Alternatives to Kanwas
Compare Kanwas alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Kanwas in 2026. Compare features, ratings, user reviews, pricing, and more from Kanwas competitors and alternatives in order to make an informed decision for your business.
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1
Amp
Amp Code
Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.Starting Price: Free -
2
HQ
Indigo AI
HQ is the shared AI context layer for teams, giving the whole team and every AI tool one workspace to work from, with knowledge, skills, and workflows compounding in one place, and any agent running on top. It works as an operating system for AI workers over Claude Code, Cursor, Codex, ChatGPT, and Claude chat through MCP, so every teammate and every agent can start from the same shared context instead of separate chat histories, scattered files, and siloed workflows. HQ turns one person’s best work into team infrastructure: any prompt or workflow can become a reusable /command, then /hq-sync ships it to the whole team so anyone can run it in one step. Knowledge that usually lives across decisions, docs, playbooks, policies, projects, code, and ideas accumulates in HQ as the team works, creating one source of truth that every agent can search, reuse, and build on. Agents can be deployed into email and Slack, acting on top of the team’s skills and knowledge with full context. -
3
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 -
4
Visona
Visona
Visona is what happens when you smash a whiteboard, a task manager, and an AI team into one infinite canvas. Most tools force you into folders, lists, and tiny tabs. But your brain doesn't work like that—especially if you are wearing multiple hats (founder, builder, writer). Visona is a Thinking OS designed to stop the context-switching drain. What makes Visona different? - One Canvas, No Tabs: Work spatially. Zoom out to see your whole startup roadmap, zoom in to write a single email. One canvas for everything that matters: AI chat, notes, tasks, documents, media, and AI connected spatially. No more hunting through folders. - Meet Your "Vistas": These aren't just chat bots. They are AI-powered versions of you. Create a @CTO-You, a @Marketer-You, or a @Writer-You. They have their own memories and context, so you can switch roles without resetting your brain. - Live Widgets: AI Chat, Notes, Tasks, Kanban boards, Tables, Media and Docs live side-by-side on the board.Starting Price: $30/month/user -
5
Qoder
Qoder
Qoder is an agentic coding platform engineered for real software development, designed to go far beyond typical code completion by combining enhanced context engineering with intelligent AI agents that deeply understand your project. It allows developers to delegate complex, asynchronous tasks using its Quest Mode, where agents work autonomously and return finished results, and to extend capabilities through Model Context Protocol (MCP) integrations with external tools and services. Qoder’s Memory system preserves coding style, project-specific guidance, and reusable context to ensure consistent, project-aware outputs over time. Developers can also interact via chat for guidance or code suggestions, maintain a Repo Wiki for knowledge consolidation, and control behavior through Rules to keep AI-generated work safe and guided. This blend of context-aware automation, agent delegation, and customizable AI behavior empowers teams to think deeper, code smarter, and build better.Starting Price: $20/month -
6
Cisco AI Canvas
Cisco
The Agentic Era marks a transformative shift from traditional application-centric computing to a new frontier defined by agentic AI, autonomous, context-aware systems capable of acting, learning, and collaborating within complex, dynamic environments. These intelligent agents don’t just respond to commands; they perform complete tasks, retain memory and context via large language models tailored for specific domains, and can scale across industries into the tens of millions. This evolution brings the need for a new operational mindset, AgenticOps, and a reimagined management interface built around three guiding principles, keeping humans thoughtfully in the loop to provide creativity and judgment, enabling agents to operate across siloed systems with cross-domain context, and deploying purpose-built models fine-tuned for their distinct tasks. Cisco brings this to life through AI Canvas, the industry’s first generative, shared workspace driven by a multi-data, multi-agent architecture. -
7
Subspace
Subspace
Subspace is an AI-native agent workspace designed to help developers and teams manage, coordinate, and collaborate with multiple coding agents in a single unified environment while preserving context across sessions. Instead of treating each AI interaction as isolated, the platform builds persistent memory in the background by compressing every conversation into structured observations such as decisions, blockers, and progress, which are continuously synthesized into a clear, evolving project state. This shared memory belongs to the workspace rather than any individual tool, allowing different agents like Claude Code, Codex, or others to seamlessly pick up where previous sessions left off without requiring repeated explanations or manual context transfer. Subspace integrates terminals, files, documentation, browser views, and git workflows into organized workspaces, enabling users to run multiple agents side by side and switch between projects almost instantly.Starting Price: $12 per month -
8
Supernormal
Supernormal
Supernormal helps agencies and client-facing teams complete work in a flash. How it works: The desktop app (Mac and Windows) captures meetings without a bot joining the call. When your meeting ends, the web app opens with your transcript, summary, and action items. Work with the AI agent to turn meeting notes into campaign briefs, pitch decks, proposals, follow-up emails, project plans, and Slack messages. What you get: - Bot-free meeting capture - AI agent that generates deliverables in your voice - Context-aware outputs - Deliverables ready to polish and send - MCP to bring your meeting context into tools like Claude and ChatGPTStarting Price: $20/month -
9
Claude Agent SDK
Claude
The Claude Agent SDK is a developer toolkit that enables the creation of autonomous AI agents powered by Claude, allowing them to perform real-world tasks beyond simple text generation by interacting directly with files, systems, and tools. It provides the same underlying infrastructure used by Claude Code, including an agent loop, context management, and built-in tool execution, and is available for use in Python and TypeScript. With this SDK, developers can build agents that read and write files, execute shell commands, search the web, edit code, and automate complex workflows without needing to implement these capabilities from scratch. It maintains persistent context and state across interactions, enabling agents to operate continuously, reason through multi-step problems, take actions, verify results, and iterate until tasks are completed.Starting Price: Free -
10
SpawnHQ
SpawnHQ
SpawnHQ is a software-as-a-service platform that lets users deploy, configure, and manage autonomous AI agents in minutes without writing code or setting up infrastructure by offering a marketplace of pre-built, skill-based agents trained on your brand context that run continuously on managed compute and integrate with tools like Discord, web chat widgets, Twitter, SEO services, and CRMs. Users pick a skill, such as support bot for customer questions, SEO agent for monitoring rankings and drafting content, outbound agent for lead discovery and outreach, or social and content engines, configure integrations and brand context, and deploy agents that act on natural language commands and run 24/7 on autopilot, executing tasks such as research, CRM updates, content generation, and automated responses. It handles managed compute, AI model routing (Claude, GPT, Gemini), scheduling, logs, reporting, and guardrails so agents can think and act independently.Starting Price: $59 per month -
11
Ajelix
Ajelix
Ajelix is an agentic AI chat that autonomously executes projects from simple instructions. Forget session resets, your data, context, and history persist in a collaborative workspace for seamless reuse, sharing, and embedding into workflows. Finance, ops, and marketing leaders deploy it to generate ready-to-use outputs: interactive dashboards, standalone apps, polished reports, and automated workflows. Upload massive datasets (1GB spreadsheets, CSVs, 20+ sources), then command autonomous agents to build weekly KPI trackers, revenue forecasts, inventory optimizers, or campaign analyzers. Receive complete, leadership-ready deliverables, not just insights. Our "thinking mode" handles multi-step reasoning, while agentic execution previews and deploys interactive assets. Every output becomes a reusable, schedulable template for teams. Founded in 2022 by Arturs (CEO) and Agnese (COO), Ajelix bootstrapped to 300K+ users worldwide via customer demand. We bridge data overload to leadershipStarting Price: $20 per month -
12
Maestri
Maestri
Maestri is a macOS-native productivity and development workspace designed to orchestrate multiple AI coding agents, terminals, notes, and visual thinking tools within a single infinite canvas, allowing developers to manage complex workflows without losing context. Instead of relying on traditional terminal tabs and fragmented tools, it provides a spatial interface where users can place, connect, and monitor multiple agents simultaneously, each running tasks such as coding, testing, or debugging in parallel. It enables agents to communicate directly with each other, delegating tasks, sharing outputs, and collaborating autonomously, while users maintain full visibility and control over the entire process. It supports sketching and diagramming directly alongside active agents, allowing developers to map architectures, flows, and ideas in real time without switching tools.Starting Price: $18 one-time payment -
13
McCarren AI
McCarren
McCarren is an AI-powered proposal platform purpose-built for capture and proposal teams, automating every stage of the RFX lifecycle. McCarren’s Semantic AI capture agent monitors federal, state, local, and grant portals, surfacing hidden opportunities. Automated solicitation shredding extracts deadlines, deliverables, and FAR clauses, generating a live compliance matrix for gap tracking. Proposal teams draft compliant responses inside a native Microsoft Word add-in, leveraging a smart content library and context-aware AI . FedRAMP-aligned infrastructure, single-tenant SaaS, zero-data-training; McCarren safeguards sensitive data while cutting proposal cycles by up to 80% and improve win rates by 30%. -
14
Axiamatic
Axiamatic
Axiamatic is an AI-native control plane for enterprise transformation, designed to help transformation teams see, decide, and act at every step of complex programs. It continuously maps live program work into a shared context, building an always-on digital twin that preserves every decision, rationale, dependency, artifact, and signal as work evolves. It ingests and analyzes structured and unstructured data across enterprise systems, documents, tickets, workshops, conversations, and meetings, creating a Living Context Graph that keeps full program context available instead of reducing reality to static status summaries. Specialized transformation agents detect structural breakdowns as they form, including translation loss, cross-stream drift, scope drift, missed requirements, dependency conflicts, stakeholder misalignment, and emerging change resistance. -
15
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 -
16
Coommit
Coommit
Coommit is a next-generation video meeting platform that transforms every call into an active workspace. Teams meet in persistent rooms, collaborate visually on a shared canvas, and work with a real-time AI agent that understands the conversation, answers questions, captures key decisions, creates content, and completes tasks on their behalf. The all-in-one canvas brings together Google Docs, web browsers, files, text, screen recording, remote control, and much more, allowing everyone to work together without constantly switching tools. The room stays active after the call, keeping every idea, document, decision, and action in one place. With instant access and no extra bots or extensions, Coommit creates a continuous workspace where teams can meet, build, delegate work to AI, and move projects forward without losing context between calls.Starting Price: $29/month/user -
17
Spacesuit
Spacesuit
Spacesuit is a productivity and personal thinking tool designed as a “futuristic canvas” where users can organize ideas freely without the constraints of traditional folders or hierarchical systems. It provides a flexible grid-based workspace where anything can be placed anywhere, allowing thoughts, notes, and resources to evolve naturally as users think and create. Instead of rigid structures, it uses resizable “cards” as containers for ideas, which can be moved, resized, and connected across multiple grids to reflect different contexts or workflows. It includes powerful navigation features like a global search bar and grid linking, enabling users to jump between related ideas and access information instantly. Spacesuit integrates AI processors that connect with models from providers such as OpenAI, Anthropic, Google, and others, allowing users to generate insights and dynamic content tailored to their context.Starting Price: $29.99 per month -
18
Complete
Complete
Complete is a collaborative AI workspace that enables teams and AI agents to work side by side in a unified environment designed to execute real workflows from planning to delivery. It centralizes conversations, files, and outputs into a single source of truth so teams can maintain shared context while agents perform tasks such as debugging, documenting, testing code, or generating business deliverables. It introduces structured execution threads that allow agents to run outcome-driven tasks while teams monitor progress and iterate on real outputs. Complete supports running multiple AI models in parallel, enabling specialized agents for coding, testing, and reasoning to operate within the same workflow. It integrates with project management and development tools and can bring AI directly into the IDE to accelerate coding and collaboration.Starting Price: $25 per month -
19
PlatformPilot
DynG AI
PlatformPilot is a company brain for AI-first teams. It captures how your company actually works, your decisions, playbooks, and tribal knowledge, and turns it into a living memory your team and your AI agents can use to answer questions and take action across all your tools. Unlike search tools that only retrieve, PlatformPilot reasons across your systems, shows the why behind every answer, and acts on your own playbooks, in your own cloud, getting sharper every time it is used. It connects to your stack through the Model Context Protocol (MCP), so it works as a shared memory layer inside the tools your team already uses, including Claude Code, Claude Desktop, and OpenAI-based agents. Memory evolves as you work. - Living memory that learns from outcomes, not just stores notes - Reasoning across all your tools. We support +200 tools. - Plain-language search over your team's decisions, playbooks, and history - Self-organizing knowledgeStarting Price: $100 -
20
Asimov
Reflection AI
Asimov is a code research agent that understands and works with complex enterprise codebases. Rather than focusing on code generation, it prioritizes codebase comprehension, a task that consumes up to 70% of developers’ time, by mapping relationships between code, architecture, and team decisions; maintaining institutional knowledge as engineers join and leave; and learning organically from team interactions and documentation. It indexes your entire development environment, including code repositories, architecture docs, GitHub threads, and Teams conversations, to build a persistent, cross‑cutting understanding of systems and to maintain context across architectural changes and team transitions. By using expanded context windows instead of traditional retrieval methods, Asimov can dynamically reference any part of a codebase during reasoning, enabling more accurate synthesis across disparate components. -
21
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 -
22
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 -
23
condense.chat
condense.chat
condense.chat is an LLM input compression API and drop-in proxy that shrinks prompts, retrieved documents, tool outputs, and repeated agent context before they hit upstream models. Less context, same Claude Code; its harness intercepts an agent’s growing session history and passes it through compression models before it reaches the main model, helping long-running coding agents start each next turn with fewer tokens. Condense sits between an app and the upstream LLM provider, tracks the conversation as a content-addressed chain, and transparently compresses repeated context on the way upstream. Developers can point their SDK at the Condense provider route, add a Condense key, keep their existing provider key, and change nothing else. It supports Anthropic and OpenAI-compatible routes, plus pass-through behavior for other provider paths such as model lists and embeddings. -
24
agnexus
agnexus
Agnexus is a platform for deploying, hosting, managing, and scaling Model Context Protocol (MCP) servers, which act as standardized interfaces that let AI agents such as Claude, ChatGPT, or other LLM-based systems reliably access real data sources and services so agents can perform real tasks with context. It provides one-click deployment of MCP servers by uploading code or connecting GitHub repositories and handles the infrastructure, configuration, and backend operations, so developers and teams don’t need to set up Docker, Kubernetes, or cloud DevOps manually. It is model-agnostic by design, meaning MCP servers deployed through Agnexus can work with any agent that implements MCP, and users get enterprise-grade hosting features such as auto-scaling, uptime SLAs, secure access keys with granular permissions, analytics, and monitoring for usage and performance.Starting Price: €29 per month -
25
XHawk
XHawk
XHawk is an AI-native developer platform designed to transform scattered code, documentation, and team knowledge into a unified, searchable system of context. It captures every coding session, commit, and decision, automatically organizing them into a living knowledge graph that evolves with the codebase. It converts code changes and development activity into structured, indexed documentation, ensuring that knowledge stays synchronized with every pull request and eliminating gaps between code and documentation. It provides a shared context layer that enables both humans and AI coding agents to plan, code, review, test, and operate systems with a consistent understanding, reducing hallucinations caused by missing context. XHawk includes features such as session intelligence, where every git commit syncs session history and agent reasoning, creating a permanent, searchable record of how software is built. -
26
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 -
27
Timeless
Timeless
Timeless is the first platform where your conversations directly build and trigger AI agents, turning spoken moments into actionable tasks. Instead of manually capturing decisions or follow-ups, Timeless listens during meetings and extracts the ideas, deadlines, and context your team already shares out loud. With Rooms, all conversations around a client, project, or topic stay organized, allowing the right agents to activate automatically. The platform identifies important moments—such as “Let’s send the proposal”—and immediately starts the appropriate workflow. Teams can simply talk, and Timeless converts verbal commitments into completed work. By transforming meetings into automation triggers, Timeless ensures that every promise, task, and decision gets done without manual effort.Starting Price: $20 per month -
28
Agentation
Agentation
Agentation is a visual feedback tool designed for AI coding workflows that transforms user interface annotations into a structured, machine-readable context that AI agents can understand and act on. It allows users to click directly on elements within a live application, add notes or feedback, and generate formatted output that can be pasted into AI tools such as Claude Code, Cursor, or other coding agents. This output includes precise technical details such as CSS selectors, source file paths, component hierarchy, and computed styles, enabling agents to locate and modify the exact part of the codebase without ambiguity. By capturing both visual context and user intent, Agentation eliminates the need to describe UI issues in natural language, reducing misinterpretation and improving the accuracy of AI-generated fixes. It operates through an interactive overlay that highlights elements on hover and supports structured annotations. -
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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 -
30
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 -
31
JetBrains Air
JetBrains
Air is an agentic development environment created by JetBrains that allows developers to delegate coding tasks to multiple AI agents and manage them within a single, unified workspace. Instead of functioning as a simple chat-based assistant, it is designed as a full development environment where tools are built around AI agents, enabling users to guide, supervise, and refine their output more effectively. Developers can run several agents concurrently, each working on different tasks in isolated environments, which helps prevent conflicts and improves productivity when handling complex projects. It supports integration with multiple AI systems such as Claude, Gemini, Codex, and other coding agents, allowing flexible, model-agnostic workflows within the same interface. Users can define tasks with rich context by referencing specific files, commits, classes, or code elements, ensuring that the agents generate more accurate and relevant results based on the actual codebase.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 -
33
Devplan
Devplan
Devplan is an AI-powered workspace that turns product ideas into execution-ready plans with minimal overhead. It connects to GitHub, Linear, and web context to generate detailed PRDs, user stories, tech designs, and AI-executable prompts. Devplan learns your codebase, product goals, and market to deliver context-aware, IDE-ready instructions. With built-in collaboration, roadmap prioritization, and CLI integration, teams can plan and ship up to 3× faster. Simple pricing at $10/mo (billed annually) with a 14-day free trial.Starting Price: $15/month -
34
GLM-5V-Turbo
Z.ai
GLM-5V-Turbo is a multimodal coding foundation model designed for vision-based coding tasks, capable of natively processing inputs such as images, video, text, and files while producing text outputs. It is optimized for agent workflows, enabling a full loop of understanding environments, planning actions, and executing tasks, and integrates seamlessly with agent frameworks like Claude Code and OpenClaw. It supports long-context interactions with a context length of 200K tokens and up to 128K output tokens, making it suitable for complex, long-horizon tasks. It offers multiple thinking modes for different scenarios, strong vision comprehension across images and video, real-time streaming output for improved interaction, and advanced function-calling capabilities for integrating external tools. It also includes context caching to enhance performance in extended conversations. In practical use, it can reconstruct frontend projects from design mockups. -
35
Squire AI
Squire AI
Get away from essay writing, Squire writes pull request descriptions for you. Keep your team in sync with a clear description and changelog. With an agentic workflow, Squire has a team reviewing your PR with the full context of your codebase. Able to catch many issues like systemic breaking changes, security concerns, and even small spelling mistakes. We improve code quality and get your PR into production. Squire is a context-aware agent who works with you to write pull request descriptions, review PRs, and learn how you like your code reviewed. Squire learns how your team reviews code and fits your style with explicit configuration and learning from your team's interactions. Map and synchronize ownership and responsibility across your entire engineering stack. Maintain compliance by applying and maintaining rules on your engineering components.Starting Price: $20 per month -
36
Vokal
Vokal
Vokal is a collaboration space for teammates and AI agents, built so founders and product teams can run agent work where the team can see it, review it, and reuse what matters. It gives human-agent work a shared place to start, move, stay visible, and become reusable context, instead of leaving agent runs, assumptions, and decisions trapped in private sessions across Claude Code, Codex, Cursor, ChatGPT, or other tools. Vokal connects channels, tasks, docs, files, apps, agents, memory, Knowledge Base, identity, access, runtime, and event logs around the work, helping teams keep output aligned, reviewed, controlled, and reusable. Agents can work in shared channels with named owners, roles, instructions, sources, statuses, permission scopes, app grants, memory scope, local project-file grants, and visible activity. Teams can use pre-built roles for engineering, product, growth, support, operations, research, and customer work, or bring their own local Codex, Claude Code, Hermes, etc.Starting Price: $20 per month -
37
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 -
38
Claude Sonnet 4.5
Anthropic
Claude Sonnet 4.5 is Anthropic’s latest frontier model, designed to excel in long-horizon coding, agentic workflows, and intensive computer use while maintaining safety and alignment. It achieves state-of-the-art performance on the SWE-bench Verified benchmark (for software engineering) and leads on OSWorld (a computer use benchmark), with the ability to sustain focus over 30 hours on complex, multi-step tasks. The model introduces improvements in tool handling, memory management, and context processing, enabling more sophisticated reasoning, better domain understanding (from finance and law to STEM), and deeper code comprehension. It supports context editing and memory tools to sustain long conversations or multi-agent tasks, and allows code execution and file creation within Claude apps. Sonnet 4.5 is deployed at AI Safety Level 3 (ASL-3), with classifiers protecting against inputs or outputs tied to risky domains, and includes mitigations against prompt injection. -
39
Viven
Viven
Viven creates “Digital Twins” for employees by building personalized language models trained on a person’s actual work, emails, meetings, documents, and chat threads, so that their twin thinks, writes, and acts like them. The twin serves as an always-on assistant; it recalls critical context, prepares individuals before meetings, nudges teams when things are stuck, drafts follow-ups, and allows colleagues to ask it questions directly so the work can progress without the original person being present. Enterprise-grade deployment options support SaaS, private VPC, or on-premises environments, with fine-grained role-based access controls, full audit trails, and strong data governance built in. Viven integrates with tools like Gmail, Slack, Microsoft Teams, Outlook, Google Drive, OneDrive, Jira, Salesforce, and many others, so that the twin has a complete view of your working context. -
40
Runbear
Runbear
Runbear lets teams build shared AI teammates that work inside Slack and Microsoft Teams. Each teammate can join conversations, read company context, and use 2,000+ connected tools to finish workflows without sending people to another app. Teams use Runbear to draft CRM updates, route support requests to the right owner, prepare meeting briefs, answer from approved company knowledge, create Jira or Linear tickets, and automate onboarding follow-ups. Shared agents support per-user authorization, so actions in systems such as HubSpot, Salesforce, Zendesk, Google Drive, Notion, and Confluence run with the right permissions. Runbear connects company knowledge with business tools while keeping each workflow in the conversation where work begins. Teams can configure and deploy agents in minutes without code. Runbear is SOC 2 Type II certified and provides audit logs for shared-agent activity.Starting Price: $79 per month -
41
CodeGPT
CodeGPT
Discover the AI Pair Programming extension for VSCode, Create your own AI Copilots with the Playground and Unleash new AI Apps with the API. Unlock the Power of Your Own AI Agents: Integrate Personalized Context and Knowledge Across all Coding Languages. Easily Train Your AI Copilot with Your Own Files on the Playground. Create and Share a Copilot in Just 5 Minutes, or Achieve Custom AI Copilot Solutions Seamlessly Through the API A always free extension for VS Code that boost coding abilities using chat assistant and code completion. Simply download the extension, add your own API key and start AI-coding for free. Enhanced solution that allows AI agents creation with specific context information, so you can design your own AI copilots and integrate it wherever you want! API connection to develop AI-powered apps effortlessly handling all the complexities of fine-tuning LLMs so you can focus on creating without the technical issues.Starting Price: Free -
42
Second Me
Second Me
Second Me is the first open-source AI identity system that delivers 100% private, deeply personalized AI agents built specifically to represent your authentic self. It doesn't just learn your preferences, it comprehends your unique thinking patterns, represents you across different contexts, forms collaborative networks with other Second Mes, and creates new value in the emerging agent economy. Second Me features Hierarchical Memory Modeling (HMM), a three-layer structure that enables your AI self to rapidly recognize patterns, adapt, and evolve alongside you. Its Personalized Alignment Architecture (Me-alignment) transforms your scattered data into deep personalized understanding, outperforming leading retrieval-augmented generation models by 37% in user understanding. Operating with 100% privacy, Second Me can run locally, ensuring you retain complete control over your personal data, sharing it only with your explicit permission. -
43
Intrascope
Intrascope
Intrascope is a BYOK team chat workspace for using multiple LLMs (GPT, Claude, DeepSeek, etc.) in one place, with shared persistent context called “Manifests”. Instead of prompts and decisions living in personal chat histories, teams keep reusable project context (docs, guidelines, tone, requirements) so outputs stay consistent and knowledge doesn’t disappear when someone leaves. Connect your own API keys, pay per usage (not per seat), and control which models get used per project.Starting Price: $39 month / $299 one-time -
44
Bloome
Bloome
Bloome is an AI-native group chat and agent platform built to let Claude, ChatGPT, DeepSeek, and any agent work as one team. You are not replaced; you are amplified. Instead of using a single assistant in a separate tab, Bloome brings people, agents, tools, and shared context into one conversation where agents are first-class members with profiles, member-list presence, DMs, threads, and mentions. Users can call an agent by mentioning it, reply to a thread or task, or bring several agents into one chat so they can delegate, share context, work in parallel, review each other’s output, and push toward the sharpest version. Bloome supports cross-role collaboration, where one agent drafts, another pushes back, and another catches what is missing, while human teammates stay in the same working thread to review and steer the work. Every discussion, revision, and decision stays in one shared workspace that anyone with access can revisit later. -
45
Text
Text Inc.
Text is an AI customer service platform - AI agent, live chat, and help desk in one place. Provide support, capture leads, and convert tickets into sales. Text surfaces buying signals in ordinary chats. Your team can monetize them before the moment passes. • AI agent: resolves routine tasks, so your team handles only the chats that need a human • Live chat: triggers proactive chats based on visitor behavior, so browsers buy before they leave • Help desk: routes chats to right agents with full context, so nothing gets lost • Copilot: surfaces reply suggestions and customer history on demand, so every response is accurate and fast • Lead capture: qualifies visitors and collects details after hours, so follow-ups start with context • Workflows: connects Text to other tools, so routing, tagging, and follow-ups run automatically Service that resolves faster, captures more, and turns tickets into sales. Trusted by 35,000+ companies. Free for 14 days.Starting Price: $25 per month -
46
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 -
47
Crush
Charm
Crush is a glamorous AI coding agent that lives right in your terminal, seamlessly connecting your tools, code, and workflows with any Large Language Model (LLM) of your choice. It offers multi-model flexibility, letting you choose from a variety of LLMs or add your own using OpenAI or Anthropic-compatible APIs, and supports mid-session switching between them while preserving context. Crush is session-based, enabling multiple project-specific contexts to coexist. Powered by Language Server Protocol (LSP) enhancements, it incorporates coding-aware context just like a developer’s editor. It's highly extensible via Model Context Protocol (MCP) plugins using HTTP, stdio, or SSE for added capabilities. Crush runs anywhere, leveraging Charm’s sleek Bubble Tea-based TUI for a polished terminal user experience. Written in Go and MIT-licensed (with FSL-1.1 for trademarks), enabling developers to stay in their terminal while taking advantage of expressive AI coding assistance.Starting Price: Free -
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Multilith
Multilith
Multilith gives AI coding tools a persistent memory so they understand your entire codebase, architecture decisions, and team conventions from the very first prompt. With a single configuration line, Multilith injects organizational context into every AI interaction using the Model Context Protocol. This eliminates repetitive explanations and ensures AI suggestions align with your actual stack, patterns, and constraints. Architectural decisions, historical refactors, and documented tradeoffs become permanent guardrails rather than forgotten notes. Multilith helps teams onboard faster, reduce mistakes, and maintain consistent code quality across contributors. It works seamlessly with popular AI coding tools while keeping your data secure and fully under your control. -
49
OnePerfectSlice
OnePerfectSlice
OnePerfectSlice is a context-as-a-service platform for B2B GTM teams. It builds structured, evidence-backed context compiled from your data and delivers it to AI agents, workflows, and teams — so everyone can make smarter decisions, faster, with fewer hand-offs.Starting Price: $275/month -
50
II-Agent
Intelligent Internet
II-Agent is an open source intelligent assistant developed by Intelligent Internet, designed to enhance productivity across various domains such as research, content creation, data analysis, coding, automation, and problem-solving. It operates through a robust function-calling paradigm, driven by a powerful large language model (LLM), specifically Anthropic's Claude 3.7 Sonnet, and is supported by advanced planning, comprehensive execution capabilities, and intelligent context management. The agent's architecture includes a central reasoning and orchestration component that interfaces directly with the LLM, utilizing system prompting, interaction history management, and intelligent context management to maintain a coherent and efficient workflow. II-Agent's capabilities encompass multistep web search, source triangulation, structured note-taking, rapid summarization, blog and article drafting, lesson plan creation, creative prose, technical manuals, website creation, etc.
