AI · alternatives · 2026
24 alternatives to Kaiku
The task tracker your AI agents already know how to use
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
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Browser MCP connects AI applications to your browser so you can automate tasks using AI. Supported by Claude, Cursor, VS Code, Windsurf, and more.
2025 · browsermcp.io · its alternatives →
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localskills.sh▲115AI Skill & MCP server management for teams & enterprises
Jul 2026 · localskills.sh · its alternatives →
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CoreSpeedfree tier, from $20/mo▲332One MCP for everything your agents need: apps, memory, tools
22d ago · corespeed.io · its alternatives →
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Give AI agents access to real-time data across 200+ apps
May 2026 · apideck.com · its alternatives →
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AI Browser▲143Hey HN! I built Browser AI after getting frustrated with the official Playwright MCP server in Claude Code. If you've used it, you know the pain: - 20+ separate tools that Claude has to juggle (click, fill, navigate, wait_for_selector, etc.) - Context window explosions from verbose screenshot data and DOM snapshots - Constant tool selection errors where Claude picks the wrong tool or forgets parameters Browser AI wraps Playwright MCP with a single natural language interface. Instead of Claude managing dozens of tools, you get one: browser_ai.execute. Just tell it what you want in plain…
Nov 2025 · aibrowser.surf · its alternatives →
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API to MCP▲195Turn any API into an MCP server for AI agents
Jun 2026 · apitomcp.ai · its alternatives →
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Tasklet▲159Accelerate your entire company with AI agents you can delegate real work to. Connect your tools, automate workflows 24x7, and share agents & context across your team.
2025 · tasklet.ai · its alternatives →
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TaskShell▲86I initially built this for myself but some folks asked me to open access to it. Let me explain what I built and why. I'm a product designer who transitioned from only designing to building complete software products myself and I found myself using AI coding agents literally every day. I started with cursor, then codex and claude code, then kilo code, and then moved to opencode. The only thing AI agents couldn't get done for me was to keep track of my todos and tasks for all my projects. I ended up vibe coding a todo app separately or using apps like TickTick. The main issue with separate…
Apr 2026 · taskshell.app · its alternatives →
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Context Sync▲95Persistent AI memory across Claude Desktop & Cursor IDE
Oct 2025 · github.com · its alternatives →
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Mission control for AI coding agents. One ranked queue Claude Code, Cursor or any MCP agent works top to bottom — you watch live. Free while in beta — every feature, no limits, no card.
Jul 2026 · taskpeace.com · its alternatives →
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This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…
Apr 2026 · github.com · its alternatives →
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Give your agent tools to create beautiful, codebase-aware UI
Apr 2026 · aidesigner.ai · its alternatives →
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Open-source Computer Use MCP for AI agents
May 2026 · github.com · its alternatives →
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An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
Aug 2026 · github.com · its alternatives →
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I built an MCP server that connects coding agents (Claude Code, Cursor, OpenCode, Codex) to a collaborative workspace where your team and other AI models can review what the agent is planning. The problem: When Claude Code creates an implementation plan, it lives in your terminal session. Nobody else sees it until it becomes a PR. If you want GPT to check the architecture or a teammate to flag issues, you're copy-pasting between windows. This MCP server fixes that. When your agent creates a plan, it gets shared as a collaborative thread in CoChat. Engineers comment on it, other AI models…
Feb 2026 · github.com · its alternatives →
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Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…
2025 · github.com · its alternatives →
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Pantheon-MCP▲11Hi all, since I began building with agentic systems, I kept copying and sharing Markdown-based agent definitions across projects and devices. Syncing was a pain. So I built Pantheon MCP, a server that always provides the latest versions of an agent definition from a collection of currently 42 agents. Now I have to only add the MCP server to a new project and everyone on the project gets the same agent definitions all the time. In addition, using it allows the system to choose dynamically the correct agent based on the task at hand. I’ve been running it internally — now I’m releasing it…
2025 · pantheon-mcp.com · its alternatives →
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More than a decade ago, I adopted the self-imposed rule, if I answer a question more than once, the third time I need to be able to answer with a URL. Today, I published one very large URL - a book distilling what I learned from helping people work remotely at GitHub, and I wanted to rethink my rule for the age of AI. What if, instead of a URL, I could create an interactive experience that could tailor the guidance to your particular situation? What I ended up building was an Open and Async Advisor MCP server. To install (in claude or any other AI): > claude mcp add open-async -- npx -y…
Jul 2026 · github.com · its alternatives →
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Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…
2025 · github.com · its alternatives →
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AI Agents Listing is a curated directory for the agentic ecosystem. It helps you discover AI agents, MCP servers, and drop-in agent skills, ranking them by real engagement rather than ads. You can browse popular categories, view leaderboards, and submit your own tools to get disc
Sep 2026 · aiagentslisting.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →