Best Agentic AI Platforms - Page 17
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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 -
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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 -
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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 -
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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 -
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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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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 -
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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 -
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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 -
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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 -
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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 -
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Antigravity CLI
Google
Antigravity CLI is the terminal-first surface for interacting with Antigravity agents, built to let developers stay in their flow without context switching. It allows users to edit, orchestrate, and build in natural language by telling agents what they need and letting them work on getting it done. It is designed as the most lightweight way to invoke, monitor, and interact with Antigravity agents, with a snappy experience and minimal resource footprint for builders who live in the terminal. Antigravity CLI supports subagents, allowing multiple agents to work in parallel so larger tasks can be tackled faster. Users can delegate background tasks to concurrent agent sessions, type /agents to open the panel and monitor status, and use ctrl+k to approve tools instantly. It is highly configurable, with standard terminal shortcuts, adjustable permissions, themes, preferences through /config, and customizable keybindings through /keybindings.Starting Price: Free -
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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 -
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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 -
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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 -
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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 -
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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 -
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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 -
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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 -
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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 -
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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 -
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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 -
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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 -
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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 -
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Ada
Ada
Ada is the omnichannel AI platform for customer service - built to automate, scale, and elevate CX across channels with generative AI agents. Trusted by global brands like Square, Pinterest, Canva, and monday.com, Ada has powered 5.5B+ interactions since 2016. Its AI agents deliver always-on, multilingual support across voice, messaging, and email, resolving up to 83% of inquiries instantly. Eliminate wait times with natural AI Voice, deliver personalized service via AI Messaging, and automate 70% of email responses. Ada combines automation and intelligence with enterprise-grade control, transparency, and security (HIPAA, SOC2, GDPR). Own your AI strategy end-to-end - train agents with Playbooks, measure ROI through CSAT and KPIs, and integrate seamlessly via APIs. Discover how Ada reduces costs and improves response times without compromising quality. -
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Celonis
Celonis
Celonis turns business processes into extraordinary experiences. Discover how your processes really run. Use your digital footprint to understand the root causes of process deviations and inefficiency. Enhance processes with AI-powered tools. Intelligent recommended actions allow every employee to remove process friction. Monitor process improvement over time. Track, measure, and celebrate process transformation business impact. Celonis has one very simple goal: to analyze today’s processes to make tomorrow’s world more efficient. We are dedicated to pursuing this vision with passion and purposefulness. In our opinion, any company can achieve great things, regardless of its size, industry, or history. Celonis process mining is the new standard in Big Data Analytics designed to help companies around the world save valuable time and money through improved process transparency and efficiency. We hope you will join us on this journey. -
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PRIME BPM
PRIME BPM
Easily and accurately map, analyse, improve, and automate their business processes with PRIME BPM, a powerful cloud-based Business Process Management software. Take your Business Process Improvement/ Process Mapping skills to the next level with our specialized Business Process Management programs. Get access to high-quality, standardized process maps created by experts at lesser cost with a shorter delivery time. Easily and accurately Map, Analyse, Improve, and Automate your business processes with PRIME BPM, a powerful cloud-based, plug-and-play BPM software. Whether you are a business user or business process expert, PRIME BPM with the best-of-breed inbuilt methodology and user-friendly interface is designed to meet the unique requirements of both the user groups. Based on powerful methodologies, such as BPM, Lean, Six Sigma, Value Stream Mapping and more, PRIME BPM has helped hundreds of leading organizations achieve their business objectives. -
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Teneo.AI
Teneo.AI
Teneo.ai delivers the most advanced Agentic AI solutions for contact center automation—helping enterprises resolve customer inquiries faster, reduce wait times, and elevate service quality. Our AI Agents achieve up to 99% accuracy, automate over 60% of interactions, and enable up to 50% in operational cost savings. Agentic AI Transforming CX Teneo.ai delivers enterprise-grade Agentic AI that revolutionizes customer experiences through frictionless, agentless interactions. As the market leader in AI automation, our platform powers autonomous AI agents across 86 languages with 99% accuracy via proprietary TLML™ technology. Teneo is the only solution proven to automate enterprise-scale phone calls, reducing customer service costs from $6.00 to $0.40 per interaction—delivering up to $32.4 million monthly ROI. Our AI Agent Orchestration ensures seamless contact center integration, robust governance and global scalability, positioning Teneo at the forefront of Agentic AI. -
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From effortlessly managing a deluge of invoices across various channels including email, vendor portals, chats, and more to seamlessly integrating with all finance ERPs including Oracle NetSuite, SAP, QuickBooks, etc., Neil handles the entire AP process without human intervention. This means AP teams get to focus on strategic initiatives while most of the day-to-day AP tasks are performed automatically by Neil with accuracy more than 85%. Going beyond the traditional RPA and OCR-based automation, Neil leverages advanced ICR, AI-powered workflows, and real-time vendor communication to ensure accurate data extraction, efficient processing, and timely payments—resulting in happier vendors and better discount opportunities for the enterprise. With Neil on your team, achieve remarkable 90% straight-through processing (STP) rates, eliminate human errors, and optimize vendor relationships like never before.Starting Price: $0
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Supervity
Supervity
Supervity is the Services-as-Software company building Self-Driving Auto Apps for enterprise operations. The company’s AI Employees execute operational work while humans remain in command through policies, governance, and oversight. From individual AI Employees to enterprise-scale AI Command Centers, Supervity enables organizations to run AI-first operations across finance, procurement, HR, IT, customer operations, and shared services. AI does the work. You are in command. -
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HCL BigFix
HCL Software
HCL BigFix: Secure Resilient Operations, Powered by AI HCL BigFix is the platform for unified endpoint and infrastructure management, purpose-built to deliver on the Digital+ promise of reducing cost, risk, and complexity. Proven at enterprise scale, BigFix secures and manages 155M+ endpoints across nearly 100 operating systems. It leverages AI-driven automation to deliver continuous compliance and real-time vulnerability remediation with one of the industry’s best first-pass patch success rates (>98%). This is enhanced by AEX, our agentic AI platform, which transforms the digital employee experience through proactive, self-healing support. HCL BigFix is the single solution to secure any endpoint, in any cloud, across any industry.
