Agent Smith

An api to create local first human friendly agents in the browser or Nodejs

📚 Read the documentation

• The body
  • Overview
  • Install
  • Basic agent
  • Interactions
    • Talk
    • Components
    • Confirm
• The brain
  • Overview
  • Install
  • Basics
  • Options
  • Grammars
  • Multiple experts
  • Templates
    • Basics
    • History
    • Few shots
• Jobs
  • Get started
  • Create a job
  • Config
  • State management
  • Memory
• Lm task
  • Get started
  • Specification
  • Use tasks
  • Variables
  • Templates
• Transient memory
  • Get started
  • Usage
  • Api
• Semantic memory
  • Get started
  • Initialize
  • Write operations
  • Read operations
• Terminal client
  • Install
  • Overview
  • Config
  • Commands
  • Options
  • Plugins
• Examples
  • Data viz

Check the 💻 Starter template

What is an agent?

An agent is an anthropomorphic representation of a bot. It can:

• Think: interact with some language model servers to perform inference queries
• Interact: the agent can perform interactions with the user and get input and feedback
• Work: manage long running jobs with multiple tasks, use custom terminal commands
• Remember: use it's transient or semantic memory to store data

Packages

Version	Name	Description	Nodejs	Browser
	@agent-smith/body	The body	✅	✅
	@agent-smith/brain	The brain	✅	✅
	@agent-smith/jobs	Jobs	✅	✅
	@agent-smith/tmem	Transient memory	❌	✅
	@agent-smith/tmem-jobs	Jobs transient memory	❌	✅
	@agent-smith/smem	Semantic memory	✅	❌
	@agent-smith/tfm	Templates for models	✅	✅
	@agent-smith/lmtask	Yaml model task	✅	✅
	@agent-smith/cli	Terminal client	✅	❌

FAQ

• What local or remote inference servers can I use?

Actually it works with Llama.cpp, Koboldcpp and Ollama.

• Can I use this with OpenAI or other big apis?

Sorry no: this library favours local first or private remote inference servers

Example

Terminal client

Generate a commit message in a git repository (using the @agent-smith/feat-cli plugin):

lm commit .

Nodejs

const expert = useLmExpert({
    name: "default",
    localLm: "koboldcpp",
    templateName: "mistral",
    onToken: (t) => process.stdout.write(t),
});
const brain = useAgentBrain([expert]);
// auto discover if expert's inference servers are up
await brain.discover();
// run an inference query
const _prompt = "list the planets of the solar sytem";
await brain.think(_prompt, { 
   temperature: 0.2, 
   min_p: 0.05 
});

Libraries

Powered by:

• Nanostores for the state management and reactive variables
• Locallm for the inference api servers management
• Modprompt for the prompt templates management