#127 · Primary category： LLM Application Frameworks
BaseAI
BaseAI — The Web AI Framework. The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic pipes, tools, and memory. Deploy serverless with one command.
Project last updated：05/16/26
GitHub Stars
1.3K
Forks
110
Contributors
1
License
Other
Why we included this project
BaseAI is a TypeScript-first framework for building serverless AI agents. You define pipes, tools, and memory (RAG) in a local baseai directory and deploy with a single command. Developers curious about how agent frameworks wire retrieval, tool calling, and a dozen model providers (OpenAI, Anthropic, Mistral, Groq, and others) together will find a clean, minimal reference here. One honest caveat: the project is archived. The maintainers concluded that rigid frameworks become blockers in fast-moving AI engineering and now recommend Langbase's AI primitives instead. Treat it as a learning resource and a template for rolling your own agent tooling, not a foundation for new production systems.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
langchain
The agent engineering platform.
dify
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
litellm
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
llama_index
LlamaIndex is the leading document agent and OCR platform