Alternatives to AgentScan

Compare AgentScan alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to AgentScan in 2026. Compare features, ratings, user reviews, pricing, and more from AgentScan competitors and alternatives in order to make an informed decision for your business.

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    OpenAI Codex
    Codex is an AI-powered coding agent from OpenAI designed to help developers build, manage, and ship software more efficiently across the entire development lifecycle. It acts as an intelligent pair programmer that can understand codebases, generate features, and deliver production-ready pull requests. Codex can safely execute commands in sandboxed environments while assisting with debugging, refactoring, and testing. A key advancement is its computer use capability, allowing it to operate your computer by seeing, clicking, and typing across applications. This enables Codex to interact with tools that don’t have APIs, making it useful for tasks like frontend testing and app navigation. The platform also includes an in-app browser and integrations with various developer tools for a more unified workflow. Codex supports automation by handling ongoing tasks such as monitoring, issue triage, and follow-ups.
    Starting Price: $20/month
  • 2
    Agensi

    Agensi

    Agensi

    Agensi is a curated marketplace for AI agent skills. Every skill is security-scanned, works across 20+ agents (Claude Code, Codex CLI, Cursor, Gemini CLI, Copilot, and more), and comes from an accountable creator. Skills are one-time purchases. Buy once, own forever. No subscriptions, no license keys. All skills use the open SKILL.md standard, so one purchase works across every compatible agent. Every submission goes through an 8-point automated security scan covering prompt injection, data exfiltration, dangerous commands, secret detection, and obfuscated code. Creators keep 80% of each sale with instant Stripe payouts. Downloads are buyer-fingerprinted for IP protection. Agensi also offers a MCP subscription ($9/month or $90/year) that gives AI agents live access to the full catalog. Your agent connects to Agensi via MCP, searches available skills, and loads the right one mid-conversation. No downloads, no file management. New skills are available the moment they go live.
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    bb

    bb

    bb

    bb is a local-first, fully customizable IDE for working with AI coding agents, designed to control, automate, and even modify itself. Almost anything in the environment can be changed with a single prompt: users can add panels, CLI commands, skills, plugins, and workflows that immediately become available to their agents. Many of bb’s own capabilities, including GitHub integration, agent memory, scheduled jobs, and remote access, are built as plugins using the same tools available to users. Its CLI is open to external programs such as shell scripts, cron jobs, or bots in Telegram, Signal, and Slack, allowing them to spawn work threads that remain available in the sidebar. bb supports multiple coding agents, including Claude Code, Codex, Cursor, Pi, OpenCode, Grok, omp, and Hermes, letting users assign tasks to the best-suited agent or have one agent spawn and manage another in separate threads. Work runs on the user’s own machine and can continue independently until they return.
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    Superpowers

    Superpowers

    Superpowers

    Superpowers is an open-source software development methodology and skills framework designed to improve how coding agents plan, build, test, and review software. The project gives AI coding tools a structured workflow that helps them clarify requirements before writing code. It supports agents such as Claude Code, Codex CLI, Codex App, Factory Droid, Gemini CLI, OpenCode, Cursor, and GitHub Copilot CLI. Superpowers guides agents through brainstorming, design approval, implementation planning, test-driven development, subagent-driven execution, code review, and branch completion. Its skills library emphasizes red-green-refactor testing, systematic debugging, isolated git worktrees, verification, and evidence-based completion. Superpowers helps developers turn AI coding agents into more disciplined engineering partners that follow repeatable processes instead of jumping straight into code.
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    AgentScreenshots

    AgentScreenshots

    AgentScreenshots

    AgentScreenshots gives AI coding agents a practical visual feedback loop for frontend development. The `agentshot` CLI captures screenshots of localhost, preview, staging, or production pages, saves PNGs into your project, and lets the agent inspect the rendered pixels before claiming the UI is done. It is built for Claude Code, Codex, Cursor, OpenCode, and other coding agents.
    Starting Price: €5/month
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    Constellation Gate AI

    Constellation Gate AI

    Constellation Gate AI

    Constellation Gate AI is a drop-in defense layer for AI agents, built to sit between the agent and the model while screening every request for attacks and leaks. Gate acts as an inline gateway for coding agents and model APIs, protecting workflows without requiring major code changes. Users can point existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode at Gate and inherit prompt-injection defense, secret scanning, PII redaction, token optimization, and a verifiable audit trail. The platform is designed around three real risks: prompt injection, credential and PII leakage, and hijacked tool calls. Instead of relying on the model to defend itself, Gate blocks attacks before they reach the model, redacts secrets before responses return, and stops attacker-controlled tool outputs before an agent acts on them. Gate accepts the same calls an agent already makes, forwards them to the model, scans every call and response in both directions.
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    Vibe Island

    Vibe Island

    Vibe Island

    Vibe Island is a macOS notch panel for AI coding agents. It tracks sessions from 26 agents - Claude Code, Codex, Gemini CLI, Cursor, OpenCode, Kimi Code, DeepSeek, Copilot, and more - in one place, with real-time status, per-agent brand colors, and one-click precise jump to the exact terminal tab, split pane, or VS Code window where each session runs (20+ terminals supported, tmux included). Built for developers running several agents in parallel, it also shows remaining usage quota for Claude, Codex, Kimi, GLM, and DeepSeek subscriptions with live reset countdowns, and lets you approve permissions, answer agent questions, and review plans without leaving the notch. Works with local sessions and remote servers over SSH. Native Swift, no Electron, under 100 MB RAM. Free trial, then a one-time purchase - no subscription.
    Starting Price: $19.99 one-time
  • 8
    claude-mem

    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.
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    Spawn

    Spawn

    OpenRouter

    Spawn is an experimental OpenRouter tool for deploying AI coding agents on your own infrastructure with a single command. Pick an agent, choose a cloud, and Spawn provisions a virtual machine, installs the agent and its dependencies, authenticates to OpenRouter and the cloud using a CLI OAuth flow, configures endpoints and model routing, and then opens an SSH session so you can start working. Each agent-and-cloud combination is implemented as a self-contained script, avoiding Terraform and YAML while keeping deployment portable. Supported agents include Claude Code, OpenClaw, Codex CLI, OpenCode, Kilo Code, Hermes Agent, Junie, Pi, Cursor CLI, and T3 Code, making it easy to explore coding-agent workflows or switch between them with one command. Spawn supports cloud environments such as DigitalOcean, Sprite, Hetzner Cloud, AWS Lightsail, GCP Compute Engine, and Daytona, as well as a local machine or a throwaway local Docker sandbox.
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    HQ

    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.
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    Preloop

    Preloop

    Preloop

    Preloop is the open source AI agent control plane for agents that take real actions. It combines an MCP firewall for tool access, an AI model gateway for cost, safety, and attribution, policy-as-code with human approvals, runtime session observability, and audit trails in a single self-hostable platform. AI agents can deploy code, change infrastructure, move money, touch production data, and burn model spend in seconds, so Preloop helps teams control what agents can do, how much they spend, and which actions require human approval. It works with OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any MCP-compatible agent or managed runtime. Access rules can inspect arguments and context, not just tool names, with CEL expressions for fine-grained conditions. Teams can start with observability, then layer in approvals and deny rules without SDKs or invasive app changes.
    Starting Price: $290 per month
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    OpenCode

    OpenCode

    Anomaly Innovations

    OpenCode is the AI coding agent purpose-built for the terminal. It delivers a responsive, themeable terminal UI that feels native while streamlining your workflow. With LSP auto-loading, it ensures the right language servers are always available for accurate, context-aware coding support. Developers can spin up multiple AI agents in parallel sessions on the same project, maximizing productivity. Shareable links make it easy to reference, debug, or collaborate across sessions. Supporting Claude Pro and 75+ LLM providers via Models.dev, OpenCode gives you full freedom to choose your coding companion.
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    AgentSky

    AgentSky

    AgentSky

    AgentSky is a managed agent-as-a-service platform for launching long-lived, always-on AI agents in the cloud with no Mac mini, setup, or infrastructure to manage. Users can choose an agent harness such as Claude Code, Codex, Hermes, or OpenClaw, pair it with a supported model, add capabilities, and launch in one click. Agents can be reached through WhatsApp, iMessage, Telegram, Slack, Discord, web chat, the A2A protocol, and the CLI, with the same history, tools, and state following them across channels. Local Claude Code, Codex, or OpenClaw setups can be cloned to the cloud while preserving instructions, model configuration, and MCP servers without copying secrets, API keys, or session history. Every agent runs as a managed worker with durable state, continuous history, snapshots, backups, restore, and an isolated sandbox that boots with only the attached tools.
    Starting Price: $3 per month
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    Kastra

    Kastra

    Kastra

    Kastra is the authorization layer for AI systems, deciding what agents, models, and AI tools are allowed to do before they do it. It sits in the execution path of every prompt, tool call, shell command, database operation, and API request, evaluates each action against deterministic, attribute-based policy, and returns an allow, deny, redact, or escalate decision in under a millisecond. Unlike monitoring products that observe AI after it acts, Kastra blocks unauthorized behavior before it reaches a tool, API, database, or production system. Its unified control plane combines a policy engine, edge decision points, integrations, and a tamper-evident evidence vault that signs every decision for audit and replay. Kastra Edge brings local enforcement to developer machines, protecting Claude Code, Cursor, Codex CLI, and other coding agents from destructive commands, secret exfiltration, unsafe file writes, and unauthorized tool use.
    Starting Price: $19.99 per month
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    AionUi

    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.
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    Graphify

    Graphify

    Graphify

    Graphify is an open source knowledge graph engine that turns any input, including code, docs, papers, meetings, images, browser tabs, and commits, into one traversable graph with complete recall. It is built as persistent memory for AI coding assistants, giving tools like Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Aider, Factory Droid, Kimi Code, Kiro, Pi, and Google Antigravity a queryable understanding of a project instead of making them repeatedly grep through files. Users can point Graphify at any directory, and it builds an initial corpus through AST extraction, semantic analysis, and Leiden clustering, transforming an entire codebase or document corpus into a graph in one pass. Unlike RAG pipelines that re-embed everything on every change, Graphify maintains a living graph that updates only affected nodes and edges when files change, allowing the rest of the corpus to stay intact even at enterprise scale.
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    nono

    nono

    Always Further

    nono is an open source, kernel-enforced sandbox for AI coding agents and LLM workloads. Unlike policy-based guardrails that intercept and filter operations, nono uses OS security primitives — Landlock on Linux and Seatbelt on macOS — to make unauthorised operations structurally impossible at the syscall level. Wrap any AI agent — Claude Code, OpenCode, OpenClaw, or any CLI process — with a single command. nono applies default-deny filesystem access, blocks destructive commands (rm, dd, chmod, sudo), isolates credentials and API keys, and cascades all restrictions to child processes. No escape mechanism exists once restrictions are applied. Built-in profiles get you running in seconds. Secrets inject securely from the system keystore and are zeroised on exit. Audit logging, atomic rollbacks, and Sigstore-attested policy signing are on the roadmap. Apache 2.0. From the creator of Sigstore.
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    AgentKey

    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
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    Dorchestrator

    Dorchestrator

    Dorchestrator

    Dorchestrator brings Claude Code, OpenAI Codex, and built-in coding agents into one desktop workspace. Plan and review tasks on a Kanban board, coordinate multi-agent swarms, reuse terminal layouts and Skills, and inspect readable tool activity with workflow state stored in your selected project folder.
    Starting Price: $19/month/user
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    Tuning Engines

    Tuning Engines

    CerebrixOS

    Tuning Engines is a unified AI control and governance layer for teams building production intelligence across models, agents, tools, and fine-tuned systems. It brings together the full AI lifecycle in one governed platform: inference, model routing, fallback policies, fine-tuning jobs, datasets, evaluations, model imports and exports, custom models, agents, MCP servers, reusable skills, guardrails, AGT YAML policies, data capture, runtime traces, usage analytics, API keys, billing, team roles, and integrations. Developers get OpenAI-compatible APIs, Anthropic-compatible routes, CLI workflows, MCP access, coding-agent integrations, and resource catalogs for models, agents, tools, and skills. Teams can connect Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, Windsurf, and other AI workflows through a single governed platform.
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    Lanes

    Lanes

    Lanes

    Lanes is a local-first desktop application designed to help developers manage and interact with AI coding agents in a private, secure environment where all work remains on the user’s machine. It operates on the principle that sensitive development data, such as source code, terminal activity, prompts, AI responses, and project configurations, should never leave the local device, ensuring full confidentiality and control. It integrates with third-party AI coding agents and CLI tools like Codex, Claude Code, or Gemini CLI, but does not act as an intermediary; instead, all communication occurs directly between the user’s machine and those services. This architecture allows developers to use powerful AI tools while maintaining strict data privacy and ownership. Lanes supports account management through simple authentication and collects only minimal, anonymous telemetry data, such as feature usage patterns, session duration, and crash reports, to improve performance.
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    Cline

    Cline

    Cline AI Coding Agent

    Cline is an open-source AI coding agent that helps developers understand, modify, and automate software development tasks directly from their IDE, terminal, or embedded applications. The platform supports coordinated code editing, bash command execution, planning, and autonomous workflows while giving developers control over every step of the process. Cline works with major AI models including Claude, GPT, Gemini, Mistral, DeepSeek, Ollama, and any OpenAI-compatible API without locking users into a single provider. Developers can use Cline to refactor large codebases, automate repetitive engineering tasks, integrate with CI/CD pipelines, and extend functionality through plugins and the Model Context Protocol (MCP). The platform also supports custom coding rules, reusable skills, multi-agent collaboration, and scheduled automations for complex software projects.
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    blume

    blume

    blume

    Blume is a desktop sidecar for AI coding agents that helps developers see what every agent is doing, keep project context consistent, and catch drift before it reaches the codebase. It works with tools including Cursor, Claude Code, Codex, omp, and Pi, bringing agent activity, hidden files, skills, hooks, rules, and provider usage into one place. The Agents view shows whether each coding agent is working, finished, or waiting for approval, while Setup exposes the instructions and configuration files shaping agent behavior. Usage tracking shows remaining plan limits and token burn across providers such as Claude, Codex, and Cursor so developers can avoid unexpected interruptions. Blume stores conversation history locally on the device and reviews rules, skills, and hooks on-device. Its Improve workflow looks for repeated signals of friction across conversations, clusters similar issues, and proposes concrete changes such as new rules or reusable skills.
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    SpawnHQ

    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
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    Whim

    Whim

    Whim

    Whim is a cloud dev workspace for running AI coding agents at the speed of thought. It lets developers run AI coding agents like Claude Code and Codex in isolated cloud containers instead of running them locally on a laptop. Each task gets its own sandboxed Ubuntu environment with full shell access, git branch isolation, and real-time terminal streaming, allowing developers and teams to use AI coding agents in daily workflows with parallelism, collaboration, and zero local setup. Users can connect a repo, write a prompt, and the AI agent starts working in a secure cloud container accessible from any device. Multiple tasks can run simultaneously, making it possible to try different approaches, work on separate features, or let an orchestrator coordinate a squad of agents without them stepping on each other’s toes. Whim supports Claude and GPT models through native CLI runtimes, with additional models planned through OpenRouter.
    Starting Price: $50 per month
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    Codex CLI
    Codex CLI is an open-source, lightweight coding agent that integrates directly into your terminal, designed to help developers write, edit, and understand code efficiently. By pairing with Codex CLI, developers can leverage the power of AI to streamline their workflow, get real-time code suggestions, and improve their coding accuracy, all from within their command line interface. It provides a seamless, accessible way to enhance coding productivity while staying in the environment developers are already comfortable with.
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    Prompeteer.ai

    Prompeteer.ai

    Prompeteer.ai

    Prompeteer Contextual Intelligence Platform is a contextual AI platform for A+ agentic prompts and skills. It enables individuals and enterprises to build production-ready prompts and agent skills for ChatGPT, Claude, Gemini, Perplexity, Grok, Meta AI, Copilot, Cursor, Replit, and 140+ AI platforms. Simply type your request in plain language and Prompeteer instantly transforms it into an expert-level prompt—context-powered, quality-scored, and ready to deploy. Features include multimodal prompt creation (text, code, data, image, video, audio), Prompt Score for objective quality evaluation, PromptDrive for saving and organizing prompts, Agent Skills (production-ready SKILL.md files), seamless workflow integrations, and support for 100+ languages. Trusted by tens of thousands of professionals and enterprises in 157 countries. GDPR & CCPA compliant, 100% private, with a free version available.
    Starting Price: Free / Premium Plans
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    TypeUI

    TypeUI

    TypeUI

    TypeUI is an open source command-line interface designed for agentic design, enabling developers to apply a consistent and structured design system across AI-generated code by generating and managing standardized files. It acts as a design layer for AI coding tools, ensuring that interfaces produced by different agents follow the same visual rules for typography, color, spacing, and component styling, regardless of the underlying model or provider. It addresses a key challenge in AI-assisted development, where outputs from tools like Claude Code, Cursor, Codex, or Gemini can vary significantly in style by introducing a portable design blueprint that enforces uniformity across projects. Through a simple CLI workflow, users can generate design systems by answering guided prompts, pull pre-built “design skills” from a registry, or update existing configurations without rebuilding them from scratch.
    Starting Price: $200 per 3 years
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    Big Pickle

    Big Pickle

    OpenCode Zen

    Big Pickle is an AI model available through OpenCode Zen, a curated model provider focused on coding-agent workflows. The model is designed for text-based input, reasoning tasks, function calling, and developer workflows that require long-context understanding. Big Pickle supports a large context window, making it useful for working across bigger codebases, project files, technical prompts, and multi-step coding tasks. It can be accessed through OpenCode Zen using an OpenAI-compatible API format, allowing developers to integrate it into agentic coding tools and automation workflows. The model is positioned as a free or low-cost option within OpenCode’s coding-agent ecosystem. Big Pickle helps developers experiment with AI-assisted coding, reasoning, tool use, and long-context automation without relying only on premium frontier models.
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    Manufact

    Manufact

    Manufact

    Manufact is a platform to build and deploy MCP apps and servers, giving teams a fast path to the ChatGPT Apps Store, Claude Connectors, and every surface where users and agents already work. The mcp-use SDK is the full-stack MCP framework to develop MCP apps for ChatGPT and Claude, as well as MCP servers for AI agents. Manufact covers every step of the MCP lifecycle with no extra tools: build from an SDK, a skill, or a vibe; deploy with one push; publish with marketplace checklists and generated submission assets; iterate with Cloud Inspector; and monitor with analytics, session replay, traces, error rates, and alerts. Teams can scaffold with the MCP-use SDK, install a skill into a coding agent, describe an app and watch it scaffold, or drop in an existing MCP server unchanged. Manufact Cloud connects to a repo once, then every push auto-deploys, with preview URLs for pull requests, custom domains, and SSL handled.
    Starting Price: $25 per month
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    Vicoa

    Vicoa

    Vicoa

    Vicoa is a cross-platform AI coding companion that lets developers run, manage, and interact with AI coding agents like Claude Code, Codex, and OpenCode from any device, including laptops, phones, tablets, and the web, with seamless session continuity and real-time synchronization across screens. It provides a visual interface and session history so you can browse, search, and revisit past AI coding conversations, review code diffs, and approve or modify agent-generated changes without being tied to a terminal, and it sends instant notifications when your agent needs input so work can continue even while you’re away from your desk. Vicoa supports features like cross-device workflows, fuzzy file search, slash commands, voice dictation, permission modes, unseen message navigation, and draft retention, making it easier to start coding on one device and pick up exactly where you left off on another without losing context.
    Starting Price: $9.99 per month
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    Journey

    Journey

    Journey

    Journey is a registry platform designed for discovering, installing, and sharing reusable AI agent workflow kits that give agents new capabilities instantly. It allows users to browse a library of pre-built workflows, known as “kits,” which can be installed directly into AI agents through a simple command or prompt, eliminating the need for manual setup or complex configuration. Each kit represents a complete, portable workflow that bundles together system prompts, behavioral instructions, tool integrations, model preferences, and structured task sequences, enabling agents to execute consistent, repeatable processes across different environments. It supports integration with multiple agent systems such as Claude, Cursor, Codex, and other compatible tools, making it flexible and adaptable for various development setups. Journey also provides tools for teams to manage workflows collaboratively, including version control, permission management, and centralized coordination.
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    Zooid

    Zooid

    Zooid

    Zooid is an open-source team chat app built on the Matrix protocol, offering channels, threads, direct messages, and spaces. It can be self-hosted so conversation history and data remain on infrastructure the operator controls. The application is designed so that AI agents can take part in the same rooms as human team members. Agents that support the Agent Client Protocol (ACP), such as Claude Code, Codex, and opencode, can be added to a room, where their actions render as structured interface elements rather than plain text: permission requests appear as approval cards, tool calls as structured data, task plans as checklists, and sub-agent hierarchies as an expandable tree. Each agent runs in its own sandboxed container. Zooid is released under the MIT license and is self-hostable end to end.
    Starting Price: Free (open source)
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    NanoClaw

    NanoClaw

    NanoClaw

    NanoClaw is a lightweight, open-source personal AI assistant that runs securely inside Linux containers. Designed as a simplified alternative to larger frameworks, it connects Claude Code to WhatsApp and enables autonomous task execution with isolated group contexts. Each group operates in its own container with a dedicated filesystem and memory file, ensuring strong OS-level security rather than application-level permission checks. The system runs as a single Node.js process with a minimal codebase that users can understand and modify quickly. NanoClaw supports scheduled tasks, web access, and optional integrations through modular Claude skills. It introduces Agent Swarms, allowing multiple specialized agents to collaborate within a single chat. Built for individual users rather than enterprises, NanoClaw emphasizes customization through direct code changes instead of configuration files.
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    port22

    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.
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    Tulsk

    Tulsk

    Tulsk

    Tulsk is an agentic project management workspace for small startup teams, built to plan, run, and monitor autonomous AI work across projects, docs, tasks, comments, and agent workflows in one shared workspace. Teams use Tulsk to delegate real work to AI agents instead of managing separate chat windows, prompts, and half-finished outputs. Users can mention an agent in any task, and the agent reads the context, executes the work, and posts the result back in the thread with no copy-paste or babysitting. Tulsk combines projects, statuses, priorities, attachments, real-time comments, OpenClaw agent runtime, EMA AI project manager, Skills, MCP access, and agent scheduling in one workspace. OpenClaw gives agents their own dedicated cloud workspace with browser, shell, web search, editable persona files, attached skills, and tool access, so they can handle long-running jobs such as market research, competitor analysis, reports, content drafts, operational checks, and specialized workflows.
    Starting Price: $39 per month
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    Bevel

    Bevel

    Bevel

    Bevel is a vendor-agnostic, Git-backed control plane for enterprise AI agents, where an organization’s agents, context, skills, tools, permissions, and identities are defined as files the company owns in its own infrastructure and served to any agent runtime over MCP. Context is stored as typed knowledge nodes with provenance for every fact, including where it came from, who last changed it, and when it was verified, then compiled into a graph that can be traversed, updated, and used for dashboards. Skills are written as plain Markdown procedures that process owners can read, review in diffs, and port across runtimes. Tool manifests define available capabilities, while secrets stay in a vault and access rules determine which agents may read specific files or call endpoints. Each agent has its own identity, credentials, and scope so actions remain attributable.
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    Emdash

    Emdash

    Emdash

    Emdash is an orchestration layer that lets you run multiple coding agents in parallel, each in its own isolated Git worktree, so you can simultaneously spin up different agents to tackle independent subtasks or experiments without interference. It’s provider-agnostic, meaning you can pick from various AI models and CLIs (for example, Claude Code, Codex, and others) to fit your workflow. With Emdash, you can assign issues or tickets (from Linear, GitHub, or Jira) directly to a chosen agent, then watch multiple agents operate side by side in real time. The UI shows live agent status and activity, and once agents generate code, you can review diffs, comment, and open pull requests, all without leaving Emdash. Because every agent runs in a separate worktree, changes stay sandboxed and comparable, enabling you to test different implementations or strategies side-by-side safely.
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    GPT-5.3-Codex
    GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, designed to handle complex professional work on a computer. It combines frontier-level coding performance with advanced reasoning and real-world task execution. The model is faster than previous Codex versions and can manage long-running tasks involving research, tools, and deployment. GPT-5.3-Codex supports real-time interaction, allowing users to steer progress without losing context. It excels at software engineering, web development, and terminal-based workflows. Beyond code generation, it assists with debugging, documentation, testing, and analysis. GPT-5.3-Codex acts as an interactive collaborator rather than a single-turn coding tool.
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    Maguyva

    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
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    Conductor

    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.
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    AG2

    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.
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    B.AI

    B.AI

    B.AI

    B.AI is foundational economic infrastructure for AI agents, combining multi-model intelligence, developer APIs, identity, payments, wallets, and blockchain tools in one ecosystem. Its LLM Service gives users and applications access to multiple leading models through chat and a unified API, allowing teams to select the model that best fits each task without rebuilding their integration. BAIclaw adds a graphical personal-agent workspace built on OpenClaw and ClawX, with specialized agents, independent prompts and memory, channel-based communication, plug-and-play skills, document processing, search, and scheduled workflows. Agents can connect with Telegram, Discord, WhatsApp, and other channels, while skills extend them into research, market analysis, payments, trading, and on-chain data queries. The locally secured Agent Wallet gives authorized agents the ability to perform blockchain operations, including transfers, token swaps, liquidity management, self-funding, and more.
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    Pushary

    Pushary

    Pushary

    Pushary sends a push to your phone when your AI agents need you. Claude Code, Codex, Cursor, and other agents pause for approval on risky actions like shell commands, file writes, and deploys. Pushary turns each pause into a notification you approve or deny from your lock screen, so your agents keep working while you are away from your desk. Set permission policies per tool: auto-approve safe actions, require approval for risky ones, and keep a full audit log of every question and answer. Run a whole fleet of agents and track them in one place. Pushary also powers push notifications for e-commerce and SaaS: subscriber capture, campaigns, automation flows, templates, and analytics. Connect any agent through a simple CLI or MCP. Native iOS and Android apps included.
    Starting Price: $9.99/month
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    OpenViking

    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.
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    oh-my-codex (OMX)

    oh-my-codex (OMX)

    oh-my-codex (OMX)

    oh-my-codex, also known as OMX, is a workflow layer for OpenAI Codex CLI that helps users start stronger coding sessions and manage complex development work with more structure. The tool keeps Codex as the execution engine while adding prompts, skills, hooks, runtime support, HUDs, agent teams, and durable project state. OMX supports a recommended workflow built around deep interviews, planning, goal creation, execution, verification, and long-running task management. It stores project guidance, plans, logs, memory, and runtime state in a dedicated .omx folder so work can stay organized across sessions. The platform is primarily designed for macOS and Linux users working with Codex CLI, with additional support for team workflows through tmux. oh-my-codex helps developers use Codex more effectively by adding repeatable processes, stronger task routing, and better runtime coordination.
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    Multica

    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.
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    Coral

    Coral

    Coral

    Coral is an open-source query layer that allows AI agents and developers to access data across APIs, databases, and file systems using SQL. The platform turns connected sources such as GitHub, Slack, Linear, Datadog, Sentry, Stripe, and PagerDuty into readonly tables that can be explored and joined together. Instead of building custom integrations, ETL pipelines, or API wrappers, teams can use Coral to query multiple systems from one runtime. Coral supports CLI and MCP access, making it usable with tools such as Claude Code, Codex, and other agent frameworks. The platform handles authentication, pagination, rate limits, schema mapping, caching, and semantic hints to improve accuracy and reduce cost. Coral helps engineering teams give AI agents safer, faster, and more useful context for production workflows.
    Starting Price: $249/month
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    GPT‑5.3‑Codex‑Spark
    GPT-5.3-Codex-Spark is an ultra-fast coding model designed for real-time collaboration inside Codex. Built as a smaller version of GPT-5.3-Codex, it delivers over 1000 tokens per second when served on low-latency Cerebras hardware. The model is optimized for interactive coding tasks, enabling developers to make targeted edits and see results almost instantly. With a 128k context window, Codex-Spark supports substantial project context while maintaining speed. It focuses on lightweight, precise edits and does not automatically run tests unless prompted. Infrastructure upgrades such as persistent WebSocket connections significantly reduce latency across the full request-response pipeline. Released as a research preview for ChatGPT Pro users, Codex-Spark marks the first milestone in OpenAI’s partnership with Cerebras.
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    Claude Sonnet 4.5
    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.