Best Agentic AI Platforms - Page 18
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Compare the Top Agentic AI Platforms as of November 2026 - Page 18
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1
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 -
2
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 -
3
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 -
4
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 -
5
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 -
6
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 -
7
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 -
8
Manufact
Manufact
Manufact is a platform to build and deploy MCP apps and servers, giving teams a fast path to the ChatGPT Apps Store, Claude Connectors, and every surface where users and agents already work. The mcp-use SDK is the full-stack MCP framework to develop MCP apps for ChatGPT and Claude, as well as MCP servers for AI agents. Manufact covers every step of the MCP lifecycle with no extra tools: build from an SDK, a skill, or a vibe; deploy with one push; publish with marketplace checklists and generated submission assets; iterate with Cloud Inspector; and monitor with analytics, session replay, traces, error rates, and alerts. Teams can scaffold with the MCP-use SDK, install a skill into a coding agent, describe an app and watch it scaffold, or drop in an existing MCP server unchanged. Manufact Cloud connects to a repo once, then every push auto-deploys, with preview URLs for pull requests, custom domains, and SSL handled.Starting Price: $25 per month -
9
Sakana Fugu
Sakana AI
Sakana Fugu is an AI model and multi-agent AI system delivered through a single OpenAI-compatible API. The platform dynamically orchestrates a pool of powerful models to solve complex tasks without requiring users to manually choose models, assign roles, or design agent workflows. Fugu learns how to assemble and coordinate agents for coding, reasoning, research, cybersecurity, scientific analysis, and other quality-critical work. Users can choose between Fugu for balanced performance and latency or Fugu Ultra for harder, high-stakes tasks that need deeper expert coordination. The platform also allows users to control which models or providers can participate in the agent pool to support privacy, compliance, and organizational requirements. Sakana Fugu helps teams access collective AI intelligence through one endpoint while reducing single-vendor dependency and improving performance on complex multi-step workflows.Starting Price: $20/month -
10
Sendmux
Sendmux
Sendmux gives AI agents their own inbox and a controlled way to send email. Each agent can receive messages, read threads, handle attachments, send replies, and react to new mail through signed webhooks or Server-Sent Events. Teams can send through Gmail OAuth, Outlook OAuth, SMTP providers, or managed Amazon SES. Sendmux can spread sending across providers with weighted routing, sender-domain routing, health checks, failover, and quotas by second, minute, hour, or day. Developers get Mailbox, Sending, and Management APIs, OpenAPI docs, SDKs, the sendmux CLI, MCP tools, and Sendmux Skills. The platform also covers tenant isolation, mailbox-scoped API keys, custom domains, logs, metrics, and usage-based pricing with no per-seat or per-mailbox fees.Starting Price: $0.15 per 1000 emails -
11
Acti
Xyzer Technology Limited
Acti is the world’s first agentic keyboard; words in, actions out. It does not predict your next word; it takes your next action. Built around the Acti Bar, it turns every text field into an action layer, so you can type your intent anywhere, hold the bar, preview the result, and apply it without switching apps. Acti lives inside the keyboard across messages, email, notes, browsers, and anywhere there is a text field, letting the agent understand what you mean and complete the task right where you are typing. It can find and share a restaurant card, drop a live map link into a message, create a meeting link, pull a Notion doc, draft a reply, summarize text, translate copied content, analyze message tone, check sports or stock context, and run workflows from the keyboard. The loop is simple: type what you need in plain language, hold the Acti Bar, preview the link, reply, summary, or workflow result, then tap to insert, send, open, or adjust it.Starting Price: Free -
12
AgentKey
AgentKey
AgentKey connects your AI agents to the world with one key for the external data they need to do real work. Your agent may know what to do, but to actually do it, they need to find the right API, get the right access, and handle every service. AgentKey handles that layer so the agent can search widely, read pages, pull social takes, and add finance, ecommerce, business, crypto, or on-chain context in one pass. Built for Claude Code, Codex, Cursor, Windsurf, Gemini CLI, OpenClaw, Hermes, Antigravity, Warp, and any platform that supports MCP or Skills files, AgentKey gives agents access to search, scraping, social media, finance, ecommerce, cryptocurrency, and business data without forcing users to juggle separate provider dashboards. Search routes include services like Brave Search, Tavily, Serper, Perplexity, Parallel, and Exa, while scraping routes use tools such as Firecrawl, Jina, and Bright Data to turn web pages into usable content.Starting Price: $9.90 per month -
13
VATES
STANDOUT Inc.
VATES is AI knowledge infrastructure for organizations that need reliable answers from information they control. It keeps knowledge structured, human-readable, and directly editable instead of turning it into opaque vector embeddings. Changes can be reflected in AI responses without rebuilding or re-indexing a vector database. VATES can be used as a standalone conversational interface, embedded into an existing website, or integrated into products and AI workflows through its API. Answers are multilingual and traceable to their underlying knowledge sources. It is designed for operational knowledge such as internal procedures, product information, policies, manuals, and customer support where accuracy, ownership, and traceability matter. The architecture is informed by publicly available research published as DOI-indexed preprints, with the author's research record maintained through ORCID. VATES uses prepaid, usage-based billing with no required monthly subscription.Starting Price: $5 deposit, pay-as-you-go -
14
ZooData
ZooData
ZooData is an agent-native data layer that gives AI systems clean web content and decision-ready commerce intelligence through one integration. Instead of returning raw HTML or static reports designed for human dashboards, it delivers structured, token-efficient JSON that agents can consume directly for research, analysis, monitoring, and automated decision-making. It tracks more than 500 million products across Amazon and TikTok Shop and supports over 40 filters for product discovery, batch processing, and large-scale opportunity scanning. Its data modules provide category-level market analysis, demand trends, competition density, margin benchmarks, multidimensional competitor lookup, and live product signals such as price, inventory, and Best Sellers Rank. More than two years of price, sales, rating, and ranking history support time-series analysis and early trend detection.Starting Price: $29 per month -
15
Maguyva
Maguyva
Maguyva is agent-first code intelligence that gives AI coding tools a ranked map of a repository before they start editing. Teams connect GitHub repositories, and cloud pipelines parse, rank, and index symbols, dependencies, imports, semantic relationships, and cross-file structure, then keep the index current as code changes. Through one remote MCP integration, agents in Claude Code, Cursor, VS Code, Windsurf, Codex, Gemini CLI, and other compatible clients can query the same grounded context without installing a local indexer or changing editors. Its 11 MCP tools combine semantic, structural, graph, and text retrieval across five search modalities, returning ranked results instead of raw grep output. Agents can ask plain-language questions, locate important symbols, find patterns through AST-aware search, trace dependents, identify orphaned code, analyze a change’s blast radius, and assemble task context before touching a file.Starting Price: $19 per month -
16
Buzz
Block
Buzz is a self-hostable workspace where humans and AI agents build together in the same rooms, on a relay the team owns. One community brings conversations, agents, workflows, repositories, artifacts, documents, search, and automation into a single workspace with one identity model and one event log. Every message, reaction, workflow step, review approval, canvas update, huddle event, and Git action is recorded as a cryptographically signed Nostr event, giving people and processes the same audit trail. Agents are members, not bots: teams add them to channels like colleagues, give them their own keys and scoped memberships, and let them open repositories, send patches, review code, run workflows, edit canvases, orchestrate other agents, create channels, join voice huddles, and bring the right people into the work. Buzz can search project history and return answers with supporting threads, patches, runs, and approvals.Starting Price: Free -
17
Manifest
Omfang AB
Manifest by Omfang is an action layer for AI agents that turns any webpage into a structured map of what an agent can actually do. Developers send a URL to the Manifest API and receive clean JSON describing the page state, available buttons, forms, inputs, navigation links, required fields, and dependencies between actions. Manifest loads the page in a real Chromium browser after JavaScript runs, reads the accessibility tree used by screen readers, and cross-references it with the underlying DOM to capture details the accessibility layer can miss, including input types, placeholders, disabled states, and prerequisites for submission. Once actions are identified, their locators are resolved deterministically rather than generated by a model; ambiguous matches are marked uncertain instead of guessed. This gives agents a machine-readable interface for reasoning about what to click, fill, or submit without relying on screenshots, brittle CSS paths, etc.Starting Price: $29 per month -
18
Heard
Heard
Heard is a financial back office built specifically for therapists, bringing bookkeeping, taxes, payroll, and business support into one connected platform. It helps private-practice owners understand where their money is going, stay organized throughout the year, and make confident financial decisions without managing spreadsheets or piecing together multiple providers. Users connect their business bank and credit card accounts, and Heard categorizes transactions, reconciles the books, and prepares clear monthly financial reports that show income, expenses, profit, and cash flow. It also supports quarterly tax estimates, annual federal and state tax preparation and filing, business deductions, tax extensions, and ongoing access to professionals who understand the financial realities of therapy practices. Integrated payroll helps owners pay themselves correctly, run payroll for employees, manage contractor payments, and keep payroll records aligned with bookkeeping and taxes.Starting Price: $12 per month -
19
Prefactor
Prefactor
Prefactor is a real-time evaluation, observability, and reliability platform for production AI agents. It scores every run the moment it happens for quality, drift, cost, and data risk, then wires those evaluations into action so a failing agent is caught live instead of only appearing on a dashboard afterward. Teams can observe every model call, tool invocation, and decision as structured traces and spans, run LLM-as-judge, technical, qualitative, and custom evaluations on each step, and attach context from GitHub, Linear, Jira, databases, internal APIs, or other sources as ground truth. When a run crosses a defined threshold, Prefactor can block or throttle it, pause a sensitive action, or route it to a person for approval, modification, or rejection before execution, with every decision logged. The CLI discovers agents without a platform migration, while TypeScript and Python SDKs provide native support for LangChain, Claude, Vercel AI, OpenClaw, and LiveKit.Starting Price: $250 per month -
20
Aura
Aura
Aura is an AI agent for Unreal Engine and Unity that lets developers prompt a game feature and have the system build it inside the project. It analyzes project-specific context, answers technical questions, creates implementation plans, and can make approved changes through Ask, Plan, and Agent modes. In Unreal Engine, Aura can create and edit Blueprints, enums, structs, data tables, C++ files, UI, assets, levels, behavior trees, visual effects, audio, and other project elements. It can compile code, run Live Coding, perform batch edits, search for assets, and use files, images, design documents, spreadsheets, PDFs, presentations, and other references as context. Aura can also build a feature and playtest it, closing the loop between implementation and testing by checking gameplay and UI, finding bugs, and recovering automatically from editor crashes while it runs.Starting Price: $10 per month -
21
Memmy
Memmy
Memmy is a local-first AI memory layer that lets every AI tool remember the same version of you. Built for people who work with several assistants every day, it automatically reads authorized collaboration history from tools such as Cursor, Claude, and Codex, then turns scattered conversations, preferences, project context, technical decisions, progress, and recurring pitfalls into structured memory. Its workflow has three stages: Scan reviews selected histories on the user’s device; Organize distills, deduplicates, categorizes, and indexes useful information; and Inject gives the active AI only the most relevant memories through precise, on-demand matching instead of sending a complete data dump. This allows users to switch tools without rebuilding context, merge plans discussed across agents, document recent decisions, preserve writing preferences, and continue unfinished work.Starting Price: Free -
22
Flowtask
Flowtask
Flowtask turns Slack messages, emails, and documents into operational memory and accountable work. Every conversation is structured into an executable skills file, so each agent can understand what is open, who owns it, what is blocked, and what happened before without repeated context or manual updates. Its AI Task Builder reads conversations live, extracts requests, deadlines, sender details, attachments, decisions, and thread history, then creates tasks shaped for client deliverables, internal actions, follow-ups, approvals, escalations, or blockers. Smart Assignment routes each task to the right owner using workspace context and rules, while the Priority Engine interprets urgency from tone, service-level agreements, and timelines. Email-to-Task and Slack capture keep work visible without asking teams to change habits, and status synchronization keeps communication and execution aligned.Starting Price: $5.23 per month -
23
bb
bb
bb is a local-first, fully customizable IDE for working with AI coding agents, designed to control, automate, and even modify itself. Almost anything in the environment can be changed with a single prompt: users can add panels, CLI commands, skills, plugins, and workflows that immediately become available to their agents. Many of bb’s own capabilities, including GitHub integration, agent memory, scheduled jobs, and remote access, are built as plugins using the same tools available to users. Its CLI is open to external programs such as shell scripts, cron jobs, or bots in Telegram, Signal, and Slack, allowing them to spawn work threads that remain available in the sidebar. bb supports multiple coding agents, including Claude Code, Codex, Cursor, Pi, OpenCode, Grok, omp, and Hermes, letting users assign tasks to the best-suited agent or have one agent spawn and manage another in separate threads. Work runs on the user’s own machine and can continue independently until they return.Starting Price: Free -
24
Oqoqo
Oqoqo
Oqoqo is a platform for building evals and custom benchmarks for real-world agentic tasks, letting teams run experiments at scale in realistic environments on fully managed cloud infrastructure. Users can define private task sets and rubrics, test whether agents can use products such as skills, MCP servers, CLIs, SDKs, APIs, documentation, and files, and compare agents, models, treatments, and effort levels under the same conditions. Each task runs independently in its own isolated environment with the project state, context, files, tools, and credentials it needs. Oqoqo captures the full trajectory of every run, including commands, tool calls, errors, files, and where an agent stopped, then reports pass or fail results, pass rates, lift, token usage, and friction. Teams can use these insights to identify product interface issues, token inefficiencies, and performance differences, fix what failed, and rerun the experiment.Starting Price: $20 per month -
25
Archestra
Archestra
Archestra is an open source, self-hosted AI platform for deploying and governing agents across an organization. It provides agentic chat for non-developers, apps and skills, shared projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and observability in one platform. Users sign in with SSO, and every tool call runs under that person’s own identity rather than a shared service account. Projects keep chats, files, scheduled tasks, and instructions together, while agents run in sandboxed containers and can start from schedules, emails, or webhooks. MCP servers run in the organization’s own Kubernetes environment and move through security-reviewed promotion flows with separate credentials and network policies. Knowledge bases can connect Confluence, Jira, drives, and internal documents while preserving source-system ACLs, so users only retrieve content they are already allowed to access.Starting Price: Free -
26
Cumora
Cumora
Cumora is a collaborative workspace where humans and AI agents operate as teammates rather than treating AI as a chatbot that waits for prompts. Each agent has a persona, memory, status, role, voice, editable system prompt, and private workspace for files, notes, and observations. Agents retain context from earlier conversations, build an ongoing understanding of the people they work with, and can take initiative on a user-defined cadence by messaging teammates, posting observations, or assembling small groups around something they noticed. Workspaces support human invitations, projects, attached files, grouped agents, and synchronized live state across desktop, browser, and mobile experiences. Agents can communicate directly with one another, while Whisper rooms let users observe those conversations without participating.Starting Price: Free -
27
Tines 3B
Tines
Tines 3B is an AI-native intelligent workflow platform that provides one environment to deliver AI agents, apps, and automation faster, safely, and at scale. Teams can start with a natural-language prompt, describe a process in their own words, brainstorm with a connected LLM, or build workflows directly in code with Git integration and native branching. It proposes tests as users build, generates dummy data when needed, and asks before using live data or applications. Dedicated Spaces combine the right connectors, skills, and permissions, while LLM Skills help standardize how builds happen across teams. Every workflow step executes in an isolated sandbox, and credentials are injected at runtime through a transparent proxy so secrets are never exposed to builders, AI, or stored code. Workflows can run self-hosted, on-premises, or in hybrid environments.Starting Price: Free -
28
Switch AI
Flint AI
Switch is a collaborative workspace from Flint AI that enables humans and AI agents to work together through existing messaging platforms. The platform creates shared rooms where people, agents, decisions, files, and work history remain available as tasks move between different participants and agents. Teams can bring agents into Slack, Microsoft Teams, Discord, and Mattermost without replacing their existing communication workflows. Switch works with AI and agent technologies including Claude Code, Anthropic Claude, OpenAI, LangChain, LangGraph, Amazon Bedrock, Google Vertex AI, ADK, and custom-built agents. Multiple specialized agents can coordinate within the same room, use work completed by other agents, respond to human direction, and hand tasks to one another while retaining shared context. Switch is extensible by design and is intended to give organizations a common workspace for coordinating human-agent teams without requiring them to migrate to a new collaboration environment.Starting Price: Free -
29
Vendo
Vendo
Vendo is an open source customization layer that lets customers build their own features and micro-apps directly on top of a product. Users describe what they need, and the interface assembles it live into persistent apps with UI, data, actions, automations, and state rather than returning a one-off answer. Vendo can generate on-demand dashboards, standing automations, and workflows connected to tools such as Gmail, Slack, and GitHub. One initialization command reads the host product’s repository to learn its components, colors, API tools, and permission rules, so generated experiences follow the existing brand and stay within each signed-in user’s access. Apps can appear as overlays, chat sidebars, full panels, or components remixed into the product, and the same experiences can also open through Claude and ChatGPT or run on a schedule. Generated experiences run sandboxed, and the system shows changes before writing them and checks its own work.Starting Price: $49 per month -
30
Mireye
Mireye
Mireye is infrastructure for physical-world AI agents, providing one API for data, enrichment, tools, and signals. Agents such as Claude, ChatGPT, Gemini, Cursor, Grok, Copilot, DeepSeek, or custom systems can ask questions about places through one API with MCP tools and receive cited data indexed from the physical world. Mireye can resolve an address, fetch location-specific fields, measure distances, and return the plan it executed so results can be replayed. Its geocoding endpoint converts U.S. street addresses into coordinates while reporting how each location was derived and refusing low-confidence matches rather than guessing. Lookup expands a point into place context such as county, census tract, congressional district, metro area, timezone, elevation, and flood status. Fetch returns typed values for requested fields or presets at U.S. locations, with a source, fetch time, and confidence attached to every value.Starting Price: $19 per month
