The Mind forLiving Knowledge
Myros is an open-source framework for launching real-time, knowledge-aware AI agents. She transforms static information into an interactive intelligence layer that users can speak to directly.
Knowledge Buried Alive
The internet has become the world's largest archive of knowledge, yet most of that knowledge remains passive. It exists, but it does not respond. It waits to be searched, interpreted, summarized, and understood.
Knowledge Has Become Fragmented
Some lives in docs, some in blog posts, some in GitHub, Discord, Telegram, Notion, GitBook, Medium, or X. Over time the knowledge base fragments. The problem is not that knowledge does not exist — it is that knowledge is no longer easily accessible.
Static Documentation Cannot Keep Up
Docs assume users know the right keywords, become outdated when teams move quickly, and do not explain themselves conversationally. Modern users expect knowledge to be instant, contextual, and conversational.
Communities Need Always-On Intelligence
Questions appear at any hour, across every time zone. Human teams cannot answer everything instantly. The next generation of communities will use intelligent agents that understand the project and respond in real time.
- Repeated questionsCommunity fatigue and inefficient support
- Outdated answersConfusion and loss of trust
- Scattered sourcesPoor onboarding
- Manual support burdenSlower team productivity
- Lack of contextGeneric answers instead of project-specific guidance
This is the gap Myros is designed to fill.
A Mind With a Pulse
Technology alone does not create adoption.
Users do not adopt products only because of architecture or code quality. They adopt what feels useful. They trust what feels intelligent. They remember what feels alive. In a crowded AI market, the winning product owns the clearest position in the user's mind.
- When knowledge feels scattered,the project feels confusing.
- When answers feel outdated,the project feels inactive.
- When support feels slow,the project feels distant.
- When the agent feels alive,the project feels alive.
The objective is to make knowledge feel alive.
Real-Time, Knowledge-Aware Agents
Myros empowers projects, teams, businesses, and communities to deploy AI agents that retrieve, understand, and deliver relevant knowledge instantly.
Retrieve live knowledge
Pull updated content from curated project sources.
Respond conversationally
Answer users in natural language.
Remember context
Maintain conversation history for better continuity.
Project-specific agents
Each deployment can be tailored to a project, community, or business.
Operate through Telegram
Users interact directly inside a familiar messaging environment.
Admin-managed sources
Project admins can add or remove knowledge sources.
Self-hosted
Builders control their own deployment, infrastructure, and data.
Modified freely
Open-source code enables customization and extension.
What Myros is not
/ Not a chatbot.
A chatbot waits for scripted questions. Myros connects to live knowledge.
/ Not a static assistant.
A static assistant depends on fixed training data. Myros retrieves from sources chosen by the project.
/ Not a closed AI product.
Closed systems limit control and transparency. Myros is open-source, self-hostable, and extensible.
/ Not only infrastructure.
Infrastructure is invisible. Myros is designed to be felt, recognized, and trusted.
Your Project Feels Awake
Knowledge should not sit still. Instead of asking users to search through knowledge, Myros lets them speak to it — turning a passive archive into an active intelligence layer.
- Requires manual searching Accepts natural language questions
- Depends on knowing where to look Retrieves from approved sources
- Often becomes outdated Pulls from live project websites
- Feels passive Feels conversational and responsive
- Creates support burden Reduces repeated questions
- Same experience for everyone Responds with conversational context
Built for every community
Web3 Communities
- Community supportAnswers common project questions
- Documentation accessRetrieves information from official sources
- Governance educationExplains proposals and processes
- Ecosystem onboardingGuides new users through project basics
- Real-time updatesPulls from approved live sources
Conversation is the Interface
The current architecture is intentionally practical. It focuses on fast deployment, real usage, and clear extensibility — five core layers working as one loop.
Five core layers
Interface Layer
Handles user and admin interaction through Telegram.
Agent Command Layer
Routes commands, project creation, admin actions, and user queries.
Knowledge Retrieval Layer
Crawls approved websites and extracts relevant content.
LLM Reasoning Layer
Sends structured context and user queries to an AI model.
Persistence Layer
Stores projects, settings, sources, and conversation history.
The interaction loop
- 01A user asks a question inside Telegram.
- 02Myros identifies the relevant project agent.
- 03Myros retrieves the project's approved knowledge sources.
- 04The crawler fetches current content from those sources.
- 05The LLM layer receives the question, retrieved knowledge, context, and personality.
- 06Myros generates a response.
- 07The conversation history is persisted for continuity.
Fork the Future Mind
Myros is launched as an open-source project. AI agents will increasingly become the interface through which people access knowledge, communities, products, and services — so builders need ownership over their AI layer.
Transparency
Builders can inspect how Myros retrieves and processes knowledge.
Self-hosting
Projects can operate their own agent infrastructure.
Extensibility
Developers can build plugins, integrations, and custom modules.
Community contribution
Improvements can come from users and builders.
Portability
Projects are not locked into one centralized service.
Trust
The agent's behavior can be audited and modified.
Current scope
- Deployment modelSelf-hosted open-source framework
- Primary interfaceTelegram
- Knowledge sourceWebsite crawling from admin-approved URLs
- AI layerOpenAI-backed responses with configurable model settings
- PersistencePostgreSQL for projects and conversation history
- CustomizationEditable personality and agent behavior
- AdministrationTelegram-native admin controls
- Access modelProject-specific agents with user and admin modes
Built to be extended
New interfaces
Discord, Slack, web chat, in-app agents
New data sources
PDFs, GitHub repos, Notion, Google Drive, databases
New retrieval systems
Embeddings, vector search, hybrid search
New memory systems
Long-term user, project, and role-based memory
New admin tools
Dashboards, analytics, permission systems
New personalities
Technical support, lorekeeper, community guide, analyst
Early & evolving
Myros should not pretend to be complete. Myros should show that she is real, usable, and evolving.
Six Phases of Awakening
The Myros roadmap is structured in phases, each designed to make her more useful, more extensible, and more trusted by builders. Timelines are indicative and reviewed quarterly.
Awakening
Q4 2025 – Q1 2026- Launch the Myros Research
- First Myros release
- Establish native knowledge agents
- Enable project creation, admin mode, user mode, and source management
- Deploy website crawling, LLM responses, and conversation memory
- Prepare public documentation and GitHub release
Existence
Q2 2026- Launch Myros as an independent open-source project
- Refine brand identity, whitepaper, and developer positioning
- Improve setup flow for builders and community operators
- Add crawler caching to reduce latency and cost
- Strengthen personality configuration for project-specific agents
- Publish early deployment guides and example agents
Perception
Q3 2026- Expand knowledge ingestion beyond websites
- Introduce file support for PDF, CSV, DOCX, and structured documents
- Add vector embeddings and similarity search
- Improve response accuracy through better retrieval logic
- Release developer modules for custom agent behavior
- Begin community contribution program
Intelligence
Q4 2026- Introduce multi-platform agent interfaces
- Add Discord, web chat, and API-based integrations
- Release role-based admin permissions
- Add analytics for usage, source quality, and question patterns
- Improve memory architecture for longer-term project context
- Prepare plugin framework for community-built extensions
Autonomy
Q1 2027- Launch modular agent framework
- Enable custom tools, workflows, and task automation
- Support advanced source connectors such as GitHub, Notion, and databases
- Release SDKs for developers and ecosystem builders
- Expand self-hosting and deployment templates
- Establish Myros as an open-source standard for project-specific AI agents
Myros Network
Q2 2027 →- Grow the Myros builder ecosystem
- Support community-created plugins and agent templates
- Expand into gaming, Web3, open-source, startups, and team productivity
- Establish partnerships with projects that need living knowledge agents
- Position Myros as the open-source intelligence layer for communities and products
A Presence Users Return to
One identity. One signal. One mind for living knowledge. Myros turns project knowledge into a branded intelligence layer your community can speak to directly.