs between agents, session management, and tracing of agent executions. Agents can be augmented with built-in tools like web search, file search, or computer use, or custom function-calling tools. -
40
Masonry
Masonry
Masonry is an AI-powered collaboration platform that turns words into workflows by orchestrating multiple AI agents to automate and manage diverse business tasks. Through a web-based interface, users dispatch natural-language prompts to specialized agents that organize sales pipelines, schedule meetings, analyze data, process documents, generate and enhance images, and handle invoicing, then track progress in real time. Masonry integrates with Gmail, Google Calendar, Google Sheets, Slack, Stripe, and hundreds of other tools to ingest files, sync data, and execute actions without manual handoffs. Teams can also build custom agents tailored to unique workflows, assign and prioritize tasks, and review comprehensive analytics and status updates on a unified dashboard. By combining AI-driven task decomposition, automated execution, and seamless integrations, Masonry streamlines operations, eliminates repetitive work, and lets users focus on strategic priorities.Starting Price: $20 per month -
41
Invicta AI
Invicta AI
Orchestrate AI agent teams with Mixture of Agents (MoE) approach. Create specialised AI workers with unique knowledge, LLMs, triggers and tools. Scale work with compute, not headcount. Automate complex workflows effortlessly—no coding required.Starting Price: $0 -
42
Penligent
Penligent.ai
Penligent is an agentic AI penetration testing platform for authorized security testing. It helps security teams test web applications, APIs, business logic, and AI agents through an evidence-driven workflow. Users can define a target, choose a testing type, and let AI agents plan tasks, orchestrate security tools, analyze results, validate vulnerabilities, and generate editable reports. Penligent is built for security engineers, red teams, penetration testers, bug bounty hunters, consultants, and organizations that need faster, repeatable, and structured security assessments.Starting Price: $49.90/month -
43
Calljmp
Calljmp
Calljmp is a developer-first AI agent runtime designed to build, run, and scale long-running stateful workflows written in TypeScript. While many modern tools like Mastra AI provide rich frameworks to define agents and workflows, Calljmp focuses on actually running them reliably in production. Calljmp combines agent logic, durable execution, human-in-the-loop pause/resume, retries with idempotency, and built-in observability into a unified execution environment. Developers implement agents as code, and the runtime guarantees reliable execution, state persistence, and operational visibility without gluing together custom queues, databases, and monitoring stacks. Calljmp is ideal for engineering teams, product developers, and backend architects who want to embed intelligent agents into product systems while offloading execution complexity to a purpose-built runtime.Starting Price: Free -
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Mastra AI
Mastra AI
Mastra is a powerful TypeScript framework for building intelligent AI agents that can execute tasks, access knowledge bases, and maintain memory persistently within workflows. This framework simplifies the process of creating and deploying AI-powered agents by leveraging TypeScript’s capabilities to streamline development. With features like customizable agent instructions, memory, and task orchestration, Mastra provides developers with the tools to build and scale AI agents for various applications, from personal assistants to specialized domain experts.Starting Price: Free -
45
ReByte
RealChar.ai
Action-based orchestration to build complex backend agents with multiple steps. Working for all LLMs, build fully customized UI for your agent without writing a single line of code, serving on your domain. Track every step of your agent, literally every step, to deal with the nondeterministic nature of LLMs. Build fine-grain access control over your application, data, and agent. Specialized fine-tuned model for accelerating software development. Automatically handle concurrency, rate limiting, and more.Starting Price: $10 per month -
46
Polyscope
Beyond Code
Polyscope is an agent-first development environment designed to orchestrate and run multiple AI coding agents in parallel, allowing developers to automate complex software engineering workflows. It works with advanced coding models such as Claude Code and OpenAI Codex, enabling users to launch several agents simultaneously while maintaining separate, isolated workspaces for each task. Each agent operates inside its own copy-on-write environment, which allows the system to safely experiment with different approaches, modify files, and test changes without affecting the original project. It enables developers to run dozens of AI agents concurrently to generate code, analyze repositories, perform debugging, or experiment with alternative solutions across the same codebase. Itis delivered as a native macOS tool designed for high-performance agent execution, giving engineers a centralized interface to observe agent progress and manage tasks.Starting Price: $99 per year -
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Subconscious
Subconscious
Subconscious is a developer-first platform designed to build, deploy, and scale production-ready AI agents by handling the hardest parts of agent architecture automatically. It provides a complete agent system that manages context, orchestrates tools, and enables long-horizon reasoning, allowing developers to focus on defining goals and capabilities rather than stitching together complex infrastructure. It introduces a unified inference engine composed of a co-designed model and runtime that decomposes complex tasks, generates workflows dynamically, and executes multi-step reasoning without manual context engineering or multi-agent orchestration. Unlike traditional approaches that rely on chaining APIs and frameworks, Subconscious enables agents to take in goals and tools, then autonomously plan, reason, and act with minimal human intervention, effectively creating systems that can “get the job done” on their own.Starting Price: $2 per 1M tokens -
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Qoris AI
Kardash AI Inc
Qoris AI is a unified AI Operating System designed to replace fragmented tools with specialized agents that work together across the entire customer journey. It includes a live Sales Agent for lead conversion today, along with Knowledge and Service Agents in beta and a Thinking Agent™ launching in 2026 to orchestrate multi-agent strategies automatically. The platform enables businesses to convert visitors, answer internal questions from documents, automate 24/7 support, and soon, generate goal-driven plans through autonomous orchestration. Qoris AI requires no coding, deploys instantly, and is built with enterprise-grade security including SOC 2 and GDPR compliance. Designed as a scalable, multi-agent ecosystem, it allows teams to start with a single agent and expand into a full AI stack. With clear pricing, OS-level analytics, and seamless interoperability, Qoris AI becomes the central intelligence layer powering modern enterprise workflows.Starting Price: $0 -
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IBM watsonx Orchestrate is a generative AI and automation solution that empowers businesses to automate tasks and simplify complex processes. With a catalog of prebuilt applications and skills, along with a conversational chat interface, it enables the design of scalable AI assistants and agents to automate repetitive tasks and streamline operations. The platform features a next-generation, low-code builder studio for creating and deploying large language model-powered assistants, guided by a natural language interface for efficient development. The Skills Studio allows teams to build automation using data, decisions, and workflows, integrating existing technology investments with AI assistants. Thousands of prebuilt skills facilitate quick integration with existing systems and applications. Orchestrate's LLM-based routing and orchestration capabilities provide a user-friendly experience, enabling quick engagement with AI agents to accomplish tasks.
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Conductor
Netflix
Conductor is a workflow orchestration engine that runs in the cloud. Conductor was built to help Netflix orchestrate microservices-based process flows with the following features. A distributed server ecosystem, which stores workflow state information efficiently. Allow creation of process/business flows in which each individual task can be implemented by the same/different microservices. A DAG (Directed Acyclic Graph) based workflow definition. Workflow definitions are decoupled from the service implementations. Provide visibility and traceability to these process flows. Simple interface to connect workers, which execute the tasks in workflows. Workers are language agnostic, allowing each microservice to be written in the language most suited for the service. Full operational control over workflows with the ability to pause, resume, restart, retry and terminate. Allow greater reuse of existing microservices providing an easier path for onboarding.