Best Artificial Intelligence Software for OpenClaw - Page 6
View:
Compare the Top Artificial Intelligence Software that integrates with OpenClaw as of September 2026 - Page 6
Sort By:
This a list of Artificial Intelligence software that integrates with OpenClaw. Use the filters on the left to add additional filters for products that have integrations with OpenClaw. View the products that work with OpenClaw in the table below.
-
1
Dock
Dock
Dock is the AI workspace for you, your team, and every agent you run. It gives humans and AI agents the same shared cloud workspace, where everyone can read and write the same state in real time instead of working across scattered chats, files, and one-off outputs. Dock is built around tables with typed columns, rich-text docs, and agents as first-class identities, each with their own API keys, permissions, and audit trail rather than delegated human tokens. Teams can use Dock to plan, research, decide, and ship with humans and AI on the same surface, with use cases across engineering, go-to-market, research, operations, solo work, and agency workflows. Engineering teams can manage sprint planning, spec docs, and incident response; GTM teams can organize content calendars, sales pipelines, and customer success; research teams can track interviews, themes, and competitive intelligence; and operations teams can manage runbooks, recruiting, compliance, and onboarding.Starting Price: $19 per month -
2
Multica
Multica
Multica is an open source project management platform for human and agent teams, built to turn coding agents into real teammates rather than separate tools. It gives humans and AI agents the same workspace, where agents can be assigned issues, report progress, reply in comments, raise blockers, ship code, and appear in the member list with profiles, avatars, and open-issue queues. Users can assign work to an agent the same way they would hand a task to a teammate, or open a chat window to ask it to draft an issue, answer a question, or handle a one-off request. Multica’s shared context layer keeps issue comments, attachments, reports, task history, and workspace knowledge accessible to both people and agents, while skills act as workspace-wide playbooks that let every agent reuse the same definitions and operating instructions.Starting Price: Free -
3
AionUi
AionUi
AionUi is a desktop workspace where AI agents live on the user’s computer and actually collaborate across everyday tasks such as writing code, making slides, sorting files, crunching numbers, editing photos, creating reports, writing papers, and running automations 24/7. Users can work with one agent, run multiple agents in parallel, assign tasks to the right assistant, or team them up inside one unified workspace. AionUi auto-detects Claude Code, Codex, Gemini CLI, Aion CLI, OpenCode, OpenClaw, Goose, and 20+ more tools already installed on the machine, so users can reuse their existing setup without reinstalling or duplicating tools. It includes 20+ built-in assistants for presentations, Excel, financial models, documents, academic papers, diagrams, UI/UX design, games, creative writing, project planning, recruiting, setup, and autonomous end-to-end work. Users can also create custom assistants tailored to their workflow.Starting Price: Free -
4
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 -
5
Kimchi
Kimchi
Kimchi is a centralized gateway for managing SaaS and self-hosted AI models, built to help teams deploy, route, optimize, and scale LLM infrastructure without changing the developer workflow. It gives organizations one control layer for AI coding agents, open-source models, commercial models, and internal inference, allowing teams to combine lower-cost OSS models with higher-tier providers such as Claude, OpenAI, Gemini, and others when the task requires it. Kimchi focuses on reducing LLM cost while making development more autonomous, with fast model routing, coding-oriented inference, MCP integration, multi-agent workflows, interchangeable OSS and commercial models, and low-friction local setup. It supports running the Kimchi coding agent across teams, giving engineering organizations broader access to AI coding while preserving team-wide usage attribution, cost visibility, and operational control.Starting Price: Free -
6
Agnes AI
Agnes AI
Agnes AI is an all-in-one AI gateway, API platform, and application ecosystem designed to turn intelligence into something truly usable for everyday work, creation, and automation. It brings together AI search, content generation, image and video creation, presentation building, AI agents, and multimodal APIs in one connected platform. Through the Agnes app, users can ask questions by voice or text, get fast and context-aware answers, create high-quality visuals and videos with structured templates, turn ideas into presentation-ready slides, explore AI-powered games, and deploy AgnesClaw as an AI agent to automate complex tasks. Agnes is built as a productivity engine that moves users from idea to result in seconds, helping them search, create, and execute from one place. For developers, the Agnes AI API provides access to multimodal models for text generation and reasoning, image generation and editing, and synchronized audio-video generation.Starting Price: Free -
7
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.Starting Price: Free -
8
MemPalace
MemPalace
MemPalace is a local-first storage and retrieval system for AI workflows, built to give AI a memory while keeping the user’s words under their own control. It stores conversations verbatim instead of reducing them to summaries, then organizes that memory into a navigable “palace” structure inspired by the ancient memory palace technique. Conversations can be arranged into wings for people, projects, or topics, with rooms and drawers used to make information easier to locate, narrow, and retrieve later. It is designed for people who believe their words are theirs, with local-first storage, zero telemetry, and a privacy-focused approach that keeps memory on the user’s machine. MemPalace supports AI workflows through MCP tooling, including tools for palace reads and writes, knowledge-graph operations, cross-wing navigation, drawer management, and agent diaries.Starting Price: Free -
9
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 -
10
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 -
11
Laguna XS.2
Poolside
Laguna XS.2 is Poolside’s open-weight agentic coding model, built as the lightest and fastest model in the Laguna family. It is a 33B total-parameter Mixture of Experts model with 3B activated parameters, trained completely in-house on 30T tokens. As Poolside’s newest generation model open to the community, Laguna XS.2 is a second-generation architecture and the company’s first open-weight model, built on the lessons learned from training Laguna M.1 across synthetic data and reinforcement learning. The model is designed for agentic coding workflows, where it can code, act, iterate quickly, and perform best inside Poolside’s coding agent. Laguna XS.2 is positioned as a strong model for rapid agentic iteration, especially for developers and teams that need a compact, efficient coding model rather than a heavier frontier system. It is released under an Apache 2.0 license, allowing the community to evaluate, fine-tune, quantize, serve, and build on the weights.Starting Price: Free -
12
Laguna M.1
Poolside
Laguna M.1 is Poolside’s most capable model for agentic coding, built and trained in-house for software development workflows. It is a 225B total-parameter Mixture of Experts model with 23B activated parameters, trained completely in-house on 30T tokens using 6,144 interconnected NVIDIA H200 GPUs. Poolside trained Laguna M.1 from scratch with its own data work, training codebase, and async on-policy reinforcement learning in its agent harness, all with agentic coding in mind. The model is designed to perform at its best inside Poolside’s coding agent, where it can reason through software tasks, interact with tools, edit code, run tests, and support longer autonomous development sessions. Laguna M.1 is built for developers and teams working on complex coding tasks that require stronger reasoning, architectural understanding, terminal use, and multi-step execution than lightweight models can provide.Starting Price: Free -
13
Chutes
Chutes
Chutes is breakthrough serverless compute for AI, at scale: a leading open source, decentralized compute platform for deploying, scaling, and running open-source models in production. Built for hyperscaling AI-powered products, it gives developers high-performance AI inference for top state-of-the-art open source models, ephemeral jobs, batch processing jobs, and much more. Chutes works around the clock to provide the latest open-source models minutes after release, so when a new model lands, builders can get access to what is next first. There is a Chute for everything, not just the LLMs you would expect: Chutes runs image, video, speech, music, embeddings, content moderation, and custom model workloads, always on and ready to scale. With Chutes, teams bring the code and let the platform handle the rest, using fast APIs, the Chutes SDK, or one-click deployments to run serverless AI code without infrastructure setup.Starting Price: $1.80 per hour -
14
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 -
15
Gemini 3.5 Flash-Lite
Google
Gemini 3.5 Flash-Lite is Google’s fastest model in the Gemini 3.5 series, designed for low-latency tasks and high-throughput developer workflows such as agentic search, document processing, coding, and large-scale data analysis. It delivers 350 output tokens per second and significantly improves on previous Flash-Lite generations in both quality and agentic performance. Developers can configure its thinking level to match the workload: minimal or low thinking supports fast execution for high-volume tasks, while higher thinking levels enable more complex, multi-step subagent workflows. Built-in computer-use capabilities allow the model to interact reliably with digital environments across supported surfaces. Gemini 3.5 Flash-Lite also advances coding, long-context understanding, and real-world task execution, outperforming Gemini 3.1 Flash-Lite across key evaluations and even surpassing Gemini 3 Flash on several agentic and software-engineering benchmarks.Starting Price: $0.30 per 1M input tokens -
16
Unabyss
Unabyss
Unabyss is a universal context layer for AI tools that connects once and carries the same live, structured context into every AI a user works with. It pulls information from daily work sources such as Slack, Gmail, Notion, Google Calendar, GitHub, Linear, Google Drive, meeting tools, and more, then extracts, organizes, tags, and keeps that context current automatically. Instead of leaving knowledge trapped inside one chatbot or frozen in a manually maintained context file, Unabyss lets Claude, ChatGPT, Cursor, Codex, Gemini, Perplexity, OpenCode, VS Code, OpenClaw, and other MCP-compatible tools work from the same picture. Each AI can retrieve only the relevant slice of context, structured by topic, source, sensitivity, project, account, and other attributes, so users do not have to repeatedly explain their role, preferences, decisions, clients, repositories, or current priorities.Starting Price: $13 per month -
17
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 -
18
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 -
19
Memmy
Memmy
Memmy is a local-first AI memory layer that lets every AI tool remember the same version of you. Built for people who work with several assistants every day, it automatically reads authorized collaboration history from tools such as Cursor, Claude, and Codex, then turns scattered conversations, preferences, project context, technical decisions, progress, and recurring pitfalls into structured memory. Its workflow has three stages: Scan reviews selected histories on the user’s device; Organize distills, deduplicates, categorizes, and indexes useful information; and Inject gives the active AI only the most relevant memories through precise, on-demand matching instead of sending a complete data dump. This allows users to switch tools without rebuilding context, merge plans discussed across agents, document recent decisions, preserve writing preferences, and continue unfinished work.Starting Price: Free -
20
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.Starting Price: Free -
21
Oqoqo
Oqoqo
Oqoqo is a platform for building evals and custom benchmarks for real-world agentic tasks, letting teams run experiments at scale in realistic environments on fully managed cloud infrastructure. Users can define private task sets and rubrics, test whether agents can use products such as skills, MCP servers, CLIs, SDKs, APIs, documentation, and files, and compare agents, models, treatments, and effort levels under the same conditions. Each task runs independently in its own isolated environment with the project state, context, files, tools, and credentials it needs. Oqoqo captures the full trajectory of every run, including commands, tool calls, errors, files, and where an agent stopped, then reports pass or fail results, pass rates, lift, token usage, and friction. Teams can use these insights to identify product interface issues, token inefficiencies, and performance differences, fix what failed, and rerun the experiment.Starting Price: $20 per month -
22
Dograh
Dograh
Dograh is an open source, self-hostable voice agent platform with a no-code workflow builder for creating production voice agents. Teams can choose their own inbound channels, speech-to-text, LLM, text-to-speech, and telephony providers, or replace the traditional cascade with speech-to-speech models for direct audio-in, audio-out conversations with natural turn-taking, interruption handling, and low latency. The platform supports inbound and outbound calling, widgets, telephony integrations, observability, traces, real-time analytics, hybrid pre-recorded voice plus TTS, and more than 70 languages. Its MCP server lets Claude Code, Cursor, OpenClaw, Codex, and other agent runtimes create, modify, and deploy voice agents directly from development environments. Dograh can run on your own servers, inside a private cloud or VPC, or in a managed environment, with support for models hosted entirely within your perimeter.Starting Price: 1¢ per minute -
23
Better Claw
Better Claw
BetterClaw is a no-code AI agent builder for teams that need agents working, not infrastructure. Users can describe a job in chat, connect tools and an LLM provider, and deploy autonomous agents without Docker, YAML, config files, or VPS hosting. Agents can run on schedules across Telegram, Slack, Discord, Gmail, and custom webhooks, while tracked task states show work as backlog, ready, running, success, or failure and let failed runs be re-queued. The platform runs any OpenClaw-compatible skill and includes curated skills that pass a four-layer security audit. Teams can turn successful conversations into reusable skills, connect more than 30 LLM providers, and have agents return real deliverables including PDF, DOCX, XLSX/CSV, images, audio, video, and Markdown rather than chat text that must be copied manually. Built-in security includes AES-256 encrypted credentials, isolated containers per agent, five-minute secrets auto-purge, per-agent credential grants, access audit logs, etc.Starting Price: $49 per month -
24
HOL Guard
HOL
HOL Guard is a local-first runtime security layer for AI agents that watches what an AI assistant is about to do and stops risky actions before they happen. It sits between the agent and the computer, evaluating supported tool calls and local artifacts for threats such as secret and credential exposure, destructive commands, prompt-injection-driven actions, malicious or changed packages, risky MCP configuration, and unsafe plugins, skills, hooks, and settings. Known threats can be blocked automatically, while ambiguous actions are paused for user approval so people remain in control. Guard runs entirely on the developer’s machine, works offline, and does not upload files, prompts, or passwords. Local checks typically complete in under 50 milliseconds and require no changes to existing code or routines. It supports coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, with tailored integrations that inspect actions before execution.Starting Price: $4.99 per month -
25
Linkly AI
Linkly AI
Linkly AI is an AI agent-first knowledge engine that turns the files already on your computer into a live, searchable context layer for AI assistants. It automatically parses and indexes notes, study materials, bookmarks, knowledge bases, recordings, meeting videos, images, e-books, and other local files so agents can search, compare, read, and dig through them without requiring users to curate a knowledge base by hand. Supported formats include PDF, Markdown, JPG, PNG, MOV, MP4, PPTX, TXT, WAV, DOCX, HTML, MP3, and EPUB. Each document receives an outline index that progressively exposes relevant sections, helping agents read large files with purpose instead of blindly loading everything. Cross-language semantic search uses a local multilingual model to search across hundreds of languages, while queries can return in under half a second. Data stays local by default, and third-party tools or models receive only the snippets they need rather than access to the original files.Starting Price: $29 per year -
26
Showly
Showly
Showly is a website hosting platform for sites created with AI agents, giving agent-generated work a polished place to preview, publish, share, and manage. Users describe what they want to build in the coding agent they already use, such as a report, research page, presentation, documentation site, portfolio, landing page, prototype, or product specification, and the agent creates the page while Showly handles hosting and publishing. It connects through MCP and works with Claude Code, Codex, Cursor, OpenClaw, Hermes Agent, and other compatible agents, allowing users to publish without leaving their existing workflow. Every change appears first as a private preview, so users can review the exact page, request revisions, and decide when it goes live. Published work receives a stable, shareable web link, and version history makes it possible to restore an earlier published version when needed. Showly can also turn existing output into live pages by accepting content.Starting Price: $12 per month -
27
Stable Diffusion
Stability AI
Stable Diffusion is Stability AI’s professional image generation model family built for creating high-quality visuals from text prompts. The models support a wide range of styles, including photography, 3D, painting, illustration, line art, and other creative formats. Stable Diffusion is designed for strong prompt adherence, diverse visual outputs, and flexible use across professional, creative, and technical workflows. Users can deploy the models through self-hosted licensing, the Stability AI API, cloud partner ecosystems, or web-based creative applications. Stability AI also provides image editing tools for inpainting, outpainting, object removal, upscaling, sketch control, structure control, and style transformation. Built for creators, developers, brands, and enterprises, Stable Diffusion helps teams generate, edit, customize, and scale visual content production.Starting Price: $0.2 per image -
28
Recraft
Recraft
Recraft is an AI-powered image generation platform designed to create high-quality visuals with strong design aesthetics. It enables users to generate photorealistic images, vectors, and design assets from simple prompts. The platform stands out for its ability to produce vector graphics directly, making it useful for professional design work. Recraft focuses on delivering visually consistent and stylistically refined outputs without requiring extensive training. Users can easily create and reuse custom styles by uploading reference images. It also includes tools for editing, upscaling, and refining images within a single platform. The system is built to support creative workflows for branding, marketing, and visual content creation. Overall, Recraft helps designers and creators produce polished visuals quickly and efficiently.Starting Price: $10/month -
29
Manifest
Manifest
Manifest is a Backend-as-a-Service (BaaS) designed to accelerate app development by simplifying the backend part. With a focus on developer efficiency, Manifest allows developers to get a complete backend that fits into only 1 YMAL file, enabling teams to go from idea to deployment faster. It integrates seamlessly with any front-end and scales effortlessly. Built with flexibility in mind, Manifest supports multiple use cases, from MVPs to production-grade applications. Developers can focus on building projects while Manifest takes care of the backend.Starting Price: $0 -
30
Seedance
ByteDance
Seedance 1.0 API is officially live, giving creators and developers direct access to the world’s most advanced generative video model. Ranked #1 globally on the Artificial Analysis benchmark, Seedance delivers unmatched performance in both text-to-video and image-to-video generation. It supports multi-shot storytelling, allowing characters, styles, and scenes to remain consistent across transitions. Users can expect smooth motion, precise prompt adherence, and diverse stylistic rendering across photorealistic, cinematic, and creative outputs. The API provides a generous free trial with 2 million tokens and affordable pay-as-you-go pricing from just $1.8 per million tokens. With scalability and high concurrency support, Seedance enables studios, marketers, and enterprises to generate 5–10 second cinematic-quality videos in seconds.
