Alternatives to nekuda
Compare nekuda alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to nekuda in 2026. Compare features, ratings, user reviews, pricing, and more from nekuda competitors and alternatives in order to make an informed decision for your business.
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1
WebMCP
WebMCP
WebMCP is an open source JavaScript library that allows any website to integrate with the Model Context Protocol, enabling users to connect to and interact with webpages through an LLM or AI agent. Developers can add WebMCP to a site with a simple script, which initializes a small widget that handles the connection between the webpage and an MCP client. Once connected, websites can expose MCP features including tools, prompts, resources, and sampling. Tools let an LLM perform actions on the website through registered functions with defined inputs and outputs. Prompts provide reusable templates for common LLM interactions and can accept dynamic arguments. Resources expose webpage data and content that clients can read and use as context, including page content, individual elements, files, or other structured information. WebMCP also supports sampling, allowing the server to request LLM completions through the connected client while maintaining human oversight.Starting Price: Free -
2
Persona
Runtype
Persona is a VanillaJS Agent UI Library that helps developers create agentic front-end experiences for the web in pure JavaScript. Lightweight, extensible, and WebMCP-native, it runs on any stack and can connect to any SSE backend. Developers can start with a floating launcher in the corner, a copilot docked beside an app, or a full-height assistant that owns the page, changing the launcher configuration without changing the agent or app. Persona is designed for support, docs, sales, onboarding, internal tools, and custom agent experiences where the chat UI becomes another way to operate the application. Through WebMCP, developers can expose page actions, search, carts, bookings, forms, and other tools directly in the browser through a document.modelContext; Persona discovers those tools, asks the user before calling them, and streams the result back into the conversation.Starting Price: Free -
3
BayPoint AI
BayPoint AI
BayPoint AI is an AI-powered software suite built exclusively for eBay sellers. Integrated tools in one dashboard, and growing. Baypoint AI helps sellers optimize listings, automate feedback, and track shipments. Listing Intelligence — AI scoring and optimization that identifies what's holding your eBay listings back and suggests specific improvements to increase visibility and sales. Found Listing Discoverability - AEO/SEO: AI-assisted listing optimization, on-page SEO workflows, answer-engine optimization (AEO) content structuring, schema-aware content generation. WebMCP & Agentic Web: WebMCP integrations, agent-ready metadata patterns, browser-automation compatible workflows, AI agent interoperability design Feedback Manager — Automatically generates personalized responses to seller feedback, saving hours weekly while maintaining a 5-star reputation. Buyer Feedback Manager — Bulk automation for leaving buyer feedback across all transactions.Starting Price: $19.00 -
4
AgentShelf
AgentShelf, Inc.
AgentShelf Platform is a no-code environment for building, deploying, and governing focused AI agents for business workflows. Teams can give each agent approved context, tools, model access, permissions, and a dedicated workspace, then deploy experiences to websites, internal workspaces, products, or external applications. The platform includes reusable agent patterns, widgets, SDKs and APIs, usage and cost visibility, budget policies, activity traces, and public/private access boundaries. It supports use cases such as website visitor qualification, customer support triage, CRM follow-up, research, knowledge retrieval, and recurring reporting.Starting Price: $100/month -
5
AgentOps
AgentOps
Industry-leading developer platform to test and debug AI agents. We built the tools so you don't have to. Visually track events such as LLM calls, tools, and multi-agent interactions. Rewind and replay agent runs with point-in-time precision. Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production. Native integrations with the top agent frameworks. Track, save, and monitor every token your agent sees. Manage and visualize agent spending with up-to-date price monitoring. Fine-tune specialized LLMs up to 25x cheaper on saved completions. Build your next agent with evals, observability, and replays. With just two lines of code, you can free yourself from the chains of the terminal and instead visualize your agents’ behavior in your AgentOps dashboard. After setting up AgentOps, each execution of your program is recorded as a session and the data is automatically recorded for you.Starting Price: $40 per month -
6
epho
epho
Epho turns coding agents into an API, letting developers run Claude Code, Codex, or OpenCode in isolated cloud sandboxes through a single HTTP endpoint. Send a prompt, choose a harness and model, attach repositories and files, connect MCP servers, and pass environment variables or provider credentials; Epho boots the environment, clones the code, wires in the tools, and streams the agent’s work back as it happens. Runs can return live events, tool calls, edits, final answers, and artifacts, or execute asynchronously with polling and webhooks. Chats are durable, so follow-up turns can resume with the same filesystem, checkout, agent session, system prompt, model, and MCP configuration even if the original sandbox is gone. Private GitHub, GitLab, and Bitbucket repositories are supported, and agents can read code, make changes, run tests, and iterate on failures just as they would locally. Every event is persisted, allowing interrupted streams to reconnect without losing the run.Starting Price: $0.00013 per GiB per hour -
7
Dendrite
Dendrite
Dendrite is a framework-agnostic platform that empowers developers to create web-based tools for AI agents, enabling them to authenticate, interact with, and extract data from any website. By simulating human-like browsing behavior, Dendrite facilitates seamless web navigation and data retrieval for AI applications. The platform offers a Python SDK, providing developers with the necessary tools to build AI agents capable of performing tasks such as interacting with web elements and extracting information. Dendrite's flexibility allows it to integrate with any tech stack, making it a versatile solution for developers aiming to enhance their AI agents' web interaction capabilities. Your Dendrite client syncs with website authentication sessions in your local browser, no need to share or store login credentials. Use our Chrome Extension, Dendrite Vault, to securely share authentication sessions from your browser with the Dendrite client. -
8
Flowpoint
Flowpoint.ai
Flowpoint is a platform designed to enhance website intelligence by allowing businesses to automate complex workflows using AI agents. It provides no-code tools to create and deploy agentic systems that can handle tasks like website analytics, content evaluation, SEO optimization, and website performance analysis. Flowpoint's AI agents can also create end-to-end website components, improve accessibility, and generate custom reports. With easy integration into existing workflows, businesses can boost their website ROI by automating repetitive tasks and gaining actionable insights, all without requiring coding skills.Starting Price: $9 per month -
9
Agent Control
Agent Control
Agent Control is the open source control plane for AI agents, built to establish a new standard for governing agent behavior at scale. It solves the problem of scattered, hardcoded checks by giving teams a centralized governance layer with step-level enforcement that can be managed from a single control plane and updated in real time without touching agent code. Developers can make any function governable by adding the control() decorator, turning meaningful decision points inside an agent into independently governed control points with their own policies. When a decorated function executes, Agent Control evaluates the input or output against the active policy and returns a decision: deny, steer, warn, log, or allow. If the decision is denied, the SDK raises a ControlViolationError before the unsafe action can proceed. Policies are decoupled from code, so developers decide where to place control hooks while policy teams decide what those hooks enforce.Starting Price: Free -
10
Notte
Notte
Notte is a full-stack web AI agents framework that allows you to develop, deploy, and scale your own agents, all with a single API. It transforms the internet into an agent-friendly environment, turning websites into structured, navigable maps described in natural language. Notte provides on-demand headless browser instances with built-in and custom proxy configurations, CDP, cookie integration, and session replay. It enables the execution of autonomous agents powered by LLMs to solve complex tasks on the web. For scenarios requiring more precise control, Notte offers a fully functional web browser interface for LLM agents. It includes a secure vault and credentials management system that allows you to safely share authentication details with AI agents. Notte's perception layer turns the internet into an agent-friendly environment by converting websites into structured maps described in natural language, ready to be digested by an LLM with less effort.Starting Price: $25 per month -
11
AvonAI
AvonAI
AvonAI keeps your AI agents aligned with your business by monitoring every customer conversation, controlling every interaction, and helping teams trust every outcome at scale. Your agents are live, handling real conversations with real customers, but agents do not manage themselves: they go off-script, drift from policies, and cannot keep up with business changes on their own. AvonAI reads every interaction and surfaces only the ones that matter, including policy violations, hallucinations, missing disclaimers, and other behavioral drift, so teams can find and fix risks in hours instead of weeks. It lets operations teams update agent knowledge and steer behavior in plain language, with no code and no developer ticket, while showing exactly what will change and allowing validation before anything goes live. AvonAI continuously tests agents against business directives, so the moment a model, prompt, or knowledge source changes, teams know whether the agent still behaves as intended. -
12
Broxi AI
Broxi AI
Broxi AI is a no-code AI agent builder that lets you go from a simple text description to a fully functional AI agent in minutes using visual, drag-and-drop tools, requiring zero technical setup. Its Broxi Autopilot takes your natural‑language briefing, such as “an agent that answers FAQs from our PDF handbook”, then lets you define input types (PDFs, chats, websites, etc.) and outputs (emails, messages, API actions). With a single click, Broxi automatically constructs, tests in an interactive playground, and enables instant deployment of your agent via API, web widget, Slack, or embedded app. It supports integrations with dozens of tools and systems, offers real-time monitoring and centralized management, and maintains enterprise-grade security throughout, making it easy for non-technical teams to automate customer support, internal workflows, sales engagement, content generation, and data retrieval, without writing a line of code.Starting Price: $25 per month -
13
Lumro
Lumro
Lumro is a platform for creating, managing, and deploying AI agents that can handle sales, support, lead collection, appointment bookings, customer success, and more, working around the clock to deliver human-like interactions. These agents integrate seamlessly with channels such as website chat, email, WhatsApp, Instagram, Facebook, and phone. They also plug into the tools businesses already use, CRMs, payment processors, scheduling tools, allowing agents not just to answer FAQs, but to take real actions such as capturing leads, creating and managing support tickets, booking appointments, processing payments, routing escalations, retrieving product info, and executing custom workflows tailored to specific business processes. Lumro supports branding and voice-alignment (trained on company data, website, PDFs, manuals, past conversations), tracks performance via analytics.Starting Price: $39 per month -
14
Parlant
Parlant
Parlant is a production-ready, open source framework for building compliant AI chat agents that reliably follow instructions and scale with complexity. It enables developers to create adaptive, iterative, and explainable conversational agents using natural-language behavior modeling, including guidelines, journeys, canned responses, retrievers, glossaries, and tools, all versionable via Git. Its guidelines let you nudge agent behavior contextually and precisely, while journeys define multi-step interaction flows; canned responses ensure consistency in high-risk scenarios; and explainability tools provide clear visibility into why each decision was made. Tools require matching guidelines to execute, cleanly separating business logic from conversation behavior, enabling developers and business experts to collaborate independently. Built-in features like session persistence, tool result tracking across sessions, and a drop-in React chat widget make it easy to install.Starting Price: Free -
15
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 -
16
Intuist AI
Intuist AI
Intuist.ai is a platform that simplifies AI deployment by enabling users to build and deploy secure, scalable, and intelligent AI agents in three simple steps. First, users select from various agent types, including customer support, data analysis, and planning. Next, they add data sources such as webpages, documents, Google Drive, or APIs to power their AI agents. Finally, they train and deploy the agents as JavaScript widgets, webpages, or APIs as a service. It offers enterprise-grade security with granular user access controls and supports diverse data sources, including websites, documents, APIs, audio, and video. Customization options allow for brand-specific identity features, and comprehensive analytics provide actionable insights. Integration is seamless, with robust Retrieval-Augmented Generation (RAG) APIs and a no-code platform for quick deployments. Enhanced engagement features include embeddable agents for instant website integration. -
17
asqav
asqav
asqav is an AI governance and security platform designed to make AI agents audit-ready by providing real-time monitoring, enforcement, and verifiable proof of every action taken by an agent. It introduces a lightweight SDK that allows developers to integrate governance directly into their agents in just a few lines of code, enabling continuous oversight across the full lifecycle of AI operations. It includes behavioral monitoring to detect issues such as drift, rate limits, and scope violations, along with advanced threat detection that identifies prompt injections, exposure of sensitive data, toxic outputs, and other risks. It enforces policy through configurable “policy gates,” which apply per-agent rules, preflight checks, and dynamic approvals before actions are executed, ensuring that agents operate within defined boundaries. asqav also provides automated incident response capabilities, including the ability to suspend, quarantine, or escalate risky agents.Starting Price: $39 per month -
18
Fluq
Fluq
Fluq is an AI agent observability and orchestration platform designed to give teams full visibility and control over how their AI agents operate in real time. It acts as a centralized “single pane of glass” where every agent action, LLM calls, tool usage, file operations, token consumption, and associated costs are tracked and visualized through detailed waterfall traces. By routing all agent requests through a lightweight proxy, Fluq requires minimal setup and works with any LLM provider or agent framework, allowing organizations to integrate it into existing systems without modifying code. It enables teams to inspect each decision an agent makes, drill into execution steps, and understand exactly how outcomes are generated, improving transparency and debuggability. It also includes governance features such as policy enforcement, spend limits, approval gates, and access controls, helping prevent issues like runaway costs, misuse of tools, or inaccurate outputs.Starting Price: $29 per month -
19
DeepSeek Harness
DeepSeek
DeepSeek Harness is an open source agent harness designed to keep AI agents working in real-world environments by helping them understand context, use tools, and continue operating across complex tasks. Built on the Cordis plugin system, every capability is a plugin that can be selected, swapped, extended, or recomposed through configuration without changing the core source code. Plugins provide models, tools, skills, sessions, sandboxes, storage, loops, scheduling, and the UI, while Cordis manages plugin mounting, dependencies, services, and events. Every run is traceable through an append-only session log that records system prompts, reasoning, tool calls and results, subagent scheduling, and context injections. The Trajectory view lets developers inspect these records by source, while resume, fork, search, and replay operate on the same event stream. -
20
Zero.xyz
Zero.xyz
Zero is a search engine for AI agents, built to unblock agents by giving them access to thousands of tools, APIs, and services across the internet. Instead of requiring users to manually find integrations, manage scattered API keys, or preconfigure every capability an agent might need, Zero indexes API services so agents can discover, evaluate, and use capabilities on the fly. It starts by installing the CLI and running zero init, which creates a wallet that the agent can use when accessing metered capabilities. From there, any agent that can run commands can search Zero for the right capability, choose the best match, and call the service directly when needed. Zero is designed to work with agents and coding environments such as Claude, Cursor, Cline, ChatGPT, Windsurf, Replit, Augment, and more. Its role is focused on discovery, Zero helps the agent find the service, but requests go directly from the agent to the provider, and Zero does not see the content of API calls. -
21
Graft
Graft AI
Graft AI is a platform that makes legacy software usable by AI agents without requiring companies to replace existing systems. The platform turns real user interfaces into stable, governed tools that agents can call reliably. Graft observes workflows across ERPs, mainframes, desktop apps, web portals, virtual desktops, internal tools, files, and exports. It maps screens, inputs, transitions, rules, side effects, and application states to create typed tool contracts with policies, approvals, recovery logic, and conformance tests. Every action is auditable, permission-aware, and verified against the source system so agents can execute work safely and consistently. Built for enterprises with hard-to-replace systems, Graft AI helps organizations connect agent workflows to existing software while keeping data controlled, governed, and traceable. -
22
Scorable
Scorable
Scorable is an AI evaluation and monitoring platform designed to help developers measure, control, and improve the behavior of applications built with large language models. It enables teams to create customized automated evaluators, sometimes referred to as AI “judges”, that assess how an AI system responds to users and whether its outputs meet defined quality standards such as accuracy, relevance, helpfulness, tone, and policy compliance. Developers can describe what they want to measure in plain language, and the platform generates a tailored evaluation stack that tests AI outputs against context-specific criteria rather than generic benchmarks. These evaluators can be embedded directly into application code, allowing AI systems such as chatbots, retrieval-augmented generation (RAG) systems, or autonomous agents to be continuously monitored in production environments.Starting Price: $19 per month -
23
Oneflash Agentic Business Suite
Oneflash Technology Limited
Oneflash Agentic Business Suite is an agentic AI business system for SMEs. It connects CRM, ERP, website operations, inventory, e-commerce, WhatsApp workflows, approvals, permissions, reporting, and audit trails in one modular operating system. Instead of acting as a standalone chatbot, Oneflash lets AI participate inside real business workflows under configured rules and human approval. Teams can use AI to retrieve records, prepare follow-ups, draft updates, support admin work, route requests, and trigger controlled actions when permissions allow. It is designed for companies that currently run operations across spreadsheets, disconnected websites, messaging apps, and manual approvals.Starting Price: $100/month -
24
VerifyAX
Conscium
VerifyAX is an AI agent verification platform designed to help organizations test how autonomous agents behave in real-world scenarios before deployment and while operating in production. It provides verification infrastructure for simulating agent behavior, testing edge cases, observing decision paths, and identifying issues before they affect live systems. Teams connect their agents, models, and tools, define what they want to test, and run simulation-based evaluations against specified criteria. Each run produces audit-grade reporting with scores, transcripts, written explanations, and recommendations. It supports structured inputs including text, images, tables, CSV, Excel, and PDF, with synthetic data generation for controlled stress testing without exposing proprietary data. It can also evaluate an agent’s ability to use enterprise tools such as email, Jira, and Slack, measuring workflow completion, output correctness, process efficiency, and consistency across runs.Starting Price: Free -
25
Microsoft Copilot Studio
Microsoft
Microsoft Copilot Studio is a comprehensive platform that enables users to create and manage AI-driven agents tailored to specific business needs. Utilizing low-code and generative AI capabilities, it allows for the design of agents that can access internal knowledge bases, execute actions through a wide array of data connectors, and operate autonomously to enhance productivity. These agents can be seamlessly deployed across various channels, including Microsoft 365 applications, internal websites, and mobile apps, ensuring integration into existing workflows. Copilot Studio also offers robust governance features, providing IT departments with centralized control over usage, analytics, and security policies.Starting Price: $200 per month -
26
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. -
27
NVIDIA OpenShell
NVIDIA
NVIDIA OpenShell is an open, secure runtime for autonomous AI agents that governs how agents execute, what they can access, and where inference traffic goes. Security is enforced in the environment rather than inside the model or application: nothing is permitted by default, permissions are granted through policy, and enforcement happens outside the agent process so it cannot be bypassed through prompting. Each agent runs in an isolated sandbox with no direct network access, limited file access, and kernel-level monitoring of system calls. A gateway acts as the control plane, authenticating users, managing sandbox lifecycles, and delivering policies, settings, credentials, and inference configuration. A supervisor runs outside each sandbox, evaluates network requests against policy at the binary, destination, method, and path levels, and provides credentials only when allowed. -
28
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 -
29
Harden
Harden
Harden AIF is an agent endpoint security platform for AI coding agents. It evaluates supported agent tool calls before execution using the developer’s intent, session context, organisational policy, and the effect of the proposed action. Harden helps protect against destructive commands, unauthorized access, unintended data transfers, secret exposure, privilege misuse, and other unsafe agent actions. Legitimate actions can proceed normally, sensitive data in supported flows can be safely redacted, and actions that fall outside the developer’s intent or authority are blocked before execution. Harden works across popular coding agents and agentic development tools including Claude Code, Codex, Cursor, Antigravity CLI, Kiro, Hermes, and OpenClaw, providing a consistent security layer across the agent ecosystem. -
30
TruGen AI
TruGen AI
TruGen AI transforms conversational agents into fully immersive, human-like video agents that can see, hear, respond, and act in real time, offering hyper-realistic avatars with expressive faces, eye contact, and natural body/face animations. These agents are powered by two core models: a video-avatar model that generates real-time, high-fidelity facial animation, and a vision model that enables context- and emotion-aware interaction (e.g., face recognition, action detection). Through a developer-first, API-based platform, you can embed these video agents into websites or apps in just a few lines of code. Once deployed, agents respond with sub-second latency, carry conversational memory, integrate with a knowledge base, and can call custom APIs or tools, allowing them to deliver context-aware, brand-consistent responses or execute actions rather than just chat.Starting Price: $28 per month -
31
ZizkaDB
Zizka AI SL
ZizkaDB by Zizka AI is an operational intelligence database for production AI agents. The platform helps teams understand why an agent behaved a certain way by capturing decisions, causal lineage, session replay, and behavioral drift. ZizkaDB gives developers tools to replay agent sessions end to end, compare behavior against a baseline, and detect regressions before users notice. It supports Python SDK, TypeScript SDK, Cursor MCP, native tools, REST API, open source self-hosting, and managed cloud deployment. Teams can use ZizkaDB to investigate prompt changes, skipped tool policies, inconsistent answers, and costly retry loops. Built for AI engineering teams, ZizkaDB helps debug production agents faster and improve agent reliability with clearer operational visibility.Starting Price: Free -
32
Oracle AI Agent Platform
Oracle
Oracle AI Agent Platform is a fully-managed service that enables the creation, deployment, and management of intelligent virtual agents powered by large language models and integrated AI technologies. Agents can be set up through a simple few-step process, and can orchestrate tools such as natural‐language-to‐SQL conversion, retrieval-augmented generation from enterprise knowledge bases, custom function or API calling, and even the ability to coordinate sub-agents. They support multi-turn conversational experiences with context retention across sessions, enabling agents to handle follow‐up questions and maintain personalised, consistent interactions. Built-in guardrails help enforce content moderation, prompt-injection prevention, and protection of PII (personally identifiable information), while optional human-in-the-loop workflows allow real-time supervision and escalation.Starting Price: $0.003 per 10,000 transactions -
33
Strands Agents
Strands Agents
Strands Agents is an open-source framework designed to help developers build controllable and flexible AI agents using Python and TypeScript. It enables users to create agents by defining tools as simple functions, eliminating the need for complex workflows or orchestration pipelines. The SDK works with any model and cloud provider, giving developers full freedom in how they deploy and scale their agents. It introduces a streamlined agent loop where the model handles reasoning while developers maintain control through code. Features like steering hooks allow developers to validate and guide agent behavior before and after actions are taken. The platform also includes built-in capabilities such as memory management, observability, and evaluation tools. Overall, Strands Agents SDK simplifies agent development while improving reliability, control, and performance.Starting Price: Free -
34
Rithmo
Rithmo
Rithmo is the fact-checker for AI agents. It helps organizations prevent autonomous and managed agents from acting on stale, conflicting, or superseded business information. Rithmo continuously reconciles decisions made across meetings, messages, and operational systems so agents can work from the current business truth rather than simply the information they retrieve. When context changes, Rithmo can identify the discrepancy, provide the resolved answer with provenance, and prevent an agent from proceeding when the conflict cannot be safely resolved. As part of the AI agent governance and agent reliability stack, Rithmo provides decision history, provenance, supersession, and an audit trail showing what changed and why. Rithmo complements AI agent memory, orchestration, observability, security, and enterprise search by addressing a different problem: whether the business context driving an agent’s action is still true. -
35
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 -
36
Gobii
Gobii
Gobii is a cloud-hosted platform that enables you to spin up fully managed browser-automation agents via API, allowing tasks like web-based research, form-filling, data extraction, and multi-step workflows to be automated at scale. These agents operate like “always-on employees” that can browse websites, even those without APIs, navigate dynamic content, handle JavaScript, and even rotate proxies automatically. Users can create agents, assign them prompts or tasks, and retrieve structured JSON outputs or live previews of the agent’s browser actions. Gobii supports synchronous and asynchronous task execution, secret handling for things like login credentials, schema-enforced output validation, and integrates with popular programming languages (Python, Node.js) for seamless implementation. The platform emphasises scalability (hundreds of tasks in parallel), enterprise-grade security (audit logs, proxies, task management), and a simple developer experience.Starting Price: $30 per month -
37
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 -
38
Nexus
NexusGPT
Nexus enables anyone to build, finetune, and integrate autonomous AI agents without touching a single line of code. On NexusGPT, you can create agents able to perform about any task you can imagine and integrate them where it matters the most for you (from your website all the way to your internal Slack channel). To do that, Nexus provides an existing marketplace of over 1000 ready-made agents as well as over 1500 tools ready to add to your agent. You can also add custom knowledge (from pdf, pptx, docx, website, notion, etc.) and add it as well to your own agent to make it relevant for your own use case and business. Finally, once you want to deploy your agent, you can do it simply directly on your website, WhatsApp, Slack, Teams, etc. in one click.Starting Price: $19/mo/user -
39
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. -
40
Archestra
Archestra
Archestra is an open source, self-hosted AI platform for deploying and governing agents across an organization. It provides agentic chat for non-developers, apps and skills, shared projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and observability in one platform. Users sign in with SSO, and every tool call runs under that person’s own identity rather than a shared service account. Projects keep chats, files, scheduled tasks, and instructions together, while agents run in sandboxed containers and can start from schedules, emails, or webhooks. MCP servers run in the organization’s own Kubernetes environment and move through security-reviewed promotion flows with separate credentials and network policies. Knowledge bases can connect Confluence, Jira, drives, and internal documents while preserving source-system ACLs, so users only retrieve content they are already allowed to access.Starting Price: Free -
41
Future AGI
Future AGI
Future AGI is an open-source, end-to-end AI agent engineering platform that covers the full lifecycle: simulate, evaluate, optimize, monitor, protect, gateway, and guardrail - all from one place. It helps teams ship self-improving AI agents by collapsing fragmented tooling into one platform and one feedback loop: simulate edge cases before launch, evaluate what happens in production, protect users in real time, and turn every trace into signal for the next version. Key capabilities include 70+ built-in evaluation templates covering quality, safety, factuality, RAG retrieval, bias, audio, and image evaluation, OpenTelemetry-native tracing, agent optimization, and real-time guardrails (PII detection, prompt injection blocking). SDKs are available in Python, TypeScript, Java, and C#, with integrations for OpenAI, LangChain, LlamaIndex, and 30+ frameworks. Apache 2.0 licensed, self-hostable or cloud-managed. -
42
pay.sh
pay.sh
pay.sh is a pay-per-use API access for agents and command lines, built to let agents pay for any API with one line. It gives agents a normal tool path for paid APIs: discover a service, review the cost, make the request, and receive the response, with no sign-up, no account, and no subscription required. pay.sh is designed for the agentic economy, where autonomous agents need APIs, but today’s best services still demand a human to create an account, choose a plan, add an API key, and attach a credit card. Instead, pay.sh closes that gap with API calls that agents can discover, price, and call directly. It includes a directory for agents, developers, and API teams, helping API providers publish services in a format that agents can inspect and use without asking a human to create an account first. Agents can search the catalog, inspect endpoints, and call pay-per-use services across categories like AI/ML, maps, data, search, messaging, compute, storage, and crypto/finance.Starting Price: Free -
43
AgentVoice
AgentVoice
AgentVoice is a platform for building AI‑powered voice agents that can make and answer phone calls and take meaningful actions, like booking meetings, sending texts, and updating CRMs, without requiring a developer. Each call flows through speech recognition to transcribe what’s said, a large language model to determine what to say and do, and an AI‑generated voice to respond naturally. Our agents don’t just respond, they execute tasks during or after the call using real data, memory, and tool access. You can create no‑code workflows that update CRMs, schedule meetings, send follow‑ups, screen leads, handle voicemails, or filter spam calls, all in the same call. Setup is fast, you can create and launch a working agent in less than 30 minutes, using no code: define your agent, choose a voice, connect your tools via 200+ native integrations, low‑code options, or a robust API and webhooks, then upload or generate a script.Starting Price: $50 per month -
44
Hindsight
Vectorize
Hindsight is an agent memory system built to create smarter AI agents that learn over time instead of starting every conversation from zero. Most agent memory systems focus on recalling conversation history, but Hindsight is focused on making agents learn, not just remember. It gives AI agents persistent long-term memory using biomimetic data structures, helping them retain facts, recall relevant context, and reflect on experience as part of reasoning. Hindsight is designed for agents that need to understand who a user is, what has been discussed, what preferences have emerged, what decisions were made, and how behavior should adapt across sessions. It provides three core operations: retain, recall, and reflect. Retain stores new information, recall retrieves the right memories when needed, and reflect helps agents synthesize observations, form mental models, and learn from prior interactions.Starting Price: Free -
45
Sideconvo
Sideconvo
Sideconvo is an AI-powered plugin that transforms a static website into a conversational, interactive experience by automatically crawling all its pages and content, including FAQs, product info, and uploaded documents, to build a knowledge base for a smart agent. Once installed via a single line of JavaScript in the site header, Sideconvo becomes active immediately, enabling both voice and text conversations on your site. The AI agent can engage users in real time: answering questions, guiding visitors, summarizing or retrieving relevant content, helping navigate a site or product catalogue, and thereby improving usability, support, and conversion rates. Site owners can also customize the personality and tone of the AI (e.g., playful, polished, professional) and fine-tune its behavior; decide what content the agent should focus on, what to avoid, who it should speak to, and tailor conversation starters or instructions.Starting Price: $41.67 per month -
46
Prefactor
Prefactor
Prefactor is a real-time evaluation, observability, and reliability platform for production AI agents. It scores every run the moment it happens for quality, drift, cost, and data risk, then wires those evaluations into action so a failing agent is caught live instead of only appearing on a dashboard afterward. Teams can observe every model call, tool invocation, and decision as structured traces and spans, run LLM-as-judge, technical, qualitative, and custom evaluations on each step, and attach context from GitHub, Linear, Jira, databases, internal APIs, or other sources as ground truth. When a run crosses a defined threshold, Prefactor can block or throttle it, pause a sensitive action, or route it to a person for approval, modification, or rejection before execution, with every decision logged. The CLI discovers agents without a platform migration, while TypeScript and Python SDKs provide native support for LangChain, Claude, Vercel AI, OpenClaw, and LiveKit.Starting Price: $250 per month -
47
Flue
Flue
Flue is an open agent framework for building durable AI agents with a programmable TypeScript harness. Created by the team behind Astro, it uses a React-like hooks API to compose agent behavior, persistent state, lifecycle events, models, tools, sandboxes, subagents, skills, and MCP servers in code. Agents are stateful and addressable over HTTP, keep context across conversations and events, and can change capabilities as work progresses. Flue records every session in a durable stream, so accepted work survives crashes, restarts, and deploys; interrupted sessions resume automatically and clients reconnect without starting over. Developers can run agents locally, in CI, from their own backend, or orchestrate them with systems such as Cloudflare Workflows and Inngest. Secure sandboxes let agents run commands, edit files, and do real work, while tools connect them to APIs and data. Flue is powered by Pi and supports different LLM providers, allowing teams to choose the models they want. -
48
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. -
49
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. -
50
Forsy
Forsy
Forsy is built around authentic human signal from real agent workflows, helping teams capture, understand, and trade agent trajectory data across the agent stack. It tracks agent work in real time as it happens, rather than reconstructing activity afterward, creating native capture for traces, tasks, and toolchain activity. It is designed for full coverage across everyday tasks, specialized workflows, and different domains, giving teams one engine for trajectory data across the agents they already use. Forsy turns AI agents into strategic assets by making authentic workflow data discoverable, licensable, and sellable through a market for agent data. Its high-fidelity data is purpose-built for teams building more capable and reliable agents, helping them access the kinds of real workflow traces needed to improve agent behavior, reliability, and evaluation.
