Your Local Brain for
Claude Code, OpenClaw & Beyond

Small models purpose-trained for agentic AI — drop into any agentic framework and run fully on your own hardware. No API bills. No data leaving your machine.

Claude Code
Drop-in local model backend
OpenClaw
General-purpose local agent
Agentic Training
Tool use, planning, long-context
Fully Private
Nothing leaves your machine
Ollama Compatible
One command to run locally
CLAUDE CODE + LOCOREMODEL
$ claude --model locoremodel:14b
running on your machine:
  • •Reads your codebase, plans changes
  • •Executes shell commands, edits files
  • •Zero API cost. Zero data sent out.

Agentic Training

LocoreModel is trained specifically on agentic tasks — tool calling, multi-step planning, instruction following across long contexts. Not a general chat model repurposed for agents.

Runs Where You Are

Small enough to run on a MacBook or a home server. Quantized variants for every hardware tier. Plug into Claude Code or OpenClaw via Ollama's OpenAI-compatible endpoint — no code changes needed.

Break Free from Big APIs

Stop paying per token to run your agents. No rate limits, no outages, no terms-of-service restrictions. Your agent, your model, your machine.

Product & Technology

Built from the ground up for agentic AI — trained to act, not just answer.

Benchmark Performance

LocoreModel

A family of small models (3B–14B) trained specifically for agentic AI. Not fine-tuned chat models — trained from the ground up to drive agent loops.

Agentic Capabilities

  • ◦Native tool calling and structured output
  • ◦Multi-step task planning and self-correction
  • ◦Long-context instruction following (128k+)

Quantization & Efficiency

Context & Memory

Safety & Alignment

LocoreStack

The local deployment layer. Get LocoreModel running in minutes via Ollama, with an OpenAI-compatible endpoint that any agentic framework can point to.

Framework Compatibility

  • ◦Works with Claude Code, OpenClaw, and any OpenAI-compatible agent
  • ◦Served via Ollama — one line to switch from cloud to local
  • ◦No framework changes required

Local Tool Execution

Persistent Memory

System Architecture

Open & Extensible

Built for the community

LocoreMind is built on open-source foundations. Contribute models, tools, and integrations. We're expanding support across more hardware targets and agent frameworks continuously.

  • ⊘ Open Model Weights
  • ⊘ Community Plugins

Solutions

LocoreModel powers any agentic AI framework, locally.

GitHub ↗ HuggingFace ↗
Primary Driver

Claude Code

  • →Point Claude Code at your local Ollama endpoint — same powerful agentic experience, zero API cost
  • →LocoreModel handles tool use, file edits, and shell execution natively

OpenClaw

  • →Run a fully general-purpose local agent — browse, execute commands, manage files — powered by LocoreModel
  • →No cloud, no subscription, no limits on what your agent can do

Any OpenAI-Compatible Agent

  • →LocoreModel exposes an OpenAI-compatible API — swap the endpoint, keep your existing agent setup
  • →Works with any agentic tool that supports custom model endpoints

Air-Gapped & Enterprise

  • →Deploy agentic AI in regulated or offline environments where cloud APIs are not an option
  • →Full data sovereignty — your code, your documents, your machine

Works With Your Stack

Plug LocoreModel into the agentic AI tools you already use

Claude Code
Agentic AI Framework

Claude Code

Anthropic's powerful terminal-based agentic AI. Reads your codebase, plans and executes multi-step tasks, runs shell commands. Point it at LocoreModel via Ollama — same experience, fully local.

Claude Code →
OpenClaw
Agentic AI Framework

OpenClaw

General-purpose local AI agent — browses the web, executes commands, manages files, controls your desktop. Pair it with LocoreModel for a fully self-hosted, zero-cost agentic AI setup.

OpenClaw →
Agentic AI Framework

OpenCode & More

Any agentic AI tool with an OpenAI-compatible endpoint works with LocoreModel. OpenCode, Cline, and the growing ecosystem of open-source agentic AI — all running locally on your hardware.

GitHub ↗

Our Team

AI researchers, systems engineers, and open-source contributors

COMPLETE PIPELINE COVERAGE
DATA
→
INFRA
→
PRE-TRAIN
→
MID-TRAIN
→
POST-TRAIN
→
L
AGENT
80+
Team Members
Covering full AI pipeline
70%+
PhD Holders
From top global institutions
100%
Top-Tier Tech
Alibaba, Huawei, Tencent, etc.

Your Agents. Your Machine.

Stop paying to run Claude Code. Run LocoreModel locally and keep everything — your data, your costs, your control.