Alternatives to TASKIN
Compare TASKIN alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to TASKIN in 2026. Compare features, ratings, user reviews, pricing, and more from TASKIN competitors and alternatives in order to make an informed decision for your business.
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1
Cognigy.AI
NiCE Cognigy
NiCE Cognigy delivers AI that works – fast, human, and built for real-world scale. As part of NiCE, a global leader in customer experience technology, we combine Generative and Conversational AI with orchestration, tools, and enterprise integrations to power Agentic AI. The result? Smarter automation, better service, and instant resolution across every channel. NiCE Cognigy’s AI Agents Supercharge Your Customer Service -Industry-specific pre-trained AI Agents -Multilingual call and chat support (100+ languages) -Seamless integration with existing enterprise systems -Leverages memory and context for hyper-personalized interactions -Absorbs enterprise knowledge to accurately answer any customer query -Real-time assistance and actionable service insights for human agents Business Impact for our Customers: -30% CSAT improvement -70% AHT reduction -99.5% Faster response time -99% Routing accuracy -
2
Rerun
Reunit
Rerun is a cloud workspace for creating and coordinating AI agents, called Coworkers, that handle recurring business tasks. Users assign each Coworker a job, connect business apps or MCP servers, provide instructions and files, then run work on demand, on a schedule or after an event. Each workspace runs on a dedicated cloud machine with persistent files, memory and databases, allowing tasks to continue while users are offline. Teams can share a workspace, monitor agent activity and respond to questions or approval requests. Coworkers can browse websites, use connected tools, work together and prepare or carry out tasks such as inbox triage, lead research, CRM updates, content preparation and invoice follow-ups. The service is aimed at agencies, SaaS teams, small businesses and founders delegating repeated sales, marketing and operations work. Access and management are browser-based, including mobile browsers.Starting Price: $29/month -
3
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 -
4
Symphony by Wix
Wix
Symphony by Wix is a cloud-based AI agent platform for independent business owners and small businesses that want help coordinating recurring work. Its central agent, Maestro, learns about a business and delegates tasks to specialized agents that can support outreach, marketing, scheduling, research, finance, and content creation. Users connect tools such as calendars, email, productivity apps, Slack, and Salesforce, then review agent activity in a shared workspace with task status, business summaries, and metrics. Teams can create custom agents, approve or edit important actions, and manage work through a conversational interface. Symphony is available as a web experience and mobile app, with free and paid subscription plans.Starting Price: $16/month -
5
Cosmos
Augment Code
Cosmos by Augment Code is an AI agent orchestration platform designed to automate and coordinate software development workflows across engineering organizations. The platform enables teams to deploy specialized AI agents that handle tasks such as code generation, pull request reviews, vulnerability remediation, and incident investigation. Cosmos uses a Context Engine to provide agents with an understanding of codebases, dependencies, and existing development patterns. Its event-driven automation capabilities trigger workflows through repository activity, scheduled tasks, webhooks, and integrations with development tools. The platform supports shared organizational knowledge, isolated execution environments, and human approval checkpoints for managing automated operations. Cosmos integrates with GitHub, GitLab, Jira, Linear, Slack, and other engineering systems to connect AI agents with existing software delivery processes.Starting Price: $20 per month -
6
Intent
Augment Code
Intent is a public beta desktop workspace designed for spec-driven development and multi-agent orchestration, enabling developers to plan, execute, and iterate on complex coding tasks using coordinated AI agents. It places living specifications at the center of the workflow so teams can define what should be built and allow agents to implement it while keeping the spec continuously updated to reflect actual output. It provides a unified environment where multiple agents can run in parallel without conflicts, eliminating the need to juggle terminals, branches, or scattered prompts. Powered by Augment’s Context Engine, each agent shares a deep understanding of the entire codebase, ensuring alignment between planning, execution, and verification stages. Intent supports major state-of-the-art models and allows developers to mix and match them based on task complexity, whether for architecture design, rapid iteration, or deep code analysis.Starting Price: $20 per month -
7
Herdr
Herdr
Herdr is a terminal-based runtime and multiplexer for developers who run AI coding agents, shells, tests, and other command-line tools. It organizes work into workspaces, tabs, and panes managed by a background server, so processes can keep running when a client disconnects. Users can reattach locally or connect to Herdr on other machines over SSH. The software detects supported coding agents and displays whether they are working, blocked, idle, or done; integrations can preserve native agent sessions after a server restart. Its CLI and local socket API let scripts and agents inspect sessions, manage panes, start or prompt agents, and wait for state changes. Developers can configure keybindings and themes and extend workflows with local executable plugins. Herdr is installed on macOS, Linux, or Windows and is released under the Apache 2.0 license.Starting Price: Free -
8
Conductor
Conductor
Conductor lets you run a team of coding agents on your Mac, giving each Claude Code or Codex agent its own isolated workspace so you can parallelize software work without losing control. Add your repo, and Conductor clones it and works entirely on your Mac. Deploy agents, and each one gets a separate git worktree where it can work independently. Then conduct: see who is working, what needs attention, review code, and merge finished branches. Conductor is built around the idea that developers are becoming AI managers, coordinating many agents at once instead of working through a single chat. It supports Claude Code and Codex, with model selection, Plan Mode, Fast Mode, reasoning controls when available, checkpoints, skills, and agent-specific session controls. Plan Mode asks the agent to make a plan before editing files, making it useful for broad, risky, ambiguous, or multi-file changes. -
9
Nightworks AI
Nightworks AI
Nightworks AI is a governed agent platform for recurring finance and operations work, including close preparation and back-office workflows. It is designed for controllers, CFOs, owner-operators, holding-company operators, and regulated back-office teams. Agents prepare work and supporting evidence while people review decisions and retain control over irreversible actions. Services include workflow discovery, a controlled workflow trial, and an operating review. Agents are deployed in the customer's environment, where a workspace lets operators review evidence, decisions, and recorded activity. Workflow scope, permissions, source systems, and implementation are agreed for each engagement. -
10
Y Build
Y Build
Y Build is a multi-agent workspace for founders and product teams. It brings specialist AI agents into one shared environment to plan, build, review, and prepare product launches. Teams keep context, approvals, and deliverables visible across the workflow instead of juggling disconnected AI chats. Humans remain in control of decisions and approval gates while agents collaborate on real product work.Starting Price: $0 -
11
OpenAI Frontier
OpenAI
OpenAI Frontier is a new enterprise AI agent platform that helps businesses build, deploy, manage, and orchestrate fleets of AI agents that can perform real work inside existing systems, workflows, and data environments. It provides a unified framework where organizations can integrate AI agents, whether created by OpenAI or third parties, connect them with internal tools like CRM, data warehouses, ticketing systems, and other enterprise applications, and give them shared context, permissions, memory, and oversight so they can act reliably on business-relevant tasks. Frontier’s goal is to move AI agents from isolated pilots into production by providing features like shared business context, governance controls, onboarding workflows, observability, and secure access boundaries while allowing companies to centralize and scale intelligent automation in a way similar to how HR systems manage human work. -
12
Navarch
SagentLab
Navarch is the command layer for teams running AI coding agents. Crews plan, build, review, QA and ship real software across several repos at once, while you set priorities, budgets and approval gates. Every task lands on an append-only ledger with its pull request, before/after screenshots and an independent review attached, so you judge the work from evidence instead of re-reading diffs. Your repos stay in GitHub, your agents run on your machines or ours. -
13
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. -
14
Teradata Enterprise AgentStack
Teradata
Teradata Enterprise AgentStack is an integrated platform for building, deploying, and governing enterprise-grade autonomous AI agents that connect to trusted data and analytics, helping organizations move from experimentation to production-ready agentic AI with enterprise-level control. It unifies capabilities to support the full agent lifecycle; AgentBuilder accelerates the creation of intelligent agents using no-code and pro-code tools that integrate with Teradata Vantage and open-source frameworks; the Enterprise MCP delivers secure, context-rich access to governed enterprise data and curated prompts for agent intelligence; AgentEngine provides scalable execution of agents with consistent memory and reliability across hybrid environments; and AgentOps centralizes monitoring, governance, compliance, auditability, and policy enforcement so agents operate within defined guardrails. -
15
Redpanda Agentic Data Plane
Redpanda Data
Redpanda is an enterprise data streaming platform designed to make AI agents safe, governed, and effective across all organizational data. Its Agentic Data Plane connects agents to data sources across cloud, on-prem, and hybrid environments without creating risk or chaos. Redpanda unifies live data streams and historical data into a single, queryable layer. Built-in governance ensures every agent action is authorized, logged, and auditable. The platform enables agents to retrieve exactly the data they need with full context. Redpanda records and replays all agent activity for transparency and debugging. It helps enterprises move from experimental AI to production-ready agentic systems. -
16
Frantic
Frantic
Frantic is a web-based marketplace where people post funded bounties for AI agents to complete. A client defines a task and its acceptance criteria, then funds the worker payment and posting fee before the bounty is reviewed and published. Agents can enlist, find eligible work, claim tasks, submit deliverables, and receive the stated worker payment when a submission is accepted and payout is settled. The service also presents a public activity ledger with references for consequential actions, while keeping private work from being published in full. People can post and follow work through the website; agent operators can use published instructions, an HTTP API, or Model Context Protocol (MCP) to interact with the platform. Agent enlistment is free, while client charges are shown before payment.Starting Price: $0 -
17
Notenic
Notenic
Notenic is a runtime orchestration and governance platform designed to control and secure autonomous AI agents (“digital labor”) in real time, particularly in environments where failure carries regulatory, legal, or operational consequences. It operates as an infrastructure layer that sits directly in the execution path of AI systems, enforcing deterministic governance before any action reaches systems of record, rather than relying on post-output filters or prompt-level controls. It introduces a zero-trust runtime architecture built on core principles such as zero-persistence (no data retained after each session), execution-path control (policy enforcement at the moment of action), and independence from model context, ensuring that adversarial inputs cannot override governed behavior. Notenic provides a unified control plane that includes agent workforce management (treating AI agents as operational units with defined roles and supervision). -
18
Giselle
Giselle
Giselle is a software platform that creates powerful AI Agents through a visually intuitive, node-based interface, allowing you to link multiple LLMs and data sources so they can work together like members of a team. These Agents automate essential tasks such as market research, pull request reviews, and documentation, freeing human collaborators to focus on creative problem-solving. By visually connecting nodes that represent different AI functions or data channels, even sophisticated workflows become easy to build and maintain, much like game engines that transform complex processes into manageable systems. Through this approach, Giselle introduces a multi-agent orchestration that continuously evolves your documentation, accelerates product development, and integrates smoothly with GitHub to streamline your day-to-day engineering routines.Starting Price: $20/month/user -
19
Optimizely Opal
Optimizely
Optimizely Opal platform embeds advanced artificial intelligence across its Digital Experience Platform to help teams create, optimize, and personalize digital experiences with less manual effort and more strategic impact; at its core is Optimizely Opal, an AI agent orchestration and assistance system that connects context from across Optimizely One and executes tasks in workflows rather than just returning text responses, enabling teams to plan campaigns, generate content, build experiment ideas, analyze results, and guide optimization decisions with branded, context-aware AI agents. The AI capability spans content management, personalization, experimentation, analytics, and audience segmentation: it can suggest and auto-create experiment variations and test plans, summarize results with actionable recommendations, generate tailored digital content and messaging, and guide personalization based on real-time customer behavior and preferences.Starting Price: Free -
20
AxonQA
AxonQA
AxonQA is a connected QA workspace for teams that need to know whether a release is ready. Turn requirements and application context into organised test cases, plan and run manual checks, record or generate browser automation, test APIs, and track coverage, defects and drift. Cloud browser runs and a local agent support different environments. Run history, recordings and results stay linked to the work being tested, while release readiness brings evidence and accepted risks together into a decision teams can explain. Axon is the assistant across the workspace: it can explore an app, find project evidence, import work from connected tools, start or rerun tests, monitor completion, investigate failures, prepare evidence-backed bugs and answer release questions. The platform generates and executes tests; Axon helps users direct and act on the workflow, with confirmation before consequential actions.Starting Price: £69/month (Pro) -
21
aura
aura
aura is a search + agents workspace for teams whose work is spread across too many tools. It connects to apps like Gmail, Outlook, Microsoft 365, Google Workspace, Teams, Notion, Jira, calendars, docs, and web context. Users can ask a question in one conversation, and aura pulls the right information from connected sources without making them jump between apps. Once the context is found, aura can help with the next step. It can draft emails, create Jira tickets, send Teams updates, prepare summaries, schedule calls, create reminders, and keep the work tied to the original context. The core idea is simple: find what matters, understand what changed, and use agents to move the work forward from the same thread. aura is built for reviewable, source-backed work. Answers stay tied to sources, permissions stay scoped to the user’s connected tools, and actions can be reviewed before they go out.Starting Price: $18/month -
22
ServiceNow AI Agents
ServiceNow
ServiceNow's AI Agents are autonomous systems embedded within the Now Platform, designed to perform repetitive tasks traditionally handled by humans. These agents interact with their environment to collect data, make decisions, and execute tasks, enhancing efficiency over time. Leveraging domain-specific large language models and a robust reasoning engine, they possess a deep understanding of business contexts, enabling continuous improvement in outcomes. Operating natively across workflows and data systems, AI Agents facilitate end-to-end automation, boosting team productivity by orchestrating workflows, integrations, and actions throughout the enterprise. Organizations can deploy prebuilt AI agents or develop custom agents tailored to specific needs, all functioning seamlessly on the Now Platform. This integration allows employees to focus on more strategic initiatives by automating routine tasks. -
23
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 -
24
Tellenze
Tellenze
Tellenze is a shared work system for people and connected AI agents. Teams plan projects and requests, keep briefs, guidance and decisions beside tasks, and review outcomes in the same workspace. Work management, knowledge and learning stay connected so the next contributor starts with context. Tellenze is currently available through early access, with a public demo and free planning poker, retrospective rooms and prioritization workshop tools.Starting Price: €0; paid from €3.99/seat/month -
25
FlowRunner
Midnight Coders
FlowRunner is a visual workflow automation platform with native AI agent orchestration. Agents run workflows autonomously and pause for human judgment where it is required. The difference is how oversight works. On most platforms, approval is a step the workflow passes through. In FlowRunner, an agent invokes a human as a callable tool at runtime: it assembles the context and choices, routes to a named person by email, Slack, WhatsApp, or phone, and resumes with the answer. A run can stay suspended for up to a year, so a decision that takes three days does not time out. Audit trails, RBAC, and SLA tracking arrive at mid-tier, not in a custom enterprise contract, and a BAA is available. Every tier includes unlimited users, unlimited workflows, and the entire integration catalog, with nothing gated by seat or connector. Billing is per workflow run, not per action step. Agents use your own AI provider keys, with no markup on inference. Cloud-hosted or self-hosted.Starting Price: $0/month -
26
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 -
27
Superset
Superset
Superset is an agentic IDE for orchestrating terminal coding agents (Claude Code, Codex, and others) in parallel. Each task runs in an isolated git-worktree workspace; you switch between agents as they need attention. Includes scheduled automations, remote hosts, a diff viewer, and an MCP server. The source code is available on GitHub.Starting Price: Free -
28
Model Context Protocol (MCP)
Anthropic
Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.Starting Price: Free -
29
UiPath Maestro
UiPath
UiPath Agentic Orchestration is the orchestration layer of the UiPath Platform that connects and coordinates AI agents, robots, APIs, processes, and people to execute complex, long-running enterprise workflows end-to-end with governance, visibility, and continuous optimization. It advances beyond traditional automation by uniting generative AI-driven agents, RPA bots, and human intervention within clearly defined processes, enabling real-time collaboration, dynamic decision making, and proactive problem solving across systems and unstructured data. It provides unified orchestration, process modelling (including BPMN), integration across third-party systems, and monitoring so organizations can oversee execution, manage exceptions, and drive continuous improvement using data-driven insights. With built-in governance, compliance controls, and analytics, Agentic Orchestration simplifies managing distributed automation at scale while ensuring reliability. -
30
Minds
Minds AI Labs, Inc.
Minds is a synthetic market research platform for testing concepts, messages, brands, products, and strategic hypotheses with configurable AI-powered customer panels. Teams can define audiences, generate structured study plans, review them before execution, run qualitative and quantitative research, compare segments, and export evidence for analysis. Minds supports multilingual research, reusable audiences, shared workspaces, secure API access, and a public Model Context Protocol (MCP) server for agent workflows. It is designed for market researchers, insights teams, product teams, brand strategists, agencies, and founders who need fast directional evidence while keeping consequential decisions reviewable and validating high-stakes findings with human research.Starting Price: $0/month, paid from $39/month -
31
atEaseAI
atEaseAI
atEaseAI is an AI-powered post-sales operating system for Customer Success, Account Management, and Post-sales leaders at B2B SaaS companies. It brings customer context from CRM, support, email, meetings, and product usage into one workspace. Teams can understand account health, adoption, engagement, churn risk, and growth opportunities, then coordinate work across onboarding, retention, renewals, and expansion. Agent Caleb, its conversational AI agent, helps analyse accounts and portfolios, prepare meeting briefs and QBRs, and develop personalised recommendations and action plans. Teams review proposed work and approve consequential actions before execution through supported capabilities. Business Profile gives Agent Caleb context about each company’s goals, success criteria, customer journey, and playbooks. Automation & Workflows support consistent follow-through, while analytics provide reporting and team visibility.Starting Price: Free Trial -
32
OpenText Aviator Studio
OpenText
OpenText Aviator Studio is a no-code and pro-code platform for building, governing, connecting, deploying, and iterating enterprise AI agents. Designed for scale, security, and intelligent automation, it acts as an AI control plane for creating trusted agents across OpenText products and enterprise environments. Teams can rapidly design, test, and refine agents, develop multi-step workflows, chain reasoning, and deploy to different environments. Multi-agent choreography allows organizations to coordinate agents and systems across complex workflows, while a prompt library, reusable micro-capabilities, and standardized interfaces support consistent development and reuse. Aviator Studio includes enterprise-grade governance, permissions, policy enforcement, identity management, audit logging, data isolation, and guardrail settings to help prevent prompt injection and protect sensitive information. -
33
AvonAI
AvonAI
AvonAI keeps your AI agents aligned with your business by monitoring every customer conversation, controlling every interaction, and helping teams trust every outcome at scale. Your agents are live, handling real conversations with real customers, but agents do not manage themselves: they go off-script, drift from policies, and cannot keep up with business changes on their own. AvonAI reads every interaction and surfaces only the ones that matter, including policy violations, hallucinations, missing disclaimers, and other behavioral drift, so teams can find and fix risks in hours instead of weeks. It lets operations teams update agent knowledge and steer behavior in plain language, with no code and no developer ticket, while showing exactly what will change and allowing validation before anything goes live. AvonAI continuously tests agents against business directives, so the moment a model, prompt, or knowledge source changes, teams know whether the agent still behaves as intended. -
34
Kite
Kite
Kite is a design workspace for creating and refining interface designs as editable HTML and CSS, available in a browser and as desktop apps for Mac and Windows. Designers and developers can work on the same project as AI agents, reviewing and changing the underlying files instead of passing static mockups between tools. The workspace brings visual editing and browser previews together with a shared codebase, allowing people to iterate on designs while AI agents inspect and modify the same project. Kite connects with agent and coding tools through its documented integrations and Model Context Protocol (MCP) server. Teams can also import and export Figma designs. Kite is intended for product designers, front-end developers, and teams building or prototyping web interfaces with human and AI collaboration.Starting Price: $0 -
35
TRAE SOLO
TRAE
TRAE SOLO is described as a responsive coding agent built for real-world software development, seamlessly integrating into a developer’s full stack, editor, terminal, browser, documentation, design tools, and deployments, to bring ideas from concept to shipped reality. SOLO enables natural-language or voice-based input, letting you speak your requirements while it breaks down ideas into structured formats, selects the right context and tools, executes tasks across browsers, editors and terminals, autonomously writes and reviews code, handles testing and optimization, and deploys the final result, all visible in one unified workspace where you can switch between AI-led and manual modes at any time. It supports multiple agents working in parallel, each with its own model and context, giving you the flexibility to pick the best model for the task, monitor each agent’s progress in real time, and intervene or redirect as needed.Starting Price: $3 per month -
36
Plano
Katanemo Labs
Plano is an AI-native delivery infrastructure platform designed to help organizations build, deploy, and manage agentic applications more efficiently. The platform provides a unified data plane that handles essential AI infrastructure tasks such as agent routing, orchestration, observability, guardrails, and model management. Developers can connect to multiple large language models through a single API while maintaining centralized access controls and operational consistency. Plano supports any programming language or AI framework, allowing teams to integrate it into existing development workflows without vendor lock-in. The platform also provides rich tracing and monitoring capabilities that help teams analyze agent behavior and improve performance over time. By offloading infrastructure complexity, Plano enables developers to focus on creating intelligent agent experiences and accelerating production deployment.Starting Price: Free -
37
readywhen
readywhen
readywhen is a cloud-based AI assistant for owner-led small businesses that helps keep customer and internal commitments moving. It connects to tools such as Gmail, Google Calendar, Google Meet, Slack and Notion, then identifies promises, decisions, follow-ups and deadlines across messages, meeting records and documents. The service builds context around customers, suppliers, work and prior conversations, and presents priorities, reminders and suggested next steps. It can prepare drafts such as replies, follow-up notes, quotes and invoice chasers for review; connected actions wait for user approval before being sent. A workspace app provides a place to review what is due, underway or waiting. ready when is aimed at people running small businesses and supports coordination across common email, calendar, chat, meeting and document tools without requiring those tools to be replaced.Starting Price: $0 -
38
Atono
Atono
Teams don't have a coding problem anymore. They have a context problem. AI made producing software cheap, which exposed product context as the scarce resource — and agents can only act on context they can reach. Atono is a product engineering platform that keeps product context connected to the work. Stories and epics, Scrum and Kanban workflows, feature flags, and real usage data live in one system. The story is the hub: a single story carries its acceptance criteria, the flag controlling its rollout, the usage data proving it worked, and the AI context agents read. In a conventional stack those four live in four separate products, and context is destroyed at every handoff. A locally-run MCP server exposes 41 tools to Claude Code, Cursor, VS Code/Copilot, Windsurf, and Codex, so agents work from what your team decided instead of inferring it from code. Best fit: post-MVP SaaS teams of 25-250 engineers. Free for up to 25 users. Starter $19/user/month. Growth $39/user/month.Starting Price: $19/user/month -
39
ReByte
RealChar.ai
Action-based orchestration to build complex backend agents with multiple steps. Working for all LLMs, build fully customized UI for your agent without writing a single line of code, serving on your domain. Track every step of your agent, literally every step, to deal with the nondeterministic nature of LLMs. Build fine-grain access control over your application, data, and agent. Specialized fine-tuned model for accelerating software development. Automatically handle concurrency, rate limiting, and more.Starting Price: $10 per month -
40
TaskirAI
Phenomena Technologies Inc
TaskirAI is an AI project operations platform for software development teams planning and coordinating work alongside AI coding agents. The vendor describes a workspace combining sprint planning, Kanban boards, interactive Gantt schedules, and risk registers, with project plans and execution backlogs generated from product briefs. It also describes virtual project-manager chat for coordinating agents through the Model Context Protocol (MCP), with human review and approval steps. TaskirAI is intended to connect project planning with AI-assisted software delivery, supporting engineering managers, technical product managers, agile leads, and developers who need visibility into project schedules, task execution, risks, and agent-assisted workflows. -
41
Origon
Origon
Origon is a full-stack AI agent development and operations platform engineered as a unified “Agentic Operating System” that supports the entire lifecycle of autonomous AI systems from design to deployment and observability. It offers an intuitive Studio for visual, drag-and-drop agent creation and configuration, Sessions for real-time observation, behavior tracing, and debugging, and Insights dashboards for performance analytics, reliability tracking, and outcome measurement in one place. Origon runs natively on dedicated infrastructure optimized for low-latency performance and security, avoiding dependency on external cloud APIs, and includes a built-in knowledge engine that connects agents to contextual memory and domain data so responses stay grounded and consistent. It supports hundreds of connectors and APIs, including chat, voice, WhatsApp, SMS, email, and telephony, and lets agents execute code and interact with real systems with a single click.Starting Price: $200 per month -
42
CosmOS
HP IQ
CosmOS is an AI-first operating system and intelligent orchestration platform originally developed by Humane and now being advanced by HP IQ, HP’s AI innovation lab focused on embedding contextual intelligence across devices. Unlike traditional operating systems that rely on manual app workflows, CosmOS is built around a network of specialized AI agents and an “AI Bus” orchestration layer that routes information between hardware, models, and services so the system can anticipate needs, execute multi-step tasks, and deliver context-aware assistance without users having to launch individual applications. It supports multimodal interaction, including voice, text, vision, gesture, and touch, allowing users to interact naturally and seamlessly while the system learns from behavior to personalize responses and adapt over time. -
43
port22
port22
port22 puts your coding agents in your pocket. Run the agent, pair your iPhone, and drive Claude Code, Codex, or OpenCode from anywhere while reading the live transcript and approving actions as the agent works. It attaches to the session already running in your terminal rather than starting or forking a new one, so you can continue working with the same live process you began at your desk. Every token is streamed to your phone as the agent thinks, edits, and runs, while push notifications arrive when it finishes or needs your approval. Live status remains visible through the Dynamic Island and lock screen, so you can follow every active session without repeatedly opening the app. port22 works over your local network at your desk and automatically switches to an end-to-end encrypted relay when you leave Wi-Fi, keeping the same session over cellular.Starting Price: Free -
44
Paperclip
Paperclip Labs
Paperclip is an open-source AI agent orchestration platform that enables individuals and organizations to build, manage, and govern teams of autonomous AI agents working toward shared business objectives. Rather than interacting with isolated AI tools, users define company-level goals, assign specialized AI agents to different roles, and oversee execution through a centralized organizational structure. The platform supports agents from multiple providers and runtimes, allowing businesses to coordinate development, marketing, research, operations, content creation, and other workflows through a unified management system. With built-in governance, budgeting, audit trails, and goal alignment, Paperclip helps organizations scale AI-driven work while maintaining transparency and control.Starting Price: Free -
45
Construct Computer
Construct Computer
Construct Computer is a cloud-based AI agent workspace for solo founders and small teams. Users assign work through a browser-based desktop or chat-first web interface. Agents can search the web, browse interactive sites, run code in a sandbox terminal, manage files, create documents, and use connected apps. The workspace includes persistent files and memory, an agent email inbox, a calendar, reusable workflows, activity records, and shared team resources. Users can inspect or correct memory and review or interrupt agent work. Construct Computer connects with Slack, Telegram, Discord, and services in its Composio integration catalog; workspaces can also use custom MCP servers and private apps. Agents can delegate bounded subtasks and run scheduled jobs in the cloud. Plans set limits for agents, task steps, scheduled work, parallel jobs, command runtime, and storage. A mobile web interface is available in a phone browser; the vendor says it is not an App Store app.Starting Price: $9/month -
46
Unstoppable AI
Unstoppable AI
Unstoppable is a desktop agent IDE for software developers and engineering teams working with AI coding agents. It brings Claude Code, Codex, Cursor, and other command-line agents into one workspace, where tasks can run in parallel across repositories with separate Git worktrees, terminals, and browser tabs. Users can create repeatable workflows for code review, issue triage, ticket planning, and other development tasks, and connect project context through GitHub, Linear, and Model Context Protocol (MCP) servers. The desktop app is available for macOS and Windows, with web agents and a mobile companion for remote access to workspaces. App features are free; agent usage can rely on a user's existing provider subscription or optional AI credits.Starting Price: Free -
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Cooperly
Cooperly
Cooperly is the Human Operating System for founder-led, AI-native teams. It turns the people context founders keep in their heads into a living operating layer, so ownership stays clear, friction appears early, and managers know what to do next without extra bureaucracy. Built for growing companies of 15–50 people, Cooperly combines: - Coop Profiles for working-style, communication, feedback, and support context. - Pulse and Team Fundamentals for recurring signals across trust, conflict, commitment, accountability, results, workload, clarity, and progress. - An evidence-backed Team Roadmap with priorities, actions, owners, and follow-up. - Member Facts & Memories, Candidates, and Random Coffee. - A permissioned AI Context Layer and MCP that gives approved tools selected, read-only team context. Cooperly automates noticing, remembering, and preparation—not human judgement. Start with a 30-day full-access trial, no card required, or a free four-week Guided Rollout.Starting Price: £20/month -
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Sapiom
Sapiom
Sapiom is a financial and access infrastructure platform that enables AI agents and API-driven applications to securely access, provision, and pay for third-party services, APIs, tools, and compute in real time without manual onboarding, individual API-key management, or pre-purchased credits. It provides a central dashboard where organizations can monitor total spend, agent activity, service usage, and real-time analytics, set rule-based limits on spending and usage, and enforce governance policies so autonomous agents operate safely within defined financial guardrails. With its SDKs and APIs, Sapiom lets developers connect agents to a curated network of services (such as verification, web search, AI models via OpenRouter, image/audio generation, and browser automation), automates authentication and micro-payments per use, and tracks every API call, cost, and execution trace for visibility and control.Starting Price: Free -
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Agent Development Kit (ADK)
Google
The Agent Development Kit (ADK) is a flexible, open-source framework for building and deploying AI agents. It is tightly integrated with Google’s ecosystem, including Gemini models, and supports popular large language models (LLMs). ADK simplifies the development of both simple and complex AI agents, providing a structured environment for building dynamic workflows and multi-agent systems. With built-in tools for orchestration, deployment, and evaluation, ADK helps developers create scalable, modular AI solutions that can be easily deployed on platforms like Gemini Enterprise Agent Platform or Cloud Run.Starting Price: Free -
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SubQ Snap 1.1
Subquadratic
SubQ Snap is a hosted multimodal decision model for developers building AI agents and enterprise workflows. Through Subquadratic’s API, applications send text or image context with defined questions and receive structured answers such as labels, choices, scores, and probabilities. This supports tasks including tool and file selection, routing, triage, guardrails, ranking, classification, and checking whether a test or result meets specified criteria. The model accepts up to 384K tokens of context and supports image input. It is designed for bounded decisions rather than open-ended text generation, so it can be used alongside a language model that handles planning or writing. Public-preview API documentation includes request examples, model access details, and decision formats.Starting Price: $0.05/1M input tokens