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openhuman

OpenHuman OpenHuman is your personal AI super intelligence: a brain that remembers everything, a fantastic orchestrator, a deep researcher. Local-first, simple, powerful. Discussions • Discord • Reddit • X/Twitter • Docs • Follow @senamakel (Creator) 🇺🇸 English | 🇨🇳 简体中文 | 🇯🇵 日本語 | 🇰🇷 한국어 | 🇩🇪 Deutsch | 🇵🇰 اردو Early Beta : Under active development. Expect rough edges. OpenHuman is not AGI. But it is a meaningful architectural step closer, with better memory, better orchestration, and better tooling. 🎉 Within one week of launch, OpenHuman became the number one trending repository on GitHub for nine days in a row. Install Download installers from tinyhumans.ai/openhuman or from the GitHub Releases page. For terminal installs (Homebrew, Debian/Ubuntu .deb , AUR, install scripts, and platform notes), see INSTALL.md . What is OpenHuman? OpenHuman is three things most assistants aren't: a brain that builds a persistent, local memory of your world; a fantastic orchestrator that runs fleets of agents on durable graphs; and a deep researcher that sweeps your data and the web before you finish asking. Every bullet links to the deeper writeup in the docs . 🧠 The brain Memory Tree + Obsidian Wiki : your data compressed into scored Markdown trees in SQLite on your machine, mirrored as an Obsidian vault you can open and edit. No vector-soup black box. 100+ OAuth integrations, 5,000+ MCP servers, 90,000+ Skills : one click into Gmail, Notion, GitHub, Slack and the rest of your stack. Auto-fetch feeds the brain every 20 minutes, so it has tomorrow's context this morning. Goals & Todos : long-term goals, durable per-thread goals, and a shared kanban board per conversation. TokenJuice : tool output compressed before it hits the model: same information, up to 80% fewer tokens. A brain this big would be unaffordable without it. 🕸️ The orchestrator Workflows : the agent proposes the automation; you review it on a canvas and save. Durable, trigger-driven, approval-gated runs on open-source tinyflows . A harness that finishes the job : checkpointed graph runs on open-source tinyagents . Stuck agents get steered, halted ones return a root cause, and every run replays with real per-call costs. A split brain, always on : a fast reflex agent triages inbound traffic while a deep reasoning core delegates to worker fleets, steered by the subconscious. 🔬 The deep researcher & doer Batteries included : managed web search , powered by Exa , is included with your OpenHuman subscription and needs no API key; bring your own Exa key to search directly on your own Exa account and billing. Plus scraper, coder toolset, a real browser , and native voice with in-process Whisper. Model routing picks the right LLM per workload on one subscription. That subscription is a default, not a lock-in: point any workload at your own provider key or a fully local Ollama model , and mix the three however you like. Image & video generation : Seedream/SeedEdit images and Seedance/Veo video, straight into your workspace on the same subscription. 17 messaging channels : Telegram, Discord, Slack, WhatsApp, Signal, iMessage… plus native email (IMAP IDLE + SMTP). Your agent reaches you where you already are. 🧍 Human, private, yours Simple, UI-first & Human : install to working agent in a few clicks, with no config files and no terminal. And it has a face : a mascot that speaks, reacts, and remembers you. Privacy & security : on-device encrypted data, approval gate, OS-keyring secrets, and opt-in sandboxing. There is also Privacy Mode : flip one switch and no inference leaves your machine, enforced in the Rust core. Themes & Theme Studio : five theme families plus a full visual editor, exportable as JSON. Context in minutes, not weeks OpenHuman is the first agent harness that gets to know you in minutes. Inspired by Karpathy's LLM Knowledgebase . Most agents start cold. Hermes learns by watching you work; OpenClaw waits for plugins to ferry context in. Either way, you spend days or weeks before the agent knows enough about your stack to be genuinely useful. OpenHuman summarizes and compresses all your documents, emails & chats; and creates a memory graph that lets your agent remember everything about you. OpenHuman skips the wait. Connect your accounts, let auto-fetch pull data locally on a 20-minute loop, and then have Memory Trees compress everything into Markdown files stored intelligently in a Karpathy-style Obsidian wiki . In just one sync pass, the agent has full (compressed) context of your inbox, your calendar, your repos, your docs, your messages. No training period. No "give it a few weeks.". It becomes you, controlled by you. Already self-host agentmemory across other coding agents? OpenHuman ships an optional Memory backend that proxies to it. Set memory.backend = "agentmemory" in config.toml and the same durable store powers OpenHuman alongside Claude Code, Cursor, Codex, and OpenCode. See the agentmemory backend page for setup. An orchestrator, not a chatbot Most agent harnesses run one agent in one loop. OpenHuman is an orchestrator : Agent-to-agent messaging runs over Signal-protocol end-to-end encryption, so you can connect anything (Claude Code, Codex, OpenClaw, Hermes) and use OpenHuman to orchestrate all of your agents and tools. Graphs, not loops : turns run as checkpointed graphs on tinyagents . They pause for a human, survive a restart, and resume mid-run. Sub-agent fleets : specialists spawn three levels deep; stuck agents become root-cause reports. Agent-to-agent, encrypted : instances orchestrate each other over Signal-protocol E2E sessions with x402 payments. No server ever sees plaintext. Workflows you can see Heavily inspired by n8n and Zapier, workflows bring the same visual, trigger-driven automation to your agent, except the agent builds them for you. Ask for an automation and it proposes one: a tinyflows graph you review on a visual canvas before saving. The agent proposes the workflow; you review it on a canvas and save it. Saved workflows are durable and trigger-driven. They fire on schedules, webhooks, or channel events, survive restarts, and gate side effects behind approvals. OpenHuman vs Other Agent Harnesses High-level comparison (products evolve, so verify against each vendor). OpenHuman is built to minimize vendor sprawl , keep workflow knowledge on-device , and give the agent a persistent memory of your data, not only chat. Claude Cowork OpenClaw Hermes Agent OpenHuman Open-source 🚫 Proprietary ✅ MIT ✅ MIT ✅ GNU Simple to start ✅ Desktop + CLI ⚠️ Terminal-first ⚠️ Terminal-first ✅ Clean UI, minutes Cost ⚠️ Sub + add-ons ⚠️ BYO models ⚠️ BYO models ✅ One sub + TokenJuice Memory ✅ Chat-scoped ⚠️ Plugin-reliant ✅ Self-learning 🚀 Memory Tree + Obsidian vault, optional agentmemory backend Integrations ⚠️ Few connectors ⚠️ BYO ⚠️ BYO 🚀 100+ OAuth · 5k+ MCP · 90k+ Skills Auto-fetch 🚫 None 🚫 None 🚫 None ✅ 20-min sync into memory Orchestration ⚠️ Sub-tasks ⚠️ Single loop ⚠️ Single loop 🚀 Agent graphs + checkpoints + E2E-encrypted A2A Workflows 🚫 None ⚠️ Scripts ⚠️ Scripts 🚀 Visual, durable, agent-proposed, approval-gated Meetings 🚫 None 🚫 None 🚫 None 🚀 Joins Meet/Zoom/Teams/Webex, speaks, live transcript Messaging channels 🚫 None ⚠️ A few ⚠️ A few ✅ 17 incl. native email (IMAP/SMTP) Local-only mode 🚫 Cloud-only ⚠️ BYO local ⚠️ BYO local ✅ One-switch enforced Privacy Mode Observability 🚫 Opaque ⚠️ Logs ⚠️ Logs ✅ Replayable run journals + per-call cost accounting API sprawl 🚫 Extra keys 🚫 BYOK 🚫 Multi-vendor ✅ One account Model routing 🚫 Single model ⚠️ Manual ⚠️ Manual ✅ Built-in Native tools ✅ Code-only ✅ Code-only ✅ Code-only ✅ Code + search + scraper + browser + voice + media gen Contributing from source New contributor? Start with CONTRIBUTING.md for the fork/PR workflow and local validation commands, or use the copy-paste AI-agent prompt in CONTRIBUTING-BEGINNERS.md . The short path is: Install Git, Node.js 24+, pnpm 10.10.0, Rust 1.93.0 ( rustfmt + clippy ), CMake, Ninja, ripgrep, and the platform desktop build prerequisites. Fork and clone the repo, then run git submodule update --init --recursive before pnpm install so the vendored Tauri/CEF sources are present. Use pnpm dev for web-only UI work, pnpm --filter openhuman-app dev:app for the desktop shell, and focused checks such as pnpm typecheck , pnpm format:check , and cargo check -p openhuman --lib before opening a PR. Deeper docs: Architecture · Getting Set Up · Cloud Deploy . Star us on GitHub Building toward AGI and artificial consciousness? Star the repo and help others find the path. Contributors Hall of Fame Show some love and end up in the hall of fame. Contributors get free merch and special access to our Discord .

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Typebot

Key features Visual no-code builder for designing conversational forms, surveys, and automated chatbot flows Rich library of interactive blocks, including text, buttons, inputs, payments, and integrations with third-party services Self-hosting option for full data ownership and customization Hosted cloud version with a generous free tier for quick setup Open-source codebase available for community contributions and transparency Platforms: Web Links: Official website · Source code Pricing: Freemium. The self-hosted edition is free under the AGPL-3.0 license, and a hosted free tier is available with core features.

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Skyvern

Key features Leverages large language models and computer vision to automate browser workflows without relying on brittle selectors. Designed to work on any website, reducing the maintenance burden of traditional browser automation scripts. Open-source AI-driven alternative to conventional RPA platforms like UiPath. Built in Python, making it accessible for developers to extend and integrate. Targeted at automating complex, multi-step workflows that span multiple pages and interactions. Platforms: Linux, macOS, Windows Links Official Website Source Code Pricing Free and fully open source under the AGPL-3.0 license.

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screenpipe

screenpipe is a free, open-source alternative to Rewind AI . Screenpipe is a 24/7 local screen and audio recorder that lets you search, recall, and automate anything you've seen or heard using AI, with full data control on your device.

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Scira

Key features AI-powered search engine designed for delivering instant answers Minimalistic interface focused on simplicity and speed Free to use with no listed pricing tiers Platforms: Web-based (browser accessible). Links Official Website Pricing: Free.

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Orama

Key features Full-text and vector search engine purpose-built for JavaScript environments Lightweight, dependency-free footprint suitable for performance-sensitive use cases Runs on the edge, in the browser, on Node.js, and in any JavaScript runtime Written in TypeScript with a JavaScript-friendly API Open-source under the Apache-2.0 license Platforms: Windows, macOS, Linux. Links Official website Source code Pricing: Free. Orama is fully free and open-source under the Apache-2.0 license, with no paid tier required for core functionality.

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OpenClaw

Key features Positions itself as an agentic AI assistant focused on taking action, not just responding to queries. Designed as an open-source alternative in the AI assistant space. Aims to function as a chatbot that can execute tasks rather than only answering questions. Cross-platform availability across Windows, macOS, and Linux desktop environments. Platforms: Windows, macOS, Linux. Pricing: Free.

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Open WebUI

Key features Self-hosted AI chat interface that you can run on your own hardware, keeping conversations and data under your control. Works with both local models (for example via Ollama) and remote LLM providers from a single web UI. Extensible, community-driven project designed to be customized and adapted to different workflows. Multi-model support, letting you switch between different language models without leaving the app. Browser-based chat experience that requires no client installation beyond a modern web browser. Platforms: Windows, macOS, Linux. Links Official website Source code Pricing: Fully free and open source under the MIT license; self-hostable Docker image with no paid tier.

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Lightpanda

Key features Open-source browser engineered specifically for AI agents, automation, and web scraping tasks Lightweight architecture designed to consume far fewer resources than full browsers such as Chrome Headless browsing capabilities tailored for programmatic and automated workflows Built with a focus on speed and minimal overhead for server-side and agent-driven use cases Self-hosted deployment model that gives users full control over their automation environment Platforms: Linux, macOS Links Official website Source code Pricing Free and open-source under the MIT license; self-hosted browser for automation.

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Khoj

Key features Search across personal notes, documents, and the web from a single chat interface Automates tasks and acts as a personal research assistant Self-hosted design that keeps your data on your own infrastructure Functions as an AI "second brain" for organizing and retrieving knowledge Open-source codebase licensed under AGPL-3.0 Platforms: Windows, macOS, Linux Links Official website Source code Pricing: Freemium. A free, self-hostable open-source release under AGPL-3.0 is available, and a hosted cloud version with usage limits is also offered.

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Inbox Zero

Key features AI-powered email assistant for drafting and automating replies Automated inbox organization to surface what needs attention Tools and workflows designed to help users reach inbox zero Open-source codebase available for self-hosting and customization Web-based access with no local install required for the hosted version Platforms: Web Links Official website Source code Pricing: Freemium. An open-source, self-hostable version is available under the AGPL-3.0 license.

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Fullmoon

Key features Native macOS and iOS application built specifically for Apple platforms. Chat interface designed for interacting with large language models. Runs conversations locally on-device, keeping data private. Focused on privacy by avoiding cloud-based processing. Tailored experience on both Mac and iPhone/iPad. Platforms: macOS, iOS Links Official website Pricing: Free to download; closed-source proprietary app.

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FastGPT

Key features Open-source platform for building AI-powered knowledge bases and question-answering systems Uses Retrieval-Augmented Generation (RAG) to combine large language models with custom data sources Supports knowledge ingestion, indexing, and natural-language querying Vector search capabilities for retrieving relevant context from documents Chatbot workflow tools for creating conversational AI agents Flexible integration with various LLM providers Platforms: Linux, macOS, Windows Links Official Website Source Code Pricing: Free — self-hosted, free and open-source under the MIT license.

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Cherry Studio

Key features Multi-model AI desktop client supporting many LLM providers from a single interface Local-first, privacy-focused design for handling AI conversations Ability to chat with and compare models side by side Open-source codebase released under the AGPL-3.0 license Cross-platform desktop application for Windows, macOS, and Linux Platforms: Windows, macOS, Linux Links Official Website Source Code Pricing: Fully free and open source under the AGPL-3.0 license.

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Browser Use

Key features Enables AI agents to autonomously control and automate any web browser Supports LLM-driven browser tasks including navigation, form filling, and web scraping Provides a scalable framework for orchestrating complex browser interactions Built on Playwright for reliable cross-browser automation Distributed as a Python library for easy integration into AI workflows Open-source under the MIT license, allowing flexible self-hosting and customization Platforms: Windows, macOS, Linux Links Official Website Source Code Pricing Free and open-source under the MIT license; self-hosted Python library for AI browser automation.

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AnythingLLM

Key features Chat with your own documents using retrieval-augmented generation (RAG) and any supported LLM Desktop application with a single, unified interface for chatting, embedding, and managing vector storage Full support for local models, enabling fully offline and private use Works with a wide range of LLM providers, letting you swap models without changing your workflow Open source under the MIT license, giving you transparency and control over your data Platforms: Windows, macOS, Linux Links Official website Source code Pricing Fully free and open source under the MIT license, with optional paid cloud hosting tiers.

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5ire

Key features Cross-platform desktop AI assistant compatible with local and cloud-based large language models Built-in knowledge base support for grounded, context-aware responses Designed for offline, private AI usage on personal devices Available as a free open-source application under the MIT license Platforms: Windows, macOS, Linux Links Official website Source code Pricing: Free open-source desktop app released under the MIT license.

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OpenLLMetry

Key features Open-source observability tool designed specifically for LLM applications. Provides tracing, metrics, and performance monitoring to help debug and optimize AI workflows. Self-hosted LLM observability with full telemetry capabilities. Licensed under Apache-2.0, enabling free use and modification. Platforms: Windows, macOS, Linux Links Official website: https://www.traceloop.com/openllmetry Source code: https://github.com/openllmetry/openllmetry Pricing: Free. OpenLLMetry is free and open-source under the Apache-2.0 license, offering self-hosted LLM observability with tracing and monitoring capabilities.

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OpenLIT

Key features Open-source observability platform purpose-built for LLM applications. Combines monitoring, debugging, and analytics in one integrated tool. Native OpenTelemetry support for standardized telemetry collection. Self-hosted deployment with no usage limits. Licensed under Apache-2.0, so it's free to use and extend. A free, open-source alternative to commercial tools like LangSmith. Platforms Linux, macOS, Windows. Links Official website: https://openlit.ai Source code: https://github.com/openlit/openlit Pricing Free and open-source under Apache-2.0, self-hosted with no usage limits.

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Open-Notebook

Key features Free and open-source AI-powered research notebook. Privacy-first: runs locally on your own machine. Chat with PDFs, documents, and notes to gather insights. Bring your preferred LLM provider: Ollama, OpenAI-compatible APIs, or other providers. Self-host locally for full control over your data. Platforms: Windows, macOS, Linux Links Official website: https://open-notebook.vercel.app Source code: https://github.com/SiddharthMaheshwari/Open-Notebook Pricing: Free — completely free and open-source; self-host locally and connect to Ollama, OpenAI-compatible APIs, or other providers.

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