Best AI Agent Builders Software - Page 36

MaxContact

Make every conversation count – for acquisition, retention & recovery. MaxContact is the AI-powered customer engagement software that helps you turn every customer conversation into a high-impact, revenue-driving moment. We empower your teams to connect smarter, perform better, and scale faster - without losing the human touch. Our cloud-based contact centre platform delivers three core benefits: Revenue-driving performance everywhere it matters. Give your team the power to turn conversations into outcomes with AI automation and insights, intelligent targeting, and predictive dialling that drive scalable revenue. MaxContact helps your agents perform at their best with smarter targeting, automation tools, and AI insights. Move beyond gut feel and make performance scalable with results you can repeat. Our customers achieve 200-300% increases in contact rates, campaign conversion rates that double, and team productivity improvements of +25%. We're so confident in these results that we guarantee measurable performance improvements with the MaxContact Performance Promise. CX that fuels growth. Create customer experiences that boost loyalty, increase conversion, and drive long-term value. Better experiences build better business outcomes, turning service into a revenue stream. Our omnichannel features - covering SMS, WhatsApp, email, web chat, and social - ensures every interaction becomes a value-creating moment. With AI agents handling routine tasks and speech analytics providing intelligence, your team focuses on high-impact customer conversations. Scale with confidence, not compromise. Handle more with less without losing the human touch. Automate intelligently, reduce cost-to-serve, and scale confidently even as volumes rise. Our AI works alongside your team - AI does the heavy lifting while your team focuses on what matters most. From automated dialling to intelligent targeting and AI call summaries, MaxContact future-proofs your operations. What can it do for you? • Drive revenue-driving performance with automated dialling and intelligent targeting • Elevate CX as a commercial lever with omnichannel engagement and AI-powered insights • Scale efficiently with inbound and outbound AI agents that handle the heavy lifting • Ensure OFCOM, GDPR & PCI compliance and security across all customer interactions • Transform operations with real-time dashboards, reporting, conversation intelligence and business insights. You're backed by industry experts & 5-star UK-based support. Ready to make every conversation count? Get in touch to find out more - info@maxcontact.com

Average Rating: 4.6/5.0

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Mebos

Medfuel AI

Medfuel AI is an autonomous revenue cycle platform designed to enhance healthcare organizations' financial performance by deploying intelligent agents that prevent claim denials, accelerate accounts receivable timelines, and increase net collections without the need to replace existing systems. Key Features and Functionality: - Eligibility Agent: Validates patient coverage in real time across over 1,500 payers, ensuring accurate verification before patient encounters. - Authorization Agent: Automatically detects authorization requirements, compiles necessary clinical documentation, and submits prior authorizations to payers, reducing turnaround times by 45%. - Coding Integrity Agent: Audits CPT, ICD-10, and modifier accuracy prior to claim submission, achieving over 98% first-pass accuracy and minimizing coding-related denials. - Submission Agent: Routes claims through optimal clearinghouse paths, ensuring timely filing and correct EDI formatting. - Denial Recovery Agent: Identifies denial root causes, generates payer-specific appeal letters with clinical evidence, and tracks resolutions with 98% appeal accuracy. - Payment Posting Agent: Reconciles ERA/EOB data, posts payments automatically, and flags underpayments and contractual variances instantly. Primary Value and User Solutions: Medfuel AI addresses the growing issue of healthcare revenue leakage caused by preventable claim errors, delayed authorizations, and manual processes that struggle to keep up with complex payer policies. By integrating seamlessly with existing Electronic Health Records (EHR) and practice management systems, Medfuel AI provides real-time metrics and predictive analytics, enabling healthcare organizations to monitor every claim and payer interaction from a single intelligent dashboard. This proactive approach leads to a 75% reduction in administrative time, a 40% increase in revenue, and an 80% decrease in denials, delivering measurable financial improvements within the first 90 days of implementation.

Meko

Meko is an agent-native data infrastructure, built on top of YugabyteDB, that enables multi-agent systems to share context. Instead of giving each agent its own isolated memory, Meko gives your entire system a memory that compounds. When one agent learns something from a conversation, a user interaction, or a data update, that learning is immediately available to every other agent in the system. Meko replaces the patchwork many teams have bolted together over time (Postgres here, pgvector there, a separate graph database for memory, an object store for conversations, an observability layer for traces) with a single unified data layer. Vector, relational data, graph, and search all live in a single distributed, Postgres-compatible database, exposed to any agentic framework via a single MCP endpoint. It works with Claude, Cursor, and Codex today, with more frameworks on the way. What Makes Meko Different? Compounding memory: One agent’s learning instantly becomes a system-wide advantage. Meko handles entity extraction, graph updates, and per-agent scoping automatically. Shared knowledge: Conversations, real-time data feeds, SQL tables, and documents are continuously processed into one knowledge layer that every agent can access and contribute to. Decision tracing and complete auditability: Every retrieval, memory update, and knowledge share is traced end to end, so you can see exactly what your system knows, how it came to know it, and what that learning cost in tokens and latency. Any agentic framework: Meko connects to any agentic framework, chat app, or coding harness via a single remote MCP endpoint and runs on a distributed, serverless hosted service for cost-controlled scaling and no extras to stitch together. Cost efficiency: Without shared memory, multi-agent systems can burn many more tokens than a standard chat interaction. Most of that is pure coordination overhead: agents re-fetching what a teammate already retrieved, and re-explaining context that should simply be shared state. Meko eliminates that redundancy at the infrastructure level. Because retrieval, embedding, and indexing all run server-side, none of it consumes your agents’ context windows, and once one agent learns something, no other agent has to spend tokens re-deriving it. Explore the agent-native data infrastructure for collective memory, shared knowledge, and decision traces. https://mekodata.ai/

Melaya Agents

Melaya is a platform for building and running AI agents across business tools, browsers and Android apps, with six connected products: - Melaya Agents: A visual builder for workflows and multi-agent teams. Combines models, tools, memory, schedules and approval steps in replayable runs. - Melaya Assistant: One conversational workspace for working across connected business systems, using approved tools and shared context. - Melaya Device Control: AI agents that operate real Android apps through accessibility, without root or a dedicated API integration. - Melaya Browser Control: Agents that navigate and act inside your browser, with selected tabs, site permissions, live observation and manual takeover. - Melaya MCP Server: Gives existing AI assistants including Claude, ChatGPT and Cursor, access to Melaya’s tools, browser control, mobile agents and workflows through one connection. - Melaya Marketing: A unified suite for AI SEO audits, backlink building, advertising, analytics and a marketing copilot that works with your connected accounts. Shared USPs: Bring your own cloud or local AI through 28 providers; combine 7,000+ tools and 150+ templates; automate across APIs, browsers and phones; control consequential actions through configurable approvals; inspect execution history through compliant tool call audits and evaluation systems; Use cases: - Automating multi-step web workflows with a governed browser extension - Running multi-agent crews with human-in-the-loop approval before consequential actions - AI SEO audits, agentic backlink building and cross-platform ads from one marketing copilot - Give your CLI access to your browser or phone for QA testing - Automating repetitive mobile apps workflows through mobile agents The future of software will be running AI agents, without a provider lock-in and using open-weight models. We are building the toolset to enable humans and enterprises to automate their business.

MemMachine

MemMachine is an open-source memory layer designed to enhance AI agents by enabling them to learn, store, and recall information across multiple sessions. This capability allows AI applications to deliver personalized, context-aware interactions, transforming generic chatbots into intelligent assistants that understand and adapt to user preferences over time. Key Features and Functionality: - Persistent Memory: MemMachine maintains memory across sessions, agents, and large language models (LLMs), building evolving user profiles that enrich future interactions. - Multi-Layered Memory Architecture: It integrates short-term (episodic), long-term (profile), and personalization memory, allowing agents to retain conversational context, user preferences, and procedural knowledge. - Model-Agnostic Integration: MemMachine supports various AI models, including OpenAI, AWS Bedrock, and Ollama, through its MCP server capability, ensuring flexibility and avoiding vendor lock-in. - Flexible Deployment: Users can deploy MemMachine locally, in the cloud, or install it via pip, maintaining full control over their data and ensuring compliance with security standards. - Open-Source Community Support: With comprehensive documentation and an active community, developers can easily integrate MemMachine into their applications and contribute to its ongoing development. Primary Value and User Solutions: MemMachine addresses the common limitation of "stateless amnesia" in AI agents, where they fail to retain information between interactions. By providing a persistent memory layer, it enables AI agents to: - Deliver True Personalization: Agents can remember key facts about users, such as preferences and history, leading to tailored responses that build trust and long-term engagement. - Manage Complex Workflows: With memory capabilities, agents can handle intricate, long-running tasks that require recalling previous steps, user feedback, and evolving goals, enhancing automation in areas like CRM management and healthcare support. - Enhance Contextual Understanding: By retaining and recalling information across sessions, agents can understand the full context of conversations, resulting in more relevant, intelligent, and human-like interactions. In summary, MemMachine empowers AI agents to move beyond simple question-and-answer interactions, enabling them to learn from past experiences, adapt to individual users, and manage complex tasks with a high degree of personalization and context awareness.

Memori

Memori is agent-native memory infrastructure: an LLM-agnostic layer that turns agent execution and conversation into structured, persistent state built for enterprise production systems. Memori is not just a conversational memory wrapper or vector retrieval layer. It structures memory directly from agent execution and trace data, turning tool calls, decisions, and workflow history into persistent state. This is particularly important in production systems, where natural language alone does not capture the full context required for reliable multi-step execution.

Mengram

Mengram is an open-source AI memory API designed to provide artificial intelligence agents with human-like memory capabilities. By integrating semantic (facts and preferences), episodic (events and discussions), and procedural (workflows and processes) memory types, Mengram enables AI systems to remember facts, recall past events, and learn complex workflows across different sessions and platforms. This comprehensive memory architecture allows AI agents to deliver more personalized and context-aware interactions, enhancing their efficiency and effectiveness. Key Features and Functionality: - Three-Layer Memory Architecture: Mengram categorizes data into semantic, episodic, and procedural memory, ensuring AI agents understand not just the information but also the context and processes associated with it. - Instant Cognitive Profiles: With a single API call, Mengram generates a "Cognitive Profile," synthesizing all three memory types into a ready-to-use system prompt. This facilitates deep personalization without the need for complex retrieval-augmented generation (RAG) pipelines. - Experience-Driven Procedural Learning: Mengram tracks the success rates of specific procedures, allowing AI agents to prioritize proven workflows and automatically evolve processes based on past performance. - Unified Search & Knowledge Graph: The API enables simultaneous searches across all memory types using a combination of vector search, BM25, and graph expansion, providing a comprehensive representation of user data. - Seamless Framework Integrations: Mengram offers support for major AI ecosystems, including LangChain, CrewAI, and OpenClaw, and features an MCP server for instant persistent memory in platforms like Claude Desktop, Cursor, and Windsurf. Primary Value and User Solutions: Mengram addresses the challenge of "agent amnesia," where AI systems forget previous interactions and learned procedures between sessions. By providing persistent memory, Mengram empowers AI agents to: - Enhance Personalization: Remember user preferences and past interactions, leading to more tailored and relevant responses. - Improve Efficiency: Recall successful workflows and avoid past mistakes, reducing the need to relearn procedures and decreasing task completion times. - Foster Autonomy: Learn from experiences, adapt to new information, and proactively suggest improvements, thereby increasing their autonomy and reliability. By integrating Mengram, developers can create AI agents that not only process information but also learn and evolve over time, delivering more intelligent and user-centric solutions.

MetAI

Metal

Metal is the context layer for private equity and private credit, located in New York. It structures your firm's deals, companies, and decisions into one knowledge graph, capturing not just the data but the judgment behind it. On top of it, Metal runs traceable workflows and live deal intelligence from sourcing to exit. It doesn't replace the AI you already use. Through an open API and native MCP, it makes your AI knows your firm.

Metis

Metis is an applied-research and product lab dedicated to enhancing the reliability of enterprise agents through proprietary intelligence. Their flagship product, Insight, transforms a company's first-party data, tools, and environments into a continuously learning agent stack. By leveraging real-world data, Insight enables agents to adapt and improve over time, ensuring they can handle complex, multi-step workflows with higher reliability and throughput. This approach addresses the limitations of static software and generic models, providing a robust solution for businesses seeking dependable automation at scale. Key Features and Functionality: - Learns from Your Reality: Insight utilizes a company's unique data, tools, and environments to tailor agent capabilities, ensuring relevance and effectiveness. - Improves Through Practice: By generating training signals and implementing offline and online reinforcement learning, Insight enables agents to enhance their performance continuously. - Validates Before Production: The platform evaluates agents against real tasks, ensuring they select appropriate tools, maintain context, and successfully complete complex workflows before deployment. Primary Value and Problem Solved: Metis addresses the challenges of brittle agents, endless pilot programs, and low trust in automation by providing a learning and evaluation layer that makes agentic computing dependable at scale. By enabling agents to learn from every interaction while remaining observable, auditable, and safe, Metis empowers businesses to implement reliable and efficient autonomous systems, fostering greater trust and adoption of automation technologies.

Microsoft Foundry

Microsoft Foundry is a unified platform to build, ground, and govern AI apps and agents that understand your business context. It brings together the full agent lifecycle with open development, built-in intelligence, and consistent security, compliance, and policy controls across every agent.

Minded

Minded is the AI agent platform trained by recording how you work. Record your workflow once and Minded's agents watch every click, copy-paste and decision, then replicate the process across your SaaS stack on autopilot. No code, no brittle RPA scripts, no prompt engineering. Finance teams automate month-end close, bank reconciliation, invoice processing, AP/AR and financial reporting across QuickBooks, NetSuite and Xero. Marketing automates campaign reporting, lead enrichment, competitor research, SEO audits and content ops. HR automates onboarding, offboarding, payroll prep and recruiting outreach. Sales and RevOps automate pipeline updates, account research and CRM hygiene. Support and operations automate ticket triage, data entry and cross-system reconciliation. Works on any browser app - Salesforce, HubSpot, Workday, Zendesk, Jira, Google Workspace, Slack, Notion. Human-in-the-loop controls, full audit trail, SOC 2 Type II and GDPR compliant. Trusted by teams at Y Combinator, DoorDash, eToro, Deloitte and Just Eat.

Mingleego

Mingleego lets you build a single AI assistant and put it to work across every channel your customers use — a web chat widget plus Telegram, WhatsApp, Slack, Discord, Instagram and Facebook Messenger — all from one dashboard. Train it on your own content (docs, PDFs, CSVs) and it answers with citations, not guesses. Connect Google Calendar, Gmail, Outlook, Shopify, eBay and HubSpot so it can take real actions. 8 GPT models, 50+ languages, no code. Start free with $2 credit — no card required.