bybit-exchange/kaas

docker run -d --name kaas -p 8080:8080 -v ./data:/app/data -e LLM_API_KEY=sk-xxx -e LLM_BASE_URL=https://api.openai.com/v1 -e LLM_MODEL=gpt-4o-mini ghcr.io/bybit-exchange/kaas:edge
curl -fsSL https://raw.githubusercontent.com/bybit-exchange/kaas/main/install.sh | sh

Usage

• •kaas serve
• •claude mcp add kaas -- kb-ai mcp
• •claude mcp add --transport http kaas http://host:8080/mcp
• •Set KAAS_MCP_ENABLED=true to expose the /mcp endpoint

Key features

• ✓4-phase compile pipeline (extract, classify, write, index) producing human-readable Markdown wiki articles
• ✓LLM-iterative retrieval with cited answers via a single ask tool (no embeddings)
• ✓Git-friendly output: all wiki articles are plain Markdown
• ✓Streaming chat with SSE source citations
• ✓Multiple input sources: paste text, upload files, or provide URLs
• ✓MCP access over both stdio and streamable-http transports
• ✓Worker acceleration with circuit breaker and lease recovery

Best for

Individuals or teams who want to distill long-lived knowledge into a compoundable wiki queryable by coding agents

Caveats

• ⚠No darwin/amd64 build; Intel Macs must use Docker or the agent path
• ⚠Requires an OpenAI-compatible LLM API key (LLM_API_KEY)
• ⚠HTTP MCP endpoint is unauthenticated by default unless KAAS_MCP_TOKEN is set
• ⚠Single Docker image bundles Go backend + Python daemon + web UI