Best AI Agent Builders Software - Page 22

Codebolt

Codebolt is an advanced AI engine designed to empower developers in building, deploying, and managing autonomous software agents across various environments, including local machines, cloud platforms, and distributed systems. Unlike traditional AI tools that focus on singular tasks, Codebolt provides a comprehensive execution environment where agents, plugins, and applications operate seamlessly, enabling the creation of agent-native software that can run, improve, distribute, and compose itself. Key Features and Functionality: - Comprehensive Development Tools: Codebolt offers a suite of tools, including a desktop IDE, command-line interface (CLI), and cloud-based platforms, allowing developers to build and manage agents in their preferred environment. - Extensible SDKs: With over 63 modules in the Agent SDK, developers have full control over prompts, tools, memory, and routing, facilitating the creation of custom agents tailored to specific needs. - Multi-Agent Coordination: The engine supports the orchestration of multiple agents through features like stigmergy, deliberation councils, and review-merge systems, enabling complex workflows and collaborative agent interactions. - Autonomous Operation: Codebolt allows agents to operate autonomously with proactive scheduling, persistent memory, and integration with existing business tools, supporting continuous operation without human intervention. - Cross-Environment Scalability: The platform enables seamless execution across different environments, including local machines, cloud services, and distributed systems, ensuring flexibility and scalability in deployment. Primary Value and User Solutions: Codebolt addresses the limitations of traditional AI tools by providing a unified engine capable of handling the full lifecycle of agent development and deployment. It empowers developers to create intelligent, autonomous agents that can manage complex tasks, coordinate with other agents, and operate across diverse environments. This capability reduces the need for manual intervention, enhances productivity, and enables the development of sophisticated, self-improving software systems.

CodeComply

CodeWords

CodeWords is an AI-powered workflow automation platform. Teams describe their workflow in natural language, and CodeWords builds the automation for you, without drag-and-drop. With automatic building, testing, and deploying, CodeWords enables everyone (from non-technical users to developers) to build complex automations with zero technical effort. At the core of CodeWords is Cody, a conversational AI assistant that works with you to build your workflow automation. Users describe the tasks they want to automate, and Cody generates the workflow logic automatically. With Cody, you can ideate on your workflow automation, iterate and create different versions, and easily customize existing workflow automations, all simply by asking. Key benefits and use cases Natural language automation: Build and deploy workflows by describing the desired outcome — no programming required. 2,700+ integrations: Connect with all your other tools in just a couple of clicks, without any complex or technical configuration. Some of our most popular integrations include Notion, Slack, Webflow, Lovable, ElevenLabs, WhatsApp, and Gmail. Low-code customization: For users with programming knowledge, you can access the code base so you still have all the detail you need. Flexible deployment: CodeWords adapts to your use case. You can use it to automate tasks across marketing, operations, IT, customer support, data processing, and more from simple routines to complex business processes. Scalable team collaboration: Share workflows internally or externally, build on reusable templates, and adapt automations across departments or teams. Template Gallery: Start with one of our pre-built automation templates from the gallery, easily click-to-customize them, or build your own by chatting with Cody. Ideal For - Founders and small teams who want to reduce manual, repetitive work, but who don't have the time or resource to do so with traditionally more technical automation tools. - Solopreneurs who want to cut time and costs without losing flexibility, autonomy, or requiring technical expertise. - Growth teams who want to move fast without relying on engineering. - Operations teams who want to feel empowered to automate business systems internally. - Users who want to scale side projects but might be more used to vibe coding and want a flexible and fast tool.

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CogentAI

CogentAI is an enterprise-grade AI platform designed to integrate seamlessly into existing workflows, providing secure, customized, and efficient automation solutions. Unlike generic AI copilots, CogentAI offers purpose-built agents that understand specific organizational processes, adhere to established guardrails, and are fine-tuned for unique workflows. The platform can be deployed on-premises, in private clouds, or in hybrid environments, ensuring data sovereignty and compliance with industry standards. Key Features and Functionality: - Agent Layer: Deploys AI agents tailored to organizational KPIs, automating decision-making and streamlining workflows with context and precision. - Optimization Layer: Utilizes LLM-agnostic orchestration to transform general models into domain-specific agents, leveraging enterprise knowledge and context for secure, scalable intelligence. - Data Layer: Operates where data resides—on-premises, private cloud, or air-gapped environments—without duplicating or exposing it, maintaining full compliance and control. - Integration Capabilities: Works within existing tools such as ERP, CRM, emails, and documents, allowing agents to perform tasks without disrupting current systems. - Security and Compliance: Features zero-trust architecture with built-in IAM, RLS, SSO, and audit controls, meeting enterprise-grade compliance for ISO, HIPAA, GDPR, and more. Primary Value and Problem Solving: CogentAI addresses the limitations of generic AI solutions by offering customizable agents that align with specific organizational processes and security requirements. By integrating directly into existing workflows and respecting data boundaries, it enhances operational efficiency without compromising data integrity. The platform's flexible deployment options and robust security measures ensure that enterprises can leverage AI capabilities while maintaining full control over their data and compliance obligations.

CogniAgent

CogniAgent is a no-code AI agent platform for business. Your agents talk across 8 channels and act across 2,700+ systems. Mid-conversation, your agent checks order status or an open calendar slot, updates the CRM record, and confirms the booking, so customers get an answer instead of a promised callback. Setup is simple: start from a ready-made template, or describe the agent in plain words and the AI Concierge builds it, with no developer needed. Free to start, with no monthly fee and no commitment. Agents run on three technologies. Conversational AI agents hold natural, multi-turn dialogue on voice, SMS, WhatsApp, web chat, Gmail, Outlook, Slack, and Microsoft Teams to qualify leads, answer questions, and collect details. Autonomous AI agents work in the background on events, schedules, or thresholds and complete multi-step tasks across connected systems. Cognitive AI agents unite the two: they talk and act in the same exchange, for example screening a job applicant and booking the interview, or qualifying a lead and sending the quote, while the person is still in the conversation. When a case needs a person, the agent hands it over with the full context. Common agents include lead qualification and follow-up, appointment booking, customer support and order status, candidate screening and interview booking, HR onboarding, and invoice checks. Agents read and write live data in CRM, scheduling, ERP, helpdesk, and ATS apps, with native Google Sheets and Slack connections. Free to start, no credit card needed. Pay as you go. No monthly subscription.

Cognition Labs' Devin

Devin, developed by Cognition Labs, is an autonomous AI software engineer designed to independently handle complex software development tasks. Operating within a cloud-based sandbox environment equipped with a browser, terminal, code editor, and shell, Devin can plan, code, test, and deploy applications with minimal human intervention. Key Features and Functionality: - Autonomous Task Execution: Devin can independently plan and execute software development tasks, including writing code, running tests, debugging, and deploying applications. - Seamless Integrations: It integrates with popular tools such as Slack, Microsoft Teams, Linear, Jira, GitHub, GitLab, and Bitbucket, facilitating smooth task delegation and collaboration. - API Access: The Devin API allows for programmatic invocation, enabling integration into continuous integration (CI) pipelines for automated fixes and bulk refactoring across multiple repositories. - Advanced Capabilities: Features like DeepWiki for repository indexing and Devin Review for pull request assessments enhance codebase understanding and review processes. - Enterprise-Grade Compliance: Devin adheres to compliance standards including SOC 2 Type 2 and ISO 27001:2022, ensuring secure and reliable operations. Primary Value and Problem Solving: Devin addresses the challenge of resource-intensive software development by automating routine and complex engineering tasks. This automation allows human engineers to focus on more strategic and creative aspects of development, thereby increasing overall productivity and efficiency. By integrating seamlessly with existing tools and workflows, Devin enhances collaboration and streamlines the development process, making it a valuable asset for engineering teams aiming to achieve ambitious goals.

CogStorm

CogStorm is an open-source developer platform designed to streamline the building, deployment, and governance of multi-agent AI systems. Addressing the challenge that 89% of AI agent projects fail to reach production, CogStorm offers a comprehensive solution to bridge this gap. Key Features and Functionality: - Agent Studio: A visual, drag-and-drop workflow designer equipped with over 50 production-ready templates, facilitating rapid development of AI agents. - CogStorm Core: An open-source SDK supporting Python and TypeScript, compatible with over 100 models, and designed for command-line interface (CLI) operations. - Deploy: Enables one-command deployment with auto-scaling capabilities ranging from 2 to over 50 instances, supporting multi-region deployments. - Observability: Provides comprehensive monitoring tools, including traces, cost analysis, success rates, and token usage, all accessible through a unified dashboard. - Shield: Offers enterprise-grade governance and compliance features such as SOC 2, HIPAA compliance, audit trails, role-based access control (RBAC), and behavioral guardrails. Primary Value and User Solutions: CogStorm addresses the high failure rate of AI agent projects by offering an integrated platform that combines design, coding, deployment, monitoring, and governance. By providing tools like Agent Studio and CogStorm Core, developers can efficiently create and manage AI agents. The Deploy feature ensures seamless scaling and deployment, while Observability and Shield offer critical insights and compliance measures. This holistic approach significantly reduces the time and resources required to transition AI agent projects from prototype to production, enhancing success rates and operational efficiency.

Coldtea.ai

Compostable AI

Compostable AI is a unified B2B SaaS platform that allows vehicle brokers to instantly compare multi-funder quotes, track live vehicle stock, and automate complex Salary Sacrifice calculations. It eliminates the "portal fatigue" of logging into multiple funder networks like Lex Autolease, Ayvens, Arval, and Novuna. With Compostable, brokers execute a single search to receive instant, side-by-side quote comparisons. The platform features an automated quoting engine that handles complex Benefit-in-Kind (BIK) tax and National Insurance calculations for Salary Sacrifice schemes, reducing average quoting time by 85%.

Concorda

Concourse

ConnexAI

Connic

Connic is an AI agent deployment platform that enables developers to build, deploy, and manage production AI agents without infrastructure expertise. It provides a managed runtime environment where teams define agents declaratively using YAML configuration files, write custom tools as standard Python functions, and deploy through a Git-based workflow that handles scaling, monitoring, and integrations automatically. Connic is designed for software engineering teams and SaaS companies that need to move AI agents from prototype to production. Typical users include backend developers building AI-powered features into existing products, DevOps teams looking to avoid the complexity of self-hosting agent infrastructure, and product teams deploying customer-facing AI workflows such as support automation, document processing, or data enrichment. The platform addresses a common bottleneck in AI agent development: the gap between a working prototype and a production-grade system. Running agents at scale requires isolated execution environments, concurrency control, retry logic, observability, and integrations with external systems. Connic handles these concerns so developers can focus on agent logic rather than infrastructure. Key capabilities include: - Declarative agent configuration: Agents are defined in YAML with support for LLM agents, sequential pipelines, and tool-calling agents. Custom tools are written as typed Python functions. The Composer SDK validates configurations locally before deployment. - Git-based deployment: Pushing to a connected Git repository triggers automatic builds and versioned deployments. Every deployment supports instant rollback. A CLI alternative is available for teams not using Git integrations. - Enterprise connectors: 12 built-in connectors bridge agents to external systems, including webhooks, cron schedules, Apache Kafka, Amazon SQS, Amazon S3, PostgreSQL (via LISTEN/NOTIFY), WebSockets, MCP (Model Context Protocol), email (IMAP), Stripe, and Telegram. Connectors can be inbound (triggering agents), outbound (delivering results), or synchronous (request-response). - Built-in observability: Every agent run is recorded with full execution traces, token usage tracking, latency metrics, and cost breakdowns. Custom dashboards allow teams to monitor agent performance across deployments and environments. - Knowledge base and managed database: Agents can query uploaded documents via semantic search for retrieval-augmented generation (RAG), or use a managed relational database for persistent state and structured data storage. Connic supports all major LLM providers, including OpenAI, Anthropic, Google, and others, using the team's own API keys. Additional platform features include guardrails for real-time input/output filtering, human-in-the-loop approval workflows for sensitive agent actions, A/B testing with traffic splitting, and automated evaluation using LLM-based judges. The platform offers a free tier with no credit card required, along with paid plans starting at $390 per month. Pricing is based on agent run time (minutes) and number of runs, with pay-per-use billing beyond included limits. Connic is available in 10 deployment regions and provides SOC 2 security practices, a data processing agreement, and EU AI Act compliance documentation.

Connovo

ContactSwing

ContactSwing empowers businesses of all sizes to automate voice conversations with sophisticated, natural-sounding AI agents that behave like humans. From lead qualification and appointment booking to customer support and after-hours engagement, ContactSwing’s voice AI works around the clock so no call or opportunity is missed. Key Features & Capabilities No-code setup & fast deployment: Build your voice agent workflows in minutes without engineering resources. Natural, human-like conversations: Uses advanced NLP, intent detection, sentiment analysis, and optional voice cloning to deliver conversations that feel real. Full call lifecycle handling: Answer inbound calls, route or escalate as needed, make outbound calls for follow-ups, and send follow-up SMS or emails. Seamless integrations: Works with CRMs, helpdesk systems, scheduling tools, and more via API & built-in connectors. Industry-tailored use cases: Real estate, healthcare staffing, clinics, restaurants, car dealerships, recruitment, IT staffing all supported with domain-aware conversational flows. Analytics & optimization: Call recording, transcription, sentiment scoring, metrics dashboards to continually improve performance. Scalable & reliable: Supports concurrent calls, intelligent routing, and dynamic scaling. Compliance & security: Enterprise-level encryption, GDPR compliance, and secure data handling. Benefits & Outcomes Never miss a call or lead: Every inbound call is answered instantly, ensuring prospects are engaged immediately. Reduced response times & converted leads: Automates follow-ups and lead nurturing, converting more conversations into meetings or actions Lower operational costs: Replace or supplement human agents for routine calls, without sacrificing quality. Consistency & brand voice: AI calls remain consistent in tone and messaging, aligned with your brand. Actionable insights: Use conversation data to identify patterns, optimize scripts, and refine your customer interactions.