by vercel-labs
Open source file-system and knowledge based agent template. Build AI agents that stay up to date with your knowledge base
# Add to your Claude Code skills
git clone https://github.com/vercel-labs/knowledge-agent-templateOpen source file-system and knowledge based agent template. Build AI agents that stay up to date with your knowledge base — grep, find, and cat across your sources, no embeddings, no vector DB. Plug any source (GitHub repos, YouTube transcripts, custom APIs) and deploy as a chat app, a GitHub bot, a Discord bot, or all at once.
No vector database. No chunking pipeline. No embedding model. Agents use grep, find, and cat inside isolated sandboxes to search across all your sources. Results are deterministic, explainable, and instant. Zero infrastructure overhead.
Write your agent once, deploy it on the web chat, GitHub Issues, Discord - and soon Slack, Linear, and more. Powered by pluggable adapters via the Chat SDK. Adding a new platform is .
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Full admin interface out of the box: usage stats, error logs, user management, source configuration, and content sync controls. No need for external dashboards or third-party monitoring.
Ask your app about itself. "What errors happened in the last 24 hours?", "Show token usage by model", "Which endpoints are slowest?" — the admin agent has access to internal tools like query_stats, query_errors, run_sql, and chart to answer operational questions in natural language.
Every incoming question is classified by complexity (trivial → complex) and routed to the right model. Simple questions go to fast, cheap models. Hard questions go to powerful ones. Cost optimization happens automatically, no manual rules to maintain.
The chat UI shows what the agent is doing in real ti...