27 projects
xyberos-web-search
Web search abstraction plugin (RFC-0019, M5): one WebSearch contract, free DuckDuckGo (default) + Tavily/Serper/Brave/Exa/Firecrawl behind it
xyberos-mcp
Model Context Protocol plugin (RFC-0019, M3): stdio + streamable HTTP client, one Tool per server tool, and expose() to serve an app's tools as an MCP server
xyberos-redis
Redis plugin (RFC-0019, M4): RedisVectorStore + RedisMemory + cache backing for CacheResponder
xyberos-qdrant
Qdrant VectorStore plugin (RFC-0019, M4): hosted or in-memory Qdrant as an xyberos VectorStore
xyberos-faiss
FAISS VectorStore plugin (RFC-0019, M4): local, dependency-free-of-server vector search
xyberos-vision
Vision plugin (RFC-0019, M8): describe images, OCR, generate images
xyberos-tts
Text-to-speech plugin (RFC-0019, M8): ElevenLabs/OpenAI/Polly/Piper
xyberos-stt
Speech-to-text plugin (RFC-0019, M8): local Whisper + Deepgram/AssemblyAI
xyberos-storage
Object storage plugin (RFC-0019, M9): S3, Azure Blob, GCS, OneDrive behind one ObjectStore contract
xyberos-slack
Slack Web API plugin (RFC-0019, M7): post messages, list channels
xyberos-queues
Message queue plugin (RFC-0019, M9): Redis Streams, RabbitMQ, Kafka behind one MessageQueue contract
xyberos-observability
Observability exporters plugin (RFC-0019, M10): OTel, Prometheus, Langfuse, Sentry as thin EventBus exporters
xyberos-notion
Notion API plugin (RFC-0019, M7): search + create pages
xyberos-llm-providers
Remaining LLM providers plugin (RFC-0019, M6): OpenAI-compatible presets + Bedrock + Vertex, no new architecture
xyberos-linear
Linear GraphQL plugin (RFC-0019, M7): search and create issues
xyberos-jira
Jira REST API plugin (RFC-0019, M7): search and create issues
xyberos-http-api
Generic HTTP/API connector plugin (M2): point at any REST API, get typed tools
xyberos-gitlab
GitLab REST plugin (RFC-0019, M7): project tools for Xyberos agents
xyberos-github
GitHub REST plugin (RFC-0019, M7): user/repo/issue tools for Xyberos agents
xyberos
A continuously evolving, layered platform for building AI applications. Its architecture is designed to support capabilities including agents, tools, workflows, multi-agent collaboration, streaming, memory, knowledge, planning, trainable intent and learning engines, plugins, observability, and security as the platform develops.
xyberos-documents
Filesystem + document loaders plugin (M1): PDF, DOCX, HTML, CSV, XLSX -> IngestingKnowledge
xyberos-discord
Discord bot API plugin (RFC-0019, M7): send messages, get channels
xyberos-db
Database plugin (RFC-0019/0020, M9): connect -> inspect schema -> query -> structured result
xyberos-auth
Auth plugin (RFC-0019, M9): OAuth2, OIDC, JWT with Auth0/Okta/Entra presets
xyberos-plugin-validator
Static + live-kernel validation for Xyberos plugins (structure, contract, config, tests, docs, compatibility).
xyberos-plugin-sdk
Typed plugin base classes, declarative loader, and contract introspection for the Xyberos platform.
xyberos-cli
Xyberos plugin developer CLI — scaffold, validate, and repair plugins (wizard + generator + validator).
