Asking for a raise, declining extra hours, or setting a boundary with a friend can all be rehearsed first in SocialCoach, an AI coach built for the conversations people dread. Pick one of 63 scenarios across seven areas of life, or describe your own situation, and talk to a character who has real goals, doubts, and limits, so politeness alone does not win the argument. A stance meter shows how firmly the other person holds their position as you speak, and optional timed replies add pressure for readiness practice. The debrief quotes what you actually said before judging it, separates communication quality from the outcome, and suggests one thing to change on the next attempt. A Today page recommends a daily scene from your goals, Growth tracks practice history against five competencies, and a Learn library offers short videos, theories, and cases with sources. Step into 3D dinners, elevator lobbies, and offices to answer by typing or speaking. Practice history stays in the browser and can be exported, with no sign-up needed, and the mobile-first layout installs as an app on a phone. Settings accept your own Anthropic or OpenAI-compatible model, or a server key, so a self-hosted copy runs on any gateway. English and Simplified Chinese are both built in. Rehearse a hard conversation three times here and the real one feels smaller. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Every AI agent gets a face, a colour, and a job in Murmur, a chat app that makes running Hermes Agent as friendly as texting a colleague. Start from a template (Researcher, Writer, Planner, Coder, Coach, or Chef) or describe a new agent from scratch, then talk to one at a time or drop several into a group room and call on a single one with an at-mention. Replies stream in live, long jobs show a plan that ticks itself off, and every step appears in plain words. Connect a model with a ChatGPT plan, a local model server, or an API key from OpenRouter, OpenAI, Anthropic, and others, with the model and thinking effort chosen per agent or chat. Agents can reach Notion, Linear, Todoist, Figma, and dozens of other apps, and they ask for an Allow or Don't allow before changing anything important. Morning briefings run as routines, a memory view shows what each agent knows with controls to edit or forget it, and WhatsApp or Telegram can be linked by scanning a code. A voice call mode lets an agent answer out loud, and slash commands set long-running goals or ask quick side questions. Chats sync across browser, desktop, and phone. Solo builders, homelab fans, and small teams get a calm front door to their own agents. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

A whole season of subtitles can be translated in a single drop, with every timecode left exactly where it was. Subtitle Translator strips cue numbers and timing out of each file, sends only the dialogue to the translation engine, and puts everything back afterward, so a model never gets the chance to scramble a timeline. Pick any of 120+ target languages, or turn on multi-language mode to export several at once. Engines range from DeepL, Google, and Azure to dozens of LLM providers, gateways, and any OpenAI-compatible endpoint, including a local Ollama or LM Studio model. Context-aware mode feeds surrounding lines to the model for steadier dialogue and consistent character voices, and a glossary keeps names and product terms fixed across episodes. Bilingual output stacks original and translation in one file, either as plain SRT or as ASS with separate styles for each line. SRT, VTT, ASS, and LRC convert between each other during translation. Translated lines are cached, so a rate-limit pause or a closed tab only costs the missing lines. A text extractor strips timing for summaries and scripts. The interface itself is available in 18 languages, and companion tools handle Markdown, JSON locale files, and plain text. A back catalog of course videos or fan-subbed episodes becomes a weekend job instead of a month-long slog. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Got a research paper and no idea if anyone would pay for it? Academic Commercialization Agent answers with a cited triage report instead of a hunch. Type a topic or attach a paper PDF, pick a report language and scoring profile, and follow the run as it works through academic, patent, and market evidence. The result opens with a decision brief: an overall readiness score out of 100, the strongest evidence, the biggest risk, and a recommended first step. A scorecard breaks that number into technology readiness, manufacturing readiness, patent position, market accessibility, and evidence confidence, with a short reason behind each bar. The full report adds opportunities, risks, evidence limitations, reviewer notes, and a numbered reference list. Optional decision context captures who is deciding, what they own, and what choice is on the table, so the verdict reads as a license, invest, pilot, or spin-out call. Run history keeps every analysis searchable, interrupted runs resume from their last checkpoint, and two runs can be compared side by side. Reports export to Markdown or PDF and share by link, and a Sources search finds saved excerpts by ID or keyword. Six finished sample reports, one in Chinese, open without any key. A technology transfer office facing a pile of new disclosures can rank them in a first pass before spending expert time. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Change an agent's prompt, model, or audience from a dashboard and watch it go live without a single redeploy. MATE opens in a Work Room where any root agent can be picked from a card grid and chatted with directly. The Studio holds the builder: a drag-and-drop canvas draws parent and child agents, attaches tools and MCP servers, and keeps every configuration versioned with one-click rollback. Trace Replay plays a past conversation back across that canvas so each hand-off is visible. A template library imports ready-made agent teams, from research pipelines to support desks. The Control Room covers governance: role-based access per agent, dollar costs per agent and project, budgets that warn or block, guardrails for personal data and prompt injection, and alerts to Slack, Discord, email, or a webhook. Eval suites score replies by exact match, similarity, or an LLM judge, and a Playground compares models or prompts side by side on score, speed, and cost. Agents can be embedded as a chat widget, called through an OpenAI-compatible endpoint, or exposed over MCP and A2A. Agencies running client agents and platform teams juggling dozens of them can manage the lot from one dashboard. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Meet an AI assistant that lives on your own server, remembers who you are, and keeps working after you close the tab. ShibaClaw opens with a four-step onboarding wizard for provider, credentials, and model, then drops you into a chat workspace with agent profiles for building, planning, reviewing, administering, and security work. Long-term memory lives in editable files, a dream diary records what the agent learned, and a Library view maps how profiles relate to each other. Agents call file, shell, and web tools, plug into external MCP servers, and hand work to isolated or forked sub-agents. The Automations page schedules one-shot, interval, or cron jobs like a weekday morning support brief, and a plugin catalog adds services like GitHub, Notion, PostgreSQL, and Google Workspace in one click. An optional knowledge base searches your own documents, and channel integrations reach the agent from Discord, Telegram, Slack, and Matrix. Provider choices span OpenRouter, Anthropic, OpenAI, Gemini, DeepSeek, Groq, Ollama, and any OpenAI-compatible endpoint. A credential vault encrypts keys, and file tools stay inside a restricted workspace. Anyone who wants research, drafting, and recurring chores handled by an assistant they host themselves will feel at home. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

MCPProxy puts one safe endpoint in front of every MCP server your AI agents use, and it holds each new server in quarantine until a person approves it. Add stdio or HTTP servers on the Servers page, then review the captured tool definitions and scanner findings in the Review queue before any agent can call them. The Tools page lists every tool with a Read, Write, or Destructive tier, an approval state, and a usage count, plus switches to hide whatever you do not want exposed. Agents see a short set of discovery and call tools instead of the full catalog, and the Home dashboard estimates how much context that saves per request. The Activity Log records each call with its server, intent, status, and duration, and exports for audits. The Usage page charts calls per tool, response sizes, errors, latency, and activity over time, filtered by profile, client, or token. Profiles and agent tokens scope what each client may reach, a Secrets page keeps credentials out of config files, and a setup wizard connects Claude Code, Claude Desktop, Cursor, Windsurf, and VS Code. Platform teams and solo builders get one place to see and control everything their agents can touch. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

A spreadsheet goes in, a plain-English readout comes out, and with a local model the file never leaves your own network. CSV AI Analyzer reads CSV and Excel files, detects delimiters, headers, and column types, and opens with a data-quality report that counts missing values, repeated rows, and type mismatches per column. A searchable preview table sits next to column, sort, and filter controls. One click on Run Complete Analysis produces a summary with key insights, an anomalies view, and chart suggestions, and the Custom Query tab answers follow-up questions in a chat thread. Charts come as bar, line, pie, scatter, or area, can be built by hand from any two columns, and export as SVG, PNG, or CSV. Reports download as PDF or Markdown. Point it at OpenAI, Anthropic, Google, Mistral, or any OpenAI-compatible endpoint, including Ollama, LM Studio, and vLLM, to keep analysis fully local. API keys stay encrypted in the browser, and a language selector switches the interface. Monthly finance exports, operations reports, and founder dashboards turn into answers without a single formula. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Chat, files, editor, and shell share one browser window, so nothing the agent does happens out of sight. PiClaw streams replies from the model provider you configure, hosted or a local OpenAI-compatible server, and you can steer a running turn, queue follow-ups, or branch a side question with /btw. The workspace sidebar shows a file tree with folder sizes. Open a Markdown note for a live preview with checklists and tables, a CSV for a table view, or a script in the code editor with syntax highlighting and an optional Vim mode. A detachable terminal runs shell commands in the same workspace, and the agent's own file and shell tools work there too. Scheduled tasks run on cron timings, chat history stays searchable between visits, and nightly Dream memory consolidates notes into plain files. Settings pages cover providers, models, MCP servers, keychain secrets, budgets, and session recordings. Optional add-ons bring Draw.io, kanban boards, and Proxmox or Portainer tools. Browser sign-in supports authenticator codes and passkeys, and the layout adapts to phones. A homelab server, a laptop, and a phone can all open the same private agent workspace, which suits solo developers and small teams. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Agents that keep working after you close the tab: a13n gives a team one shared place to define them, run them, and watch what they did. In the Console, an administrator adds models from OpenAI, Anthropic, Gemini, Bedrock, Azure, OpenRouter, DeepSeek, Ollama, and others, then creates agents with instructions, skills, memories, connections, browsers, and sandbox environments. A Try agent button opens a conversation, and the Debug view lays out every run step by step, with model calls, tool calls, token counts, cache rates, and durations. Sessions and schedules keep a history of conversations and recurring jobs. The Usage page charts spend, runs, requests, and tokens by agent, model, or member across a time range. Findings analyzes traces, flags answer quality and tool failures, and lets reviewers confirm or dismiss each one with a suggested improvement. Each agent has a Connect to app screen with its ID, service URL, and API key, so applications can call it over an HTTP API or SDK. Workers lease runs from PostgreSQL and save checkpoints to object storage, so interrupted work resumes. Customer support teams, internal platform groups, and product builders use it to ship agent features without writing their own orchestration layer. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Before an AI agent meets real users, put it through a security checkup it cannot sweet-talk. DodoGuard is a web console and command line where teams register their agents, run evaluation and red-team tasks against them, and decide if each one is cleared for launch. The overview page shows a security index, open risks, remediation counts, and a pipeline that runs from asset intake through detection and remediation to launch monitoring and audit reports. An asset ledger lists every managed agent with its platform, environment, and risk level. A guided wizard creates assessment tasks that pick a test library for prompt injection, instruction leakage, tool misuse, and output risks, then runs black-box conversations against the agent. Evaluation configs cover prompts, providers, variable cases, and several assertion types, with OpenAI, Anthropic, Azure, Bedrock, Ollama, and any OpenAI-compatible endpoint supported. Findings land in a closed-loop board where owners confirm, fix, retest, and close each risk, and finished tasks export as reports for release evidence. Docker Compose with SQLite brings up the web UI on port 3000, and the same engine runs in continuous integration. Security teams use it for launch gates, platform owners use it for regression checks after prompt changes, and auditors use it for evidence. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

A hacking gym for AI apps: every lab is a chatbot or agent with a planted weakness, and your job is to exploit it and capture the flag. The dashboard tracks score, rank, badges, and a live activity feed across three tiers. Ten core labs map to the OWASP Top 10 for LLM Applications, ten advanced labs need multi-turn tactics like persona escalation, stored injection, and tool chaining, and an encrypted expert tier unlocks last. Each lab opens with a short reference panel on the weakness, offers hints, and ends with the defense that would have stopped you. Play mode uses scripted assistants so flags reproduce every time and the whole range runs offline without API keys. Live mode points attacks at a real local model through Ollama, mints a fresh secret per session, streams replies token by token, and checks the output instead of a flag box. Scenarios cover direct prompt injection, a hidden payload in an uploaded image, and unsafe rendering of model output. A RAG lab accepts text and markdown uploads, so poisoning a knowledge base is hands-on. Two themes, Neon and Phosphor green-CRT, change the look. Security teams run workshops with it, red teamers sharpen prompt injection skills, and developers see why their guardrails fail. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Turn scattered meeting notes, policies, postmortems, and documents into a readable wiki that your team can question in plain language. Paste text, upload a file, or point KaaS at a web page, and an AI pipeline pulls out the concepts, decisions, and people, then writes them up as Markdown articles sorted into decision, reference, guide, and concept folders. Ask a question in chat and the answer cites the exact articles it came from, so anyone can open the source and check it. Each article shows tags, a source count, and a table of contents, and every page is stored as a plain Markdown file you can read, edit by hand, or commit to version control. Adding one new document only recompiles that document, which keeps model costs predictable as the library grows. A Builds page lists every submission with its status and attempts, and a failed worker's job is picked up again instead of lost. Derive a topic knowledge base to carve a focused collection out of the wiki for one subject, and let coding agents query the same wiki through an MCP ask tool. Team handbooks, customer onboarding, incident history, and pricing rules are the knowledge that ends up scattered across a dozen files, and this is where it comes back together. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Teams and communities sign in to a private AI chat site, and one admin console routes and meters every request. Users pick a model from the menu and chat with streamed answers, visible reasoning, projects that share a system prompt, searchable history, archives, and an Image Lab for generated pictures. Administrators connect providers that speak the OpenAI or Anthropic protocols, map several models onto each, and place users in groups with their own allowances counted in requests, tokens, or credits per five hours, week, or month. A developer endpoint accepts API keys and serves chat completions, Anthropic messages, responses, images, and a model list, so coding assistants and scripts can share the same pool. The dashboard charts requests, tokens, and spend by model and by person, and Availability probes idle models and trips a circuit breaker after repeated failures. Registration can be open, invite-only, or closed, with invite codes, email rules, authenticator-app two-step sign-in, and GitHub, Google, or OpenID Connect login. Announcements, a feedback inbox, an optional leaderboard, a guest trial chat, and scheduled backups to S3-compatible storage round out the operator toolkit. A company AI portal, a classroom, a research group, or a paid community with trial codes can all run on it. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

One executive voice, backed by nine specialist agents, answers business questions from your own documents instead of generic management advice. Ask if a product line should be built or deferred and the reply cites your financial snapshot, roadmap, and legal notes, then lists the numbers behind the call and the next steps. The Agent Council covers strategy, finance, people, legal, operations, marketing, product, sales, and board communications, and each agent accepts its own instructions and model. A company profile stores mission, target customer, and competitors. Departments and Goals track owners, weekly check-ins, and at-risk or off-track status. Knowledge accepts PDF, Word, Excel, CSV, Markdown, and text files, and can sync from Google Drive, OneDrive, Confluence, or Notion. Memory records decisions and what the company has learned, and a built-in scheduler surfaces follow-ups and alerts on its own. The same executive answers in Slack, Discord, Telegram, Google Chat, Gmail, Outlook, or any MCP client, with spend approval thresholds that govern how it works with people. Founders get a chief of staff, small teams a fractional advisor, and board prep a head start before the next investor update. Demo companies are bundled for a quick tour. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Outbound sales eats hours on list building, sequencing, and reply triage, and AgentSDR puts all three in one self-hosted workspace where AI drafts every reply for your approval. Leads holds every person and company as one record per contact, imported from CSV or Excel, so a reply on any channel lands in the same place. Tables enriches lists row by row with fifteen data providers, AI columns, and HTTP calls. Email sequences send from your own mailboxes with merge fields, sending windows, and daily limits. LinkedIn adds invitations with notes and follow-ups after acceptance, and WhatsApp covers chats and recorded calls. The Action required queue shows each reply with its AI classification, like Meeting Requested or Case Study, next to a drafted answer you edit and approve in one click. Nothing sends on its own. The Pipeline board groups open leads into needs action, waiting on them, and follow-ups exhausted, and Analytics charts replies, positive replies, meetings, and customers by channel. Do Not Contact rules, teams, and organization roles come built in. Founders, small sales teams, and agencies running outbound for clients get a lead-to-meeting engine. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

For a solo founder, FounderOS is one live dashboard where AI-assisted departments take care of the busywork of running a company. Home shows system health, agent counts, and inbound message volume, plus a free-text bar that turns a sentence into a task, a note, or an instruction for a named agent. Comms merges email, Slack, WhatsApp, and meeting threads into one inbox with unread counts, needs-reply flags, snooze, mark done, and reply starters that include a drafted answer. Funnel tracks touches, new leads, conversions, and revenue by source, with a pipeline from first touch to converted client. Agents shows a roster of AI seats and a conductor that delegates work, with runs by seat, open task lanes, and the items waiting on you. Tasks adds in-progress, overdue, and runtime stats beside a schedule. The Knowledge Visualizer maps notes, skills, agents, and accounts into a network with matrix, timeline, ranking, and findings views. Clients, Brand Deals, Finances, Social, and Content Lab sit in the same sidebar, and every integration stays optional until you connect it. A bundled demo company makes exploring easy. Creators, small agencies, and one-person businesses get a daily operating view in a single tab. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Send every AI request through one gateway that holds your model providers, API keys, and access rules. The web console starts with a first-run admin setup, then an LLM Provider page where OpenAI-compatible endpoints, Anthropic Claude, Azure OpenAI, Tongyi Qianwen, Moonshot, Zhipu, and other services are added with their tokens. AI Route Config maps path prefixes and model match rules to weighted target services, with token failover and first-packet timeouts to keep traffic moving when a key fails. Consumer Management issues key, OAuth2, and JWT credentials, and each route can limit access to named consumers. Plugin Management lists ready-made AI plugins for caching, context limits, data masking, prompt templates, prompt decorators, load balancing, and intent checks, plus traffic and security plugins that can be configured per route. MCP Management hosts MCP servers behind the same authentication and rate limits so agents call tools through one governed address. Service Sources import backends from Nacos, Zookeeper, Consul, Eureka, static addresses, or domains, and domain and certificate pages handle HTTPS, including free automatic certificates from Let's Encrypt. An LLM proxy for a product team, a shared model endpoint for several agents, or a replacement for an ingress controller all fit this console. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.