Knowledge extraction model for akro.

tools

ollama run akropora/librarian

curl http://localhost:11434/api/chat \
  -d '{
    "model": "akropora/librarian",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='akropora/librarian',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'akropora/librarian',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Applications

Claude Code ollama launch claude --model akropora/librarian

OpenCode ollama launch opencode --model akropora/librarian

Hermes Agent ollama launch hermes --model akropora/librarian

OpenClaw ollama launch openclaw --model akropora/librarian

Models

View all →

Name

1 model

Size / Usage

Context

Input

librarian:latest

2.5GB · 256K context window · Text · 2 months ago

librarian:latest

2.5GB

256K

Text

Readme

Librarian

Librarian is Akro’s knowledge extraction model.

It turns raw chats and documents into compact, structured notes for Akro’s long-term memory system.

Librarian is designed to preserve useful context without forcing the main chat model to carry huge context windows.

It focuses on extracting:

user context
important facts
decisions
goals
open items
retrieval keywords
document knowledge

It is intentionally conservative and is instructed not to invent facts, preferences, relationships, or completion states.

Pull

ollama pull akropora/librarian:latest

Use with Akro

Akro expects the local name:

librarian:latest

Create that alias with:

ollama cp akropora/librarian:latest librarian:latest

Librarian is based on Qwen3 4B Instruct and is tuned for structured memory and knowledge extraction.