Best Agentic AI Platforms in Mexico - Page 17
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Compare the Top Agentic AI Platforms in Mexico as of September 2026 - Page 17
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1
AG-UI
AG-UI
AG-UI is an open, lightweight, event-based protocol that standardizes how AI agents connect to user-facing applications. Built for simplicity and flexibility, it enables seamless integration between AI agents, real-time user context, and user interfaces. AG-UI is designed for agent-human interaction: during agent executions, backends emit events compatible with standard AG-UI event types, and agent backends can accept simple AG-UI-compatible inputs as arguments. It works with any event transport, including SSE, WebSockets, webhooks, and other streaming systems, while providing a flexible middleware layer that ensures compatibility across diverse environments. AG-UI brings agents into user-facing applications and complements the wider agentic protocol stack: MCP gives agents tools, A2A allows agents to communicate with other agents, and AG-UI connects agents directly to the user interface.Starting Price: Free -
2
assistant-ui
assistant-ui
assistant-ui is an open source React toolkit for production AI chat experiences, designed to bring the UX of ChatGPT into your own app. It helps developers create beautiful, enterprise-grade AI chat interfaces in minutes for React, React Native, and terminal applications. Whether you are building a ChatGPT clone, a customer support chatbot, an AI assistant, or a complex multi-agent application, assistant-ui provides frontend primitive components and state management layers so you can focus on what makes your application unique. It includes instant chat UI with pre-built, beautiful, customizable chat interfaces out of the box, making it easy to quickly iterate on an idea. Its chat state management is optimized for streaming responses, interruptions, retries, multi-turn conversations, and efficient rendering. assistant-ui is built for high performance, with optimized rendering and a minimal bundle size to keep AI chat interfaces responsive.Starting Price: $50 per month -
3
Kanwas
Kanwas
Kanwas is your team’s context brain: one place for teams and agents to create, edit, share, and compound product context. Instead of juggling Claude chats, local folders, Obsidian, VS Code, Git, and docs, Kanwas gives product teams a shared workspace where context stays alive. It is not just answers, not just outputs, and not starting from scratch; it is a place to think, collaborate, and get sharp deliverables. Kanwas builds shared context by learning about you, your business, and your decisions, making evidence, ideas, and trade-offs transparent to everyone. Canvas plus shared context creates alignment, letting teams and agents work over the same context while generating structured, execution-ready deliverables for every stage of implementation. Every decision and outcome makes the next thinking process and deliverable better than the last, turning stored knowledge into a living board that teams can think in. Kanwas includes a canvas for real work, bringing code, docs, tasks, etc.Starting Price: Free -
4
Plurai
Plurai
Plurai is the real-world trust platform for AI agents, built for simulation-driven evaluation, protection, and optimization that turns agents into trusted, continuously improving production systems. It helps teams train evals and guardrails tailored to their use case, bridging the gap from prototype to reliable production at scale. Plurai’s simulation platform prepares agents for the real world, not the lab, with hyper-realistic, product-tailored experimentation and evaluation that covers production complexity. It generates authentic multi-turn scenarios, personas, required artifacts, and tool mocking, using organizational PRDs, relevant sources, and policies to build a knowledge graph and expand edge-case coverage. Instead of relying on static datasets, manual test creation, or inconsistent LLM-as-a-judge methods, Plurai groups evaluations into structured, runnable experiments so teams can test new versions, measure regressions, and validate improvements before release.Starting Price: Free -
5
pay.sh
pay.sh
pay.sh is a pay-per-use API access for agents and command lines, built to let agents pay for any API with one line. It gives agents a normal tool path for paid APIs: discover a service, review the cost, make the request, and receive the response, with no sign-up, no account, and no subscription required. pay.sh is designed for the agentic economy, where autonomous agents need APIs, but today’s best services still demand a human to create an account, choose a plan, add an API key, and attach a credit card. Instead, pay.sh closes that gap with API calls that agents can discover, price, and call directly. It includes a directory for agents, developers, and API teams, helping API providers publish services in a format that agents can inspect and use without asking a human to create an account first. Agents can search the catalog, inspect endpoints, and call pay-per-use services across categories like AI/ML, maps, data, search, messaging, compute, storage, and crypto/finance.Starting Price: Free -
6
Agent Control
Agent Control
Agent Control is the open source control plane for AI agents, built to establish a new standard for governing agent behavior at scale. It solves the problem of scattered, hardcoded checks by giving teams a centralized governance layer with step-level enforcement that can be managed from a single control plane and updated in real time without touching agent code. Developers can make any function governable by adding the control() decorator, turning meaningful decision points inside an agent into independently governed control points with their own policies. When a decorated function executes, Agent Control evaluates the input or output against the active policy and returns a decision: deny, steer, warn, log, or allow. If the decision is denied, the SDK raises a ControlViolationError before the unsafe action can proceed. Policies are decoupled from code, so developers decide where to place control hooks while policy teams decide what those hooks enforce.Starting Price: Free -
7
Preloop
Preloop
Preloop is the open source AI agent control plane for agents that take real actions. It combines an MCP firewall for tool access, an AI model gateway for cost, safety, and attribution, policy-as-code with human approvals, runtime session observability, and audit trails in a single self-hostable platform. AI agents can deploy code, change infrastructure, move money, touch production data, and burn model spend in seconds, so Preloop helps teams control what agents can do, how much they spend, and which actions require human approval. It works with OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any MCP-compatible agent or managed runtime. Access rules can inspect arguments and context, not just tool names, with CEL expressions for fine-grained conditions. Teams can start with observability, then layer in approvals and deny rules without SDKs or invasive app changes.Starting Price: $290 per month -
8
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 -
9
Whim
Whim
Whim is a cloud dev workspace for running AI coding agents at the speed of thought. It lets developers run AI coding agents like Claude Code and Codex in isolated cloud containers instead of running them locally on a laptop. Each task gets its own sandboxed Ubuntu environment with full shell access, git branch isolation, and real-time terminal streaming, allowing developers and teams to use AI coding agents in daily workflows with parallelism, collaboration, and zero local setup. Users can connect a repo, write a prompt, and the AI agent starts working in a secure cloud container accessible from any device. Multiple tasks can run simultaneously, making it possible to try different approaches, work on separate features, or let an orchestrator coordinate a squad of agents without them stepping on each other’s toes. Whim supports Claude and GPT models through native CLI runtimes, with additional models planned through OpenRouter.Starting Price: $50 per month -
10
Proof
Every
Proof is an agent-first document editor built for agents and humans to collaborate. It gives teams a shared document where humans and AI can write together, suggest edits, leave comments, and track who wrote what. Every character carries provenance, with a colored gutter showing authorship, so users can distinguish human-written text from AI-written text. When an AI edits a document, Proof creates suggestions like track changes, with insertions and deletions that users can accept or reject one by one. AI agents can also comment on specific text to explain reasoning, ask questions, flag issues, or continue a conversation inside the document. Users can create a document, share the link with agents such as Claude Code, ChatGPT, Codex, or OpenClaw, and collaborate through a shareable workspace instead of passing around .md files. Proof supports use cases such as bug reports, PRDs, implementation plans, research briefs, growth reports, copy audits, strategy docs, memos, proposals, etc.Starting Price: Free -
11
MemClaw
Caura AI
MemClaw is a persistent-memory service for LLM-based agents and a governed shared memory layer for agent fleets. It is designed to help AI agents learn from each other by turning isolated agent context into a Company Brain with memory, governance, provenance, contradiction detection, and visibility scopes built in from day one. MemClaw separates an organization’s agent force, including tenants, fleets, nodes, and agents, from the governed memory plane through MCP Server, REST API, OpenClaw plugin, MemClaw Core, and persistent storage. Agents can write to and recall from the Company Brain through MCP-compatible tools, direct HTTPS calls, or OpenClaw integration, while MemClaw Core runs enrichment such as entity extraction, contradiction detection, PII scanning, and lifecycle transitions before anything is stored. Every memory can be stamped with a visibility scope, auto-classified into types such as fact, episode, decision, preference, rule, plan, commitment, action, and outcome.Starting Price: $49 per month -
12
Dock
Dock
Dock is the AI workspace for you, your team, and every agent you run. It gives humans and AI agents the same shared cloud workspace, where everyone can read and write the same state in real time instead of working across scattered chats, files, and one-off outputs. Dock is built around tables with typed columns, rich-text docs, and agents as first-class identities, each with their own API keys, permissions, and audit trail rather than delegated human tokens. Teams can use Dock to plan, research, decide, and ship with humans and AI on the same surface, with use cases across engineering, go-to-market, research, operations, solo work, and agency workflows. Engineering teams can manage sprint planning, spec docs, and incident response; GTM teams can organize content calendars, sales pipelines, and customer success; research teams can track interviews, themes, and competitive intelligence; and operations teams can manage runbooks, recruiting, compliance, and onboarding.Starting Price: $19 per month -
13
AG2
AG2
AG2 is the open source AgentOS for building production-ready AI agents and multi-agent systems in minutes, not months. Formerly AutoGen, it provides an open source Python framework for building, orchestrating, and scaling AI agents that can collaborate through shared context, use tools, execute workflows, and support both autonomous and human-in-the-loop patterns. AG2 is designed for developers who want to build systems, not prompts, with simple and intuitive syntax, built-in conversation patterns, and a flexible platform for multi-agent automation. Agents in AG2 can extend their capabilities with tools, allowing them to interact with external systems, fetch real-time data, execute code, search the web, process documents, and complete complex tasks beyond a model’s internal knowledge. It supports many LLM providers and local models, including OpenAI-compatible endpoints, Anthropic Claude, Gemini through Vertex AI, DeepSeek, and LM Studio.Starting Price: Free -
14
Multica
Multica
Multica is an open source project management platform for human and agent teams, built to turn coding agents into real teammates rather than separate tools. It gives humans and AI agents the same workspace, where agents can be assigned issues, report progress, reply in comments, raise blockers, ship code, and appear in the member list with profiles, avatars, and open-issue queues. Users can assign work to an agent the same way they would hand a task to a teammate, or open a chat window to ask it to draft an issue, answer a question, or handle a one-off request. Multica’s shared context layer keeps issue comments, attachments, reports, task history, and workspace knowledge accessible to both people and agents, while skills act as workspace-wide playbooks that let every agent reuse the same definitions and operating instructions.Starting Price: Free -
15
AionUi
AionUi
AionUi is a desktop workspace where AI agents live on the user’s computer and actually collaborate across everyday tasks such as writing code, making slides, sorting files, crunching numbers, editing photos, creating reports, writing papers, and running automations 24/7. Users can work with one agent, run multiple agents in parallel, assign tasks to the right assistant, or team them up inside one unified workspace. AionUi auto-detects Claude Code, Codex, Gemini CLI, Aion CLI, OpenCode, OpenClaw, Goose, and 20+ more tools already installed on the machine, so users can reuse their existing setup without reinstalling or duplicating tools. It includes 20+ built-in assistants for presentations, Excel, financial models, documents, academic papers, diagrams, UI/UX design, games, creative writing, project planning, recruiting, setup, and autonomous end-to-end work. Users can also create custom assistants tailored to their workflow.Starting Price: Free -
16
Tulsk
Tulsk
Tulsk is an agentic project management workspace for small startup teams, built to plan, run, and monitor autonomous AI work across projects, docs, tasks, comments, and agent workflows in one shared workspace. Teams use Tulsk to delegate real work to AI agents instead of managing separate chat windows, prompts, and half-finished outputs. Users can mention an agent in any task, and the agent reads the context, executes the work, and posts the result back in the thread with no copy-paste or babysitting. Tulsk combines projects, statuses, priorities, attachments, real-time comments, OpenClaw agent runtime, EMA AI project manager, Skills, MCP access, and agent scheduling in one workspace. OpenClaw gives agents their own dedicated cloud workspace with browser, shell, web search, editable persona files, attached skills, and tool access, so they can handle long-running jobs such as market research, competitor analysis, reports, content drafts, operational checks, and specialized workflows.Starting Price: $39 per month -
17
Agent Client Protocol (ACP)
Agent Client Protocol (ACP)
The Agent Client Protocol (ACP) standardizes communication between code editors, IDEs, and coding agents, making agent-editor interoperability the default instead of requiring custom integrations for every possible combination. It provides a standard interface for communication between AI agents and client applications, with a flexible, extensible, and platform-agnostic architecture designed for both local and remote scenarios. ACP addresses integration overhead, limited compatibility, and developer lock-in by allowing agents that implement the protocol to work with any compatible editor, while editors that support ACP gain access to the broader ecosystem of ACP-compatible agents. Similar in spirit to how the Language Server Protocol standardized language server integration, ACP decouples agents and editors so both sides can innovate independently while developers choose the best tools for their workflow.Starting Price: Free -
18
Project Solara
Microsoft
Project Solara is Microsoft’s early chip-to-cloud platform for agent-first devices, built to support a future where agents are easy to reach, naturally engaged, and always available across new device form factors. Instead of centering the experience around traditional apps, Project Solara is designed for an open, multi-agent world where specialized agents can be built, deployed, and experienced across every layer of the stack. Microsoft imagines a diverse ecosystem of agent-first devices, from small to large, fixed to hypermobile, and personal to professional, each supported by a base OS, shell, developer ecosystem, apps, web-based intermediation, and silicon integration. It is designed to make agents more capable and accessible by composing hardware, software, cloud services, and developer tools into a foundation for new interaction patterns. Project Solara includes two concept devices that show how agent-first computing could work in practice.Starting Price: Free -
19
Graphify
Graphify
Graphify is an open source knowledge graph engine that turns any input, including code, docs, papers, meetings, images, browser tabs, and commits, into one traversable graph with complete recall. It is built as persistent memory for AI coding assistants, giving tools like Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Aider, Factory Droid, Kimi Code, Kiro, Pi, and Google Antigravity a queryable understanding of a project instead of making them repeatedly grep through files. Users can point Graphify at any directory, and it builds an initial corpus through AST extraction, semantic analysis, and Leiden clustering, transforming an entire codebase or document corpus into a graph in one pass. Unlike RAG pipelines that re-embed everything on every change, Graphify maintains a living graph that updates only affected nodes and edges when files change, allowing the rest of the corpus to stay intact even at enterprise scale.Starting Price: Free -
20
OpenViking
OpenViking
OpenViking is an open source context database designed specifically for AI agents, built around a file-system paradigm that unifies the management of memories, resources, and skills. Instead of treating context as scattered chunks in a fragmented vector store, OpenViking organizes agent context into a virtual file system under the viking protocol, giving agents a structured way to store, navigate, retrieve, and observe the information they need. It is designed to help developers move beyond the hassle of manual context management by giving agents a minimalist interaction model for context, similar to reading and writing files. OpenViking supports hierarchical context loading, semantic retrieval, recursive retrieval, sessions, metrics, and observability, making it possible for AI agents to access the right level of information without stuffing everything into the prompt.Starting Price: Free -
21
Hindsight
Vectorize
Hindsight is an agent memory system built to create smarter AI agents that learn over time instead of starting every conversation from zero. Most agent memory systems focus on recalling conversation history, but Hindsight is focused on making agents learn, not just remember. It gives AI agents persistent long-term memory using biomimetic data structures, helping them retain facts, recall relevant context, and reflect on experience as part of reasoning. Hindsight is designed for agents that need to understand who a user is, what has been discussed, what preferences have emerged, what decisions were made, and how behavior should adapt across sessions. It provides three core operations: retain, recall, and reflect. Retain stores new information, recall retrieves the right memories when needed, and reflect helps agents synthesize observations, form mental models, and learn from prior interactions.Starting Price: Free -
22
claude-mem
cmem.ai
claude-mem is an offline-first cloud memory for AI agents, built around an open source engine and a cloud sync layer that links agent memory everywhere through one private MCP link. It is designed so coding agents and AI assistants do not start from zero every session, every machine, or every editor. claude-mem takes notes while an agent works, capturing decisions, fixes, dead ends, environment notes, architecture choices, and other structured observations in a temporal database. CMEM Cloud then mirrors that local memory behind a private Model Context Protocol endpoint, allowing any compatible agent or IDE to read and write the same memory across tools such as Claude Code, Cursor, Windsurf, OpenCode, Codex CLI, Gemini CLI, and VS Code. It works locally first, with or without a network, while keeping memory synchronized when cloud access is available.Starting Price: Free -
23
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.Starting Price: Free -
24
Ejentum
Ejentum
Ejentum is a reasoning harness for agentic AI, built as a structured reasoning layer that makes LLM agents more reliable, auditable, and disciplined during long or complex tasks. It works as a tool that an agent can call mid-task, returning the exact cognitive operation matched to the problem in front of it, so the agent can correct reasoning at inference time instead of relying only on static prompts. Ejentum is designed to stop AI agents from drifting, flattering, fabricating, locking into false hypotheses, stopping at shallow answers, or losing important context after several steps. It provides 679 abilities across four cognitive harnesses: reasoning, code, anti-deception, and memory. The reasoning harness channels analytical power across causality, time, space, simulation, abstraction, and metacognition, helping agents avoid surface-level pattern matching.Starting Price: €25 per month -
25
Manufact
Manufact
Manufact is a platform to build and deploy MCP apps and servers, giving teams a fast path to the ChatGPT Apps Store, Claude Connectors, and every surface where users and agents already work. The mcp-use SDK is the full-stack MCP framework to develop MCP apps for ChatGPT and Claude, as well as MCP servers for AI agents. Manufact covers every step of the MCP lifecycle with no extra tools: build from an SDK, a skill, or a vibe; deploy with one push; publish with marketplace checklists and generated submission assets; iterate with Cloud Inspector; and monitor with analytics, session replay, traces, error rates, and alerts. Teams can scaffold with the MCP-use SDK, install a skill into a coding agent, describe an app and watch it scaffold, or drop in an existing MCP server unchanged. Manufact Cloud connects to a repo once, then every push auto-deploys, with preview URLs for pull requests, custom domains, and SSL handled.Starting Price: $25 per month -
26
Sakana Fugu
Sakana AI
Sakana Fugu is an AI model and multi-agent AI system delivered through a single OpenAI-compatible API. The platform dynamically orchestrates a pool of powerful models to solve complex tasks without requiring users to manually choose models, assign roles, or design agent workflows. Fugu learns how to assemble and coordinate agents for coding, reasoning, research, cybersecurity, scientific analysis, and other quality-critical work. Users can choose between Fugu for balanced performance and latency or Fugu Ultra for harder, high-stakes tasks that need deeper expert coordination. The platform also allows users to control which models or providers can participate in the agent pool to support privacy, compliance, and organizational requirements. Sakana Fugu helps teams access collective AI intelligence through one endpoint while reducing single-vendor dependency and improving performance on complex multi-step workflows.Starting Price: $20/month -
27
Sendmux
Sendmux
Sendmux gives AI agents their own inbox and a controlled way to send email. Each agent can receive messages, read threads, handle attachments, send replies, and react to new mail through signed webhooks or Server-Sent Events. Teams can send through Gmail OAuth, Outlook OAuth, SMTP providers, or managed Amazon SES. Sendmux can spread sending across providers with weighted routing, sender-domain routing, health checks, failover, and quotas by second, minute, hour, or day. Developers get Mailbox, Sending, and Management APIs, OpenAPI docs, SDKs, the sendmux CLI, MCP tools, and Sendmux Skills. The platform also covers tenant isolation, mailbox-scoped API keys, custom domains, logs, metrics, and usage-based pricing with no per-seat or per-mailbox fees.Starting Price: $0.15 per 1000 emails -
28
Scalekit
Scalekit
Scalekit is an authentication platform for AI agents that enables secure, user-delegated access to SaaS applications, APIs, databases, and MCP servers. Rather than relying on shared service accounts, Scalekit allows agents to perform actions on behalf of individual users using their own identities, permissions, and approved scopes. The platform manages OAuth flows, credential storage, authorization, token refresh, and tool execution behind the scenes, simplifying agent development. It includes over 100 connectors, support for custom integrations, and compatibility with popular AI frameworks. Scalekit also provides detailed auditing, encrypted credential storage, and enterprise deployment options for production environments. By handling the authentication and authorization infrastructure, Scalekit helps developers build secure AI agents that integrate with external systems at scale.Starting Price: $49/month -
29
Acti
Xyzer Technology Limited
Acti is the world’s first agentic keyboard; words in, actions out. It does not predict your next word; it takes your next action. Built around the Acti Bar, it turns every text field into an action layer, so you can type your intent anywhere, hold the bar, preview the result, and apply it without switching apps. Acti lives inside the keyboard across messages, email, notes, browsers, and anywhere there is a text field, letting the agent understand what you mean and complete the task right where you are typing. It can find and share a restaurant card, drop a live map link into a message, create a meeting link, pull a Notion doc, draft a reply, summarize text, translate copied content, analyze message tone, check sports or stock context, and run workflows from the keyboard. The loop is simple: type what you need in plain language, hold the Acti Bar, preview the link, reply, summary, or workflow result, then tap to insert, send, open, or adjust it.Starting Price: Free -
30
AgentKey
AgentKey
AgentKey connects your AI agents to the world with one key for the external data they need to do real work. Your agent may know what to do, but to actually do it, they need to find the right API, get the right access, and handle every service. AgentKey handles that layer so the agent can search widely, read pages, pull social takes, and add finance, ecommerce, business, crypto, or on-chain context in one pass. Built for Claude Code, Codex, Cursor, Windsurf, Gemini CLI, OpenClaw, Hermes, Antigravity, Warp, and any platform that supports MCP or Skills files, AgentKey gives agents access to search, scraping, social media, finance, ecommerce, cryptocurrency, and business data without forcing users to juggle separate provider dashboards. Search routes include services like Brave Search, Tavily, Serper, Perplexity, Parallel, and Exa, while scraping routes use tools such as Firecrawl, Jina, and Bright Data to turn web pages into usable content.Starting Price: $9.90 per month
