Specifically: - Multi-channel deployment (Slack/Discord) is working but needs more testing - Some integrations (Teams, advanced webhooks) are in progress - Documentation is being expanded
The core functionality (RAG knowledge base, tool use, web deployment, self-hosting) is solid and ready to use.
Would rather launch early and iterate with community feedback than wait for "perfect"! Happy to be transparent about what's ready and what's coming.
When will you support AWS Bedrock?
achushankar•6h ago
The Problem: I kept needing AI that could both answer questions from company knowledge AND take actions (send Slack messages, trigger workflows, call APIs). Existing solutions either don't support agentic tool use well, lock you into their cloud, or require weeks to build from scratch.
What Syllabi Does (Three Pillars):
1. INTEGRATE ANY TOOLS • Call webhooks & custom APIs • Send Slack messages, emails, calendar events • Trigger workflows in external services • Connect YOUR custom tools via API/webhooks • AI intelligently decides WHEN and HOW to use each tool (that's the agentic part)
2. KNOWLEDGE BASE (RAG) • Transform docs, videos, websites into knowledge base • PDFs, Google Drive, Notion, Confluence • Advanced RAG with source citations • Click citations to see exact passages highlighted in original documents • Multi-format processing with smart chunking
3. DEPLOY ANYWHERE • Embed widget on any website • Slack & Discord bots • Microsoft Teams (coming soon) • Standalone web app • REST API for custom integrations • One agent, multiple channels
Key Technical Features: - MIT licensed, self-hosted, privacy-first - Modern AI models (latest GPT-4, GPT-4o, o1 series) - More providers coming (Anthropic, local models) - Agentic tool selection with function calling - Channel-agnostic core with adapter pattern - Async job queue for document processing - Plugin system for custom skills
Tech Stack: Next.js (frontend), Python FastAPI (backend), PostgreSQL, Supabase, OpenAI API
Use Cases: • AI course assistant that answers questions AND books office hours • Support bot trained on docs that can create tickets in Linear/Jira • Team knowledge base in Slack that triggers workflows • API docs helper that generates AND runs code examples
Architecture Highlights: - Modular design with clean separation of concerns - Row-level security for multi-tenancy - Docker deployment for easy self-hosting - Comprehensive API for custom integrations
I started building this 6 months ago because every project seemed to need the same thing: an AI that could access knowledge AND take actions, without vendor lock-in or per-message pricing.
Website: https://www.syllabi-ai.com/ GitHub: https://github.com/Achu-shankar/Syllabi Docs: https://www.syllabi-ai.com/docs
Would love feedback from the HN community – especially on: - Agentic AI architecture approaches - Tool use and function calling strategies - Multi-channel deployment patterns - Self-hosting and security best practices
Happy to answer questions about the tech stack, RAG implementation, agentic tool selection, or anything else!