Alternatives to SimpliflowAI
Compare SimpliflowAI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to SimpliflowAI in 2026. Compare features, ratings, user reviews, pricing, and more from SimpliflowAI competitors and alternatives in order to make an informed decision for your business.
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Reins
Reins
Reins is a global mobility payments and orchestration platform powering end-to-end payment programs across fuel, EV charging, parking, and tolls. We serve fuel retailers, fleet operators, mobility providers, and payment players through a single unified layer that supports both closed-loop and open-loop models. Reins is also the gateway for banks, fintech, and digital payment providers entering the mobility space. We enable them to extend existing card programs into fully governed mobility and fleet solutions, connect to acceptance networks, and manage complex payment flows with real-time control, risk management, and full settlement visibility, without building mobility infrastructure from scratch. Built on a three-layer architecture, Reins combines API-first infrastructure, advanced payment control, and commercial growth tools, including loyalty, pricing, segmentation, and partner management. The result: faster scaling, better control, and turning payments into a growth engine. -
2
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) -
3
Peta
Peta
Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.Starting Price: Free -
4
doteval
doteval
doteval is an AI-assisted evaluation workspace that simplifies the creation of high-signal evaluations, alignment of LLM judges, and definition of rewards for reinforcement learning, all within a single platform. It offers a Cursor-like experience to edit evaluations-as-code against a YAML schema, enabling users to version evaluations across checkpoints, replace manual effort with AI-generated diffs, and compare evaluation runs on tight execution loops to align them with proprietary data. doteval supports the specification of fine-grained rubrics and aligned graders, facilitating rapid iteration and high-quality evaluation datasets. Users can confidently determine model upgrades or prompt improvements and export specifications for reinforcement learning training. It is designed to accelerate the evaluation and reward creation process by 10 to 100 times, making it a valuable tool for frontier AI teams benchmarking complex model tasks. -
5
MintMCP
MintMCP
MintMCP is an enterprise-grade Model Context Protocol (MCP) gateway and governance platform that provides centralized security, observability, authentication, and compliance controls for AI tools and agents connecting to internal data, systems, and services. It lets organizations deploy, monitor, and govern MCP infrastructure at scale, giving real-time visibility into every MCP tool call, enforcing role-based access control and enterprise authentication, and maintaining complete audit trails that meet regulatory and compliance needs. Built as a proxy gateway, MintMCP consolidates connections from AI assistants like ChatGPT, Claude, Cursor, and others to MCP servers and tools, enabling unified monitoring, blocking of risky behavior, secure credential management, and fine-grained policy enforcement without requiring each tool to implement security individually. -
6
Obot MCP Gateway
Obot
Obot is an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway that gives organizations a centralized control plane for discovering, onboarding, managing, securing, and scaling MCP servers, services that connect large language models and AI agents to enterprise systems, tools, and data. It bundles an MCP gateway, catalog, admin console, and optional built-in chat interface into a modern interface that integrates with identity providers (e.g., Okta, Google, GitHub) to enforce access control, authentication, and governance policies across MCP endpoints, ensuring secure, compliant AI interactions. Obot lets IT teams host local or remote MCP servers, proxy access through a secure gateway, define fine-grained user permissions, log and audit usage, and generate connection URLs for LLM clients such as Claude Desktop, Cursor, VS Code, or custom agents.Starting Price: Free -
7
LoopIQ
LoopIQ
LoopIQ is an AI-powered software development lifecycle (SDLC) platform designed to unify development, compliance, and project management in a single workspace. It integrates multiple modules such as project management, test management, knowledge management, and IT service management into one connected system. The platform automates compliance by capturing audit-ready evidence as work happens, eliminating the need for manual documentation. LoopIQ uses agentic AI to orchestrate tasks, approvals, and workflows, helping teams move faster with less friction. It provides traceability across the entire development process, linking decisions, tests, and releases to clear audit trails. Built-in time tracking and ticket management reduce the need for separate tools and context switching. The platform ensures continuous compliance by embedding evidence collection into every stage of development. Overall, LoopIQ helps engineering teams streamline workflows while staying audit-ready at all times.Starting Price: $0 -
8
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 -
9
Gate22
ACI.dev
Gate22 is an enterprise-grade AI governance and MCP (Model Context Protocol) control platform that centralizes, secures, and observes how AI tools and agents access and use MCP servers across an organization. It lets administrators onboard, configure, and manage both external and internal MCP servers with fine-grained, function-level permissions, team-based access control, and role-based policies so that only approved tools and functions can be used by specific teams or users. Gate22 provides a unified MCP endpoint that bundles multiple MCP servers into a simplified interface with just two core functions, so developers and AI clients consume fewer tokens and avoid context overload while maintaining high accuracy and security. The admin view offers a governance dashboard to monitor usage patterns, maintain compliance, and enforce least-privilege access, while the member view gives streamlined, secure access to authorized MCP bundles.Starting Price: Free -
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Tailor
Tailor
Tailor is a headless, low-code ERP platform designed to help businesses build custom backend solutions quickly and efficiently. It offers modular applications which can be customized to fit specific business needs. Tailor's open API-first design allows seamless integration with tools like Shopify, ShipStation, Loop, and QuickBooks, ensuring unified operations. It enables instant API creation from schemas, supports business logic implementation through pipelines and functions, and simplifies workflow management with features like event triggers and state machines. Tailor's architecture separates backend data processing from the frontend interface, providing unparalleled flexibility and scalability. This approach allows businesses to tailor their ERP systems to unique processes and requirements without being constrained by traditional software limitations. -
11
Golf
Golf
GolfMCP is an open source framework designed to streamline the creation and deployment of production-ready Model Context Protocol (MCP) servers, enabling organizations to build secure, scalable AI-agent infrastructure without worrying about boilerplate. It allows developers to define tools, prompts, and resources as simple Python files, after which Golf handles routing, authentication, telemetry, and observability, so you focus on logic, not plumbing. The platform supports enterprise authentication (JWT, OAuth Server, API key), automatic telemetry, and a file-based structure that eliminates decorators or manual schema wiring. With built-in utilities for LLM interactions, error logging, OpenTelemetry integration, and deployment tools (such as a CLI with golf init, golf build dev, golf run), Golf provides a full stack for agent-native services. Included also is the Golf Firewall, an enterprise-grade security layer for MCP servers that enforces token validation.Starting Price: Free -
12
SchemaFlow
SchemaFlow
SchemaFlow is a powerful tool designed to enhance AI-powered development by providing real-time access to your PostgreSQL database schema through the Model Context Protocol (MCP). It allows developers to connect their databases, visualize schema structures with interactive diagrams, and export schemas in various formats such as JSON, Markdown, SQL, and Mermaid. With native MCP support via Server-Sent Events (SSE), SchemaFlow enables seamless integration with AI-Integrated Development Environments (AI-IDEs) like Cursor, Windsurf, and VS Code, ensuring that AI assistants have up-to-date schema information for accurate code generation. It offers secure token-based authentication for MCP connections, automatic schema synchronization to keep AI assistants informed of any changes, and a schema browser for easy navigation of tables and relationships. -
13
Contextual AI
Contextual AI
The Contextual AI Platform is an enterprise-grade solution designed to help teams build AI agents that reduce hours of technical work to just minutes. It brings together state-of-the-art context engineering tools, enterprise data management, and production-ready security in one unified platform. With Agent Composer, users can define and configure specialized AI agents using natural language prompts, visual editors, or pre-built templates. The platform supports continuous ingestion and extraction from massive knowledge bases, transforming unstructured enterprise data into actionable intelligence. Contextual AI enables traceable reasoning, fine-grained attribution, and grounded outputs that users can trust. Its robust runtime ensures agents perform reliably at scale across complex document volumes. The platform is built to move organizations from experimentation to production quickly and confidently. -
14
Incerto
Incerto
Incerto is an AI-powered “Database Co-Pilot” that deeply understands your database environment and proactively manages operations, effectively reducing manual work and eliminating production bottlenecks. It continuously monitors for over 100 predefined issues, such as inefficient queries or cluster failures, and triggers verified solutions automatically through its context-aware AI agents before user impact. It enhances performance by detecting slow queries and optimizing them via a human-in-the-loop AI workflow tailored to specific DBMS architectures. Its “text-to-task” interface allows users to express tasks naturally, like migrating user data, analyzing performance anomalies, or generating queries, and the system intelligently interprets and executes them with full awareness of schema, workload, and infrastructure context. A feature-rich SQL editor offers AI assistance and smooth conversion from description to precise SQL commands.Starting Price: $149 per month -
15
Suparse
Suparse
Extract data from any PDF document or image to Excel instantly and accurately. Suparse automates document data extraction for finance, logistics, operations teams and more. Start fast with pre-trained models for invoices, receipts, bank statements, bills of lading, and more, or create custom parsers in seconds with an AI-assisted schema generator. Verify results with a human-in-the-loop review, enforce validation rules, and export unified results to Excel, CSV, JSON, or via API. Collaborate in a secure, GDPR-compliant workspace with multilingual OCR and handwriting support. Our competitive pricing scales with you—from hundreds to millions of documents.Starting Price: $19/month/250 pages -
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Bijira
WSO2
WSO2 Bijira is an AI-native, cloud-native SaaS API management platform built to manage the full lifecycle of APIs, including design, security, governance, deployment, and monitoring, across internal, external, egress, and AI-driven APIs in hybrid and multi-cloud environments. It provides a unified control plane for consistent API policy, security, and analytics while supporting visual API proxy mapping, drag-and-drop policy management, and a customizable developer portal to accelerate API adoption and reuse. Bijira leverages AI tools to help generate OpenAPI specs, test APIs using natural language prompts, validate compliance with governance rules, and feed insights back into the API development process. It integrates robust security mechanisms, including OAuth2, OIDC, fine-grained access control, and firewall protections, and enforces governance-as-code with AI-assisted policy validation. -
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DeepSeek Harness
DeepSeek
DeepSeek Harness is an open source agent harness designed to keep AI agents working in real-world environments by helping them understand context, use tools, and continue operating across complex tasks. Built on the Cordis plugin system, every capability is a plugin that can be selected, swapped, extended, or recomposed through configuration without changing the core source code. Plugins provide models, tools, skills, sessions, sandboxes, storage, loops, scheduling, and the UI, while Cordis manages plugin mounting, dependencies, services, and events. Every run is traceable through an append-only session log that records system prompts, reasoning, tool calls and results, subagent scheduling, and context injections. The Trajectory view lets developers inspect these records by source, while resume, fork, search, and replay operate on the same event stream. -
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Hyta
Hyta
Hyta is a platform designed to scale and operationalize AI post-training workflows by creating always-on pipelines of specialized human intelligence and tracking trusted contributions so model improvement is continuous rather than a one-off project. It unifies a community of domain specialists and machine-learning contributors to supply high-quality human signals that support long-horizon, domain-specific model training and reinforcement learning pipelines, with mechanisms to retain contributor trust and context across projects and models. It emphasizes reliable trajectories by tailoring pipelines to organizational and project demands, preserving verified contributions, and enabling persistent feedback that compounds capabilities across industries. Hyta connects contributors, labs, enterprises, and post-training teams in a broader ecosystem, allowing organizations to orchestrate human-in-the-loop workflows at scale and integrate human feedback into model development processes. -
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Summit
Summit
Summit is a low‑code platform for creating small programs called models that can be used inside your favorite workflow builders. It enables you to harness AI and unstructured data flowing through your automations. Summit’s low‑code toolbelt is built for the LLM era; it upgrades prompts by enriching them with real‑time, relevant context via its search engine, and delivers structured output like JSON that fits strict schemas. With a clear path to mastery, it offers a small but versatile set of building blocks so you spend less time learning docs and more time solving problems. Summit supports loops to cycle over lists, fetch paginated API data, and honor rate limits. Each model gets its own API and integrates with no‑code companions like Zapier, HubSpot, Make, Clay, or any tech stack (Python, PHP, Ruby, JavaScript). It promotes reusability and composability; models can call other models, so you can build once and reuse everywhere.Starting Price: $125 per month -
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Enable zero-trust access for all apps, legacy and modern, with highly scalable identity- and context-based access controls. Deploy zero-trust model validation based on granular context, securing every app access request. Secure access to apps with a fine-grained approach to user authentication and authorization that enables only per-request context- and identity-aware access. Integrating with existing SSO and identity federation solutions, users can access all their business apps via a single login, regardless of whether the app is SAML enabled or not. Enable social login to simplify access authorization from trusted third-party identity providers like Google, LinkedIn, Okta, Azure AD, and others. Leverage third-party UEBA and risk engines via REST APIs to inform policy-based access controls using the API connector for more layered security. BIG-IP APM is available in all business models including perpetual licenses, subscription, public cloud marketplace, and ELAs.
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21
Microsoft Agent Framework
Microsoft
Microsoft Agent Framework is an open source SDK and runtime designed to help developers build, orchestrate, and deploy AI agents and multi-agent workflows using languages such as .NET and Python. It combines the simple agent abstractions of AutoGen with the enterprise-grade capabilities of Semantic Kernel, including session-based state management, type safety, middleware, telemetry, and broad model and embedding support, creating a unified platform for both experimentation and production use. It introduces graph-based workflows that give developers explicit control over how multiple agents interact, execute tasks, and coordinate complex processes, enabling structured orchestration across sequential, concurrent, or branching scenarios. It supports long-running and human-in-the-loop workflows through robust state management, allowing agents to maintain context, reason through multi-step problems, and operate continuously over time.Starting Price: Free -
22
TruLens
TruLens
TruLens is an open-source Python library designed to systematically evaluate and track Large Language Model (LLM) applications. It provides fine-grained instrumentation, feedback functions, and a user interface to compare and iterate on app versions, facilitating rapid development and improvement of LLM-based applications. Programmatic tools that assess the quality of inputs, outputs, and intermediate results from LLM applications, enabling scalable evaluation. Fine-grained, stack-agnostic instrumentation and comprehensive evaluations help identify failure modes and systematically iterate to improve applications. An easy-to-use interface that allows developers to compare different versions of their applications, facilitating informed decision-making and optimization. TruLens supports various use cases, including question-answering, summarization, retrieval-augmented generation, and agent-based applications.Starting Price: Free -
23
Cedar
Amazon
Cedar is an open source policy language and evaluation engine developed by AWS to facilitate fine-grained access control in applications. It enables developers to define clear and concise authorization policies, decoupling access control from application logic. Cedar supports common authorization models, including role-based access control and attribute-based access control, allowing for expressive and analyzable policy definitions. Its design emphasizes readability and performance, ensuring that policies are both easy to understand and efficient to enforce. By integrating Cedar, applications can make precise authorization decisions, enhancing security and maintainability. The policy structure is designed to be indexed for quick retrieval and to support fast and scalable real-time evaluation, with bounded latency. It enables analyzer tools capable of optimizing your policies and proving that your security model is what you believe it is.Starting Price: Free -
24
ColBERT
Future Data Systems
ColBERT is a fast and accurate retrieval model, enabling scalable BERT-based search over large text collections in tens of milliseconds. It relies on fine-grained contextual late interaction: it encodes each passage into a matrix of token-level embeddings. At search time, it embeds every query into another matrix and efficiently finds passages that contextually match the query using scalable vector-similarity (MaxSim) operators. These rich interactions allow ColBERT to surpass the quality of single-vector representation models while scaling efficiently to large corpora. The toolkit includes components for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. ColBERT integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts.Starting Price: Free -
25
Hyperspell
Hyperspell
Hyperspell is an end-to-end memory and context layer for AI agents that lets you build data-powered, context-aware applications without managing the underlying pipeline. It ingests data continuously from user-connected sources (e.g., drive, docs, chat, calendar), builds a bespoke memory graph, and maintains context so future queries are informed by past interactions. Hyperspell supports persistent memory, context engineering, and grounded generation, producing structured or LLM-ready summaries from the memory graph. It integrates with your choice of LLM while enforcing security standards and keeping data private and auditable. With one-line integration and pre-built components for authentication and data access, Hyperspell abstracts away the work of indexing, chunking, schema extraction, and memory updates. Over time, it “learns” from interactions; relevant answers reinforce context and improve future performance. -
26
Viven
Viven
Viven creates “Digital Twins” for employees by building personalized language models trained on a person’s actual work, emails, meetings, documents, and chat threads, so that their twin thinks, writes, and acts like them. The twin serves as an always-on assistant; it recalls critical context, prepares individuals before meetings, nudges teams when things are stuck, drafts follow-ups, and allows colleagues to ask it questions directly so the work can progress without the original person being present. Enterprise-grade deployment options support SaaS, private VPC, or on-premises environments, with fine-grained role-based access controls, full audit trails, and strong data governance built in. Viven integrates with tools like Gmail, Slack, Microsoft Teams, Outlook, Google Drive, OneDrive, Jira, Salesforce, and many others, so that the twin has a complete view of your working context. -
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Selene 1
atla
Atla's Selene 1 API offers state-of-the-art AI evaluation models, enabling developers to define custom evaluation criteria and obtain precise judgments on their AI applications' performance. Selene outperforms frontier models on commonly used evaluation benchmarks, ensuring accurate and reliable assessments. Users can customize evaluations to their specific use cases through the Alignment Platform, allowing for fine-grained analysis and tailored scoring formats. The API provides actionable critiques alongside accurate evaluation scores, facilitating seamless integration into existing workflows. Pre-built metrics, such as relevance, correctness, helpfulness, faithfulness, logical coherence, and conciseness, are available to address common evaluation scenarios, including detecting hallucinations in retrieval-augmented generation applications or comparing outputs to ground truth data. -
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Pinecone Rerank v0
Pinecone
Pinecone Rerank V0 is a cross-encoder model optimized for precision in reranking tasks, enhancing enterprise search and retrieval-augmented generation (RAG) systems. It processes queries and documents together to capture fine-grained relevance, assigning a relevance score from 0 to 1 for each query-document pair. The model's maximum context length is set to 512 tokens to preserve ranking quality. Evaluations on the BEIR benchmark demonstrated that Pinecone Rerank V0 achieved the highest average NDCG@10, outperforming other models on 6 out of 12 datasets. For instance, it showed up to a 60% boost on the Fever dataset compared to Google Semantic Ranker and over 40% on the Climate-Fever dataset relative to cohere-v3-multilingual or voyageai-rerank-2. The model is accessible through Pinecone Inference and is available to all users in public preview.Starting Price: $25 per month -
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Span
Span
Span is an AI‑native developer intelligence platform that connects the dots between your engineering data and the context you need to drive impact, making large teams feel small by surfacing real‑time metrics, survey feedback, and contextual insights to unblock engineers and improve ROI on developer time. It unifies performance dashboards, sentiment surveys, and operational telemetry into a single interface, enabling proactive identification of bottlenecks, automated prioritization of work, and accelerated decision‑making without adding manual processes or data‑entry overhead. Built for enterprise‑grade security, Span offers SOC 2 Type II certification, GDPR compliance, comprehensive audit logs, fine‑grained role‑based access control, and seamless SSO/SCIM integration, all powered by secure AI services that never train on your proprietary data. -
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AWS Secrets Manager
Amazon
AWS Secrets Manager helps you protect secrets needed to access your applications, services, and IT resources. The service enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. Users and applications retrieve secrets with a call to Secrets Manager APIs, eliminating the need to hardcode sensitive information in plain text. Secrets Manager offers secret rotation with built-in integration for Amazon RDS, Amazon Redshift, and Amazon DocumentDB. Also, the service is extensible to other types of secrets, including API keys and OAuth tokens. In addition, Secrets Manager enables you to control access to secrets using fine-grained permissions and audit secret rotation centrally for resources in the AWS Cloud, third-party services, and on-premises. AWS Secrets Manager helps you meet your security and compliance requirements by enabling you to rotate secrets safely without the need for code deployments.Starting Price: $0.40 per month -
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Gentoro
Gentoro
Gentoro is a platform built to empower enterprises to adopt agentic automation by bridging AI agents with real-world systems securely and at scale. It uses the Model Context Protocol (MCP) as its foundation, allowing developers to automatically convert OpenAPI specs or backend endpoints into production-ready MCP Tools, without writing custom integration code. Gentoro takes care of runtime concerns like logging, retries, monitoring, and cost optimization, while enforcing secure access, auditability, and governance policies (e.g., OAuth support, policy enforcement) whether deployed in a private cloud or on-premises. It is model- and framework-agnostic, meaning it supports integration with various LLMs and agent architectures. Gentoro helps avoid vendor lock-in and simplifies tool orchestration in enterprise environments by managing tool generation, runtime, security, and maintenance in one stack. -
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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 -
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KAT-Coder-Pro V2
StreamLake
KAT-Coder is an agentic AI coding system designed to go beyond traditional autocomplete tools by enabling end-to-end software development workflows driven by reasoning, planning, and execution. It is positioned as a flagship coding model within the KAT ecosystem, built specifically for “agentic coding,” where the model does not just generate snippets but can diagnose issues, propose fixes, run tests, and iterate across multiple files as part of a continuous development loop. It integrates directly with developer environments through API endpoints and proxy layers compatible with tools like Claude Code, allowing seamless use inside existing IDE workflows without changing the interface developers are already familiar with. KAT-Coder is trained using a multi-stage pipeline that includes supervised fine-tuning and large-scale reinforcement learning, enabling it to understand programming context, and reason over complex tasks.Starting Price: $0.30 per month -
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Storm MCP
Storm MCP
Storm MCP is a gateway built around the Model Context Protocol (MCP) that lets AI applications connect to multiple verified MCP servers with one-click deployment, offering enterprise-grade security, observability, and simplified tool integration without requiring custom integration work. It enables you to standardize AI connections by exposing only selected tools from each MCP server, thereby reducing token usage and improving model tool selection. Through Lightning deployment, one can connect to over 30 secure MCP servers, while Storm handles OAuth-based access, full usage logs, rate limiting, and monitoring. It’s designed to bridge AI agents with external context sources in a secure, managed fashion, letting developers avoid building and maintaining MCP servers themselves. Built for AI agent developers, workflow builders, and indie hackers, Storm MCP positions itself as a composable, configurable API gateway that abstracts away infrastructure overhead and provides reliable context.Starting Price: $29 per month -
35
TensorZero
TensorZero
TensorZero is an open source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation. It creates a feedback loop for optimizing LLM applications, turning production metrics and human feedback into smarter, faster, and cheaper models and agents. The gateway lets teams integrate once and access every major LLM provider through a single unified API, including API and self-hosted models, with support for tool use, structured outputs, batch inference, embeddings, multimodal inputs, caching, routing, retries, fallbacks, load balancing, granular timeouts, usage tracking, custom rate limits, and provider-key protection. Built for performance in Rust, TensorZero is designed for extreme throughput and low-latency production workloads while still letting teams adopt only the components they need. Its observability layer stores inferences and feedback in the user’s own database, available programmatically or through the open source UI.Starting Price: Free -
36
Grengin
Perter Technology Solutions Private Limited
Grengin is an open-source, self-hosted, enterprise-grade AI platform that gives organizations governed, multi-provider access to LLMs without sending data to third-party SaaS. It deploys in under 5 minutes via a cloud marketplace image with pre-wired OAuth/SSO or a one-line installer — no complex setup, no infrastructure headaches, just a working AI platform in minutes. It provides department budgets, role-based permissions, MCP tool integrations, semantic search over conversation history, and a full admin dashboard. Administrators get fine-grained control — choosing which AI providers and models are accessible, setting department budgets, managing MCP tool servers, and assigning role-based permissions at the org or department level. The platform also includes tamper-evident audit logs, usage analytics by user/department/model, SSO via Google and Azure AD.Starting Price: $0 -
37
SGNL
SGNL
As the enterprise and workforce evolve, access must be intelligent and dynamic. SGNL ensures that your most valuable resources are being accessed by the right people, at the right time, in the right context. Enterprise use cases require a fine-grained approach. By building a deep understanding of your business, SGNL is able to drive smart, realtime access decisions. Scalable access policies should be understandable by all stakeholders. SGNL enables this through an intuitive, human-readable policy builder. SGNL connects to, and complements, your existing identity and business systems—with a broad array of simple, easy-to-implement integrations. -
38
Kombo
Kombo
Deliver the integrations your customers are asking for in no time — build on Kombo's unified API to unlock an ever-growing suite of HR and ATS integrations. Enable your customers to connect any tool with your product by integrating Kombo's simple and unified API once. Profit from the ever-growing number of integrations. Every tool works the same in Kombo's unified API. Don't worry about handling edge cases anymore. Kombo will let you know about any data changes in connected systems, even if they don't support webhooks. Let your users connect their tools in our prebuilt connection flow with a step-by-step guide. Map custom fields into a unified schema and turn off fields or models you don't need. -
39
GLM-5V-Turbo
Z.ai
GLM-5V-Turbo is a multimodal coding foundation model designed for vision-based coding tasks, capable of natively processing inputs such as images, video, text, and files while producing text outputs. It is optimized for agent workflows, enabling a full loop of understanding environments, planning actions, and executing tasks, and integrates seamlessly with agent frameworks like Claude Code and OpenClaw. It supports long-context interactions with a context length of 200K tokens and up to 128K output tokens, making it suitable for complex, long-horizon tasks. It offers multiple thinking modes for different scenarios, strong vision comprehension across images and video, real-time streaming output for improved interaction, and advanced function-calling capabilities for integrating external tools. It also includes context caching to enhance performance in extended conversations. In practical use, it can reconstruct frontend projects from design mockups. -
40
Ardent
Ardent
Ardent (at tryardent.com) is an AI data engineer platform that builds, maintains, and scales data pipelines with minimal human effort. It lets users issue natural language commands, and the system handles implementation, schema inference, lineage tracking, and error resolution autonomously. Ardent’s ingestors come preconfigured for many common data sources and work “out of the box,” enabling connection to warehouses, orchestration systems, and databases in under 30 minutes. It supports debugging on autopilot by referencing web and documentation knowledge, and is trained on thousands of real engineering tasks to solve complex pipeline issues with zero intervention. It is engineered to handle production contexts, managing numerous tables and pipelines at scale, running parallel jobs, triggering self-healing workflows, monitoring and enforcing data quality, and orchestrating operations through APIs or UI.Starting Price: Free -
41
RoboWork
RoboWork
RoboWork is an all-in-one AI automation platform to create specialized AI agents, chain them into multi-agent workflows, and deploy them internally or publicly in minutes—without writing code. It supports human-in-the-loop reviews, auto-planning and self-reflection, and integrates with your stack via the Model Context Protocol (MCP) and a REST API. The platform unifies top models (ChatGPT, Claude, Gemini, and RoboWorkAI) with auto-selection, provides knowledge bases trained from your files and websites, and offers one-click deploy, embedding, and white-label options. Designed for individuals through enterprises, RoboWork powers 10K+ teams, 50M+ automated tasks, with 99.9% uptime and SOC 2–aligned practices. Common use cases include sales outreach, content operations, customer support, data processing, and back-office automations. -
42
Cisco AI Canvas
Cisco
The Agentic Era marks a transformative shift from traditional application-centric computing to a new frontier defined by agentic AI, autonomous, context-aware systems capable of acting, learning, and collaborating within complex, dynamic environments. These intelligent agents don’t just respond to commands; they perform complete tasks, retain memory and context via large language models tailored for specific domains, and can scale across industries into the tens of millions. This evolution brings the need for a new operational mindset, AgenticOps, and a reimagined management interface built around three guiding principles, keeping humans thoughtfully in the loop to provide creativity and judgment, enabling agents to operate across siloed systems with cross-domain context, and deploying purpose-built models fine-tuned for their distinct tasks. Cisco brings this to life through AI Canvas, the industry’s first generative, shared workspace driven by a multi-data, multi-agent architecture. -
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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. -
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SWE-1.6
Cognition
SWE-1.6 is an engineering–focused AI model developed by Cognition and integrated into the Devin (Windsurf) environment, designed to optimize both raw intelligence and what the company calls “model UX,” or the overall feel and efficiency of interacting with an AI agent. It represents a new iteration in the SWE model family, improving performance on benchmarks such as SWE-Bench Pro by over 10% compared to SWE-1.5 while maintaining similar underlying capabilities. It was trained from scratch to jointly improve reasoning quality and user experience, addressing issues observed in earlier versions such as overthinking simple problems, taking too many steps, looping in repetitive reasoning, and relying excessively on terminal commands instead of specialized tools. SWE-1.6 introduces behavioral improvements such as more frequent parallel tool usage, faster context retrieval, and reduced need for user input, resulting in smoother and more efficient workflows. -
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Gemini 2.5 Flash-Lite
Google
Gemini 2.5 is Google DeepMind’s latest generation AI model family, designed to deliver advanced reasoning and native multimodality with a long context window. It improves performance and accuracy by reasoning through its thoughts before responding. The model offers different versions tailored for complex coding tasks, fast everyday performance, and cost-efficient high-volume workloads. Gemini 2.5 supports multiple data types including text, images, video, audio, and PDFs, enabling versatile AI applications. It features adaptive thinking budgets and fine-grained control for developers to balance cost and output quality. Available via Google AI Studio and Gemini API, Gemini 2.5 powers next-generation AI experiences. -
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Rube
Rube
Rube is a universal MCP (Model Context Protocol) server that enables AI chat clients to perform real-world actions across 500+ applications, including Gmail, Slack, GitHub, Notion, and more. Once installed, users authenticate their apps just once, and then, via natural language within their AI chat, they can instruct Rube to execute tasks like sending emails, creating tasks, updating databases, or posting updates. It intelligently manages authentication, API routing, and context handling behind the scenes, allowing for seamless multi-step workflows, such as fetching data from one app and sending it to another, without manual setup. Rube supports both individual and team use: shared connections let teammates access apps through a single, unified interface, while integrations persist across different AI clients. Built on Composio’s secure infrastructure, Rube ensures encrypted OAuth flows and SOC‑2 compliant practice, all wrapped in a streamlined, chat-first automation experience. -
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Identity Confluence
Tech Prescient
Identity Confluence is an intelligent Identity Governance and Administration (IGA) platform designed to help IT and security teams manage access, automate identity lifecycles, and maintain continuous compliance across cloud and hybrid environments. Built for modern enterprises, Identity Confluence unifies identity lifecycle management, access control, and governance into a single, scalable platform. Automate Joiner-Mover-Leaver (JML) processes, enforce policy-based access controls (RBAC, ABAC, PBAC), and conduct real-time user access reviews—all from one intuitive interface. Key Features: Lifecycle Automation: Trigger real-time provisioning and deprovisioning across HR, IT, and business systems. Access Controls: Implement dynamic, fine-grained access policies using roles, attributes, and policies. App & Directory Integrations: Out-of-the-box connectors for AD, Azure AD, Okta, Workday, SAP, and more. Access Reviews: Automate certifications, enforce Segregation of Duties -
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SecuPi
SecuPi
SecuPi provides an overarching data-centric security platform, delivering fine-grained access control (ABAC), Database Activity Monitoring (DAM) and de-identification using FPE encryption, physical and dynamic masking and deletion (RTBF). SecuPi offers wide coverage across packaged and home-grown applications, direct access tools, big data, and cloud environments. One data security platform for monitoring, controlling, encrypting, and classifying data across all cloud & on-prem platforms seamlessly with no code changes. Agile and efficient configurable platform to meet current & future regulatory and audit requirements. No source-code changes with fast & cost-efficient implementation. SecuPi’s fine-grain data access controls protect sensitive data so users get access only to data they are entitled to view, and no more. Seamlessly integrate with Starburst/Trino for automated enforcement of data access policies and data protection operations. -
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Deeplake
Activeloop
Deeplake is a GPU-native database for AI agents that helps teams store, retrieve, and process data where their models already run. Built by Activeloop, it is designed as a memory and data layer for production-grade AI agents, agentic loops, physical AI, and generative media workflows. The platform combines a familiar Postgres-style interface, analytical query performance, multimodal data lake capabilities, and GPU acceleration into one AI-focused data system. Deeplake supports use cases involving text, images, video, sensors, 3D scans, model weights, embeddings, and other complex data types. It helps agents retrieve context faster, reduce data movement, and run large volumes of queries more efficiently than traditional CPU-based database architectures. With SOC 2 Type II certification, VPC deployment, open-source traction, and support for modern AI stacks, Deeplake gives AI teams a scalable foundation for agent memory, retrieval, and multimodal data management.Starting Price: $0 -
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Knit Unified API
Knit
Knit offers a common data model for all apps within a category along with world class data security. So, integrating hundreds of apps is not only easier, it’s also safer for you. Users stay within your own app while integrating with the apps they use. Our embedded integrations, white-labelled auth and drop-in frontend components help your users power integrations with just a few clicks. With Knit you can skip the data transformation nuances and complex processes for different APIs and scale integrations 10x faster. Knit maps different data schemas from different applications into a single, unified data model for each category of integrations and syncs the normalized data in real-time. Knit is the only unified API that does not store any of your end user data on its servers. The syncs happen over a 100% webhook-based architecture for enhanced data security.Starting Price: $999 per month
