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Algochat provides customizable AI chatbots that react to streamers' voice in real time to keep Twitch and Kick chats engaged.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Connects your docs, inboxes and apps into one source-backed knowledge base that ChatGPT, Claude and agents can query.
AI-powered knowledge base software for building internal and external docs, help centers, SOPs, and API references with analytics.
Production RAG API for developers: parse, extract and search documents with SOTA OCR and cited retrieval, cloud or on-prem.
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
Free trial available
- ✦Real-time voice-triggered responses
- ✦Multiple bots with unique personalities
- ✦Customizable trigger messages and emotes
- ✦Twitch and Kick support
- ✦Scheduled announcements
- ✦No account connection required
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦Unifies docs, websites, inboxes and files into one synced knowledge base
- ✦Works with ChatGPT, Claude, Copilot, Gemini and MCP-aware agents
- ✦Source-cited answers with reviewable past lookups
- ✦Save settled decisions as reusable Memories
- ✦Sources auto re-sync every 24 hours
- ✦Exclude anything you do not want indexed
- ✦Knowledge base authoring portal
- ✦Customizable customer-facing docs site
- ✦Eddy AI assistant and AI chatbot
- ✦Analytics and custom workflows
- ✦Import from PDF/Word, export to PDF
- ✦SSO, SCIM, and API support
- ✦Parse endpoint with SOTA OCR (LightOnOCR-2)
- ✦Extract endpoint for schema-based JSON
- ✦Search endpoint with hybrid retrieval and citations
- ✦MCP-native and LLM-agnostic
- ✦Workspaces and chunk-level access control
- ✦On-prem, VPC or air-gapped deployment
- →Boosting stream chat engagement
- →Automating audience interaction
- →Keeping chat active during streams
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Let AI answer questions about your business from existing content
- →Give e-commerce or agency teams one place to query support, brand and catalog docs
- →Keep canonical decisions like pricing or ICP current across every AI tool
- →Building external product documentation
- →Running internal knowledge bases
- →Publishing SOPs and user manuals
- →Creating API documentation
- →Build production RAG without a long in-house pipeline
- →OCR and structure scanned documents
- →Grounded document search with citations for agents
- →Deploy secure enterprise document intelligence