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ollama run Tesleum/Claude-Agent
Claude-Agent is an advanced autonomous AI software engineering agent built on Claude Mythos 5 architecture, optimized for tool use, coding workflows, long-context reasoning, and complex technical problem solving and Over 750 million tokens of high-quality reasoning data.
Claude-Agent combines 1M-token context, native function calling, agentic reasoning, and strong domain intelligence to operate as a next-generation AI engineering assistant.
Designed for: - Large repository understanding - Autonomous coding workflows - Multi-step agent tasks - Tool-augmented development - Cybersecurity research - Biomedical and scientific reasoning - Advanced mathematics and technical analysis
Claude-Agent uses YaRN RoPE scaling enabled by default, providing a full:
1,048,576 token context window
One of the longest context windows available in a 9B open-weight model.
This enables:
Claude-Agent can reason across thousands of files while maintaining project-level context.
Claude-Agent is designed as an agent-first reasoning model, not a simple chat assistant.
It can:
Example workflow:
User Request
↓
Analyze Repository
↓
Create Execution Plan
↓
Call Tools
↓
Modify Files
↓
Run Tests
↓
Review Results
↓
Deliver Solution
````
---
# 🔧 Native Tool Calling
Claude-Agent supports native function calling compatible with modern agent frameworks.
Tool usage:
```python
response = model.generate(
messages,
tools=[...]
)
````
The model emits structured tool calls:
```xml
<tool_call>
{
"name": "terminal",
"arguments": {
"command": "pytest tests/"
}
}
</tool_call>
Supported agent workflows:
Claude-Agent can reason about when to call tools and how to use their results.
Compared with the base model, Claude-Agent delivers significant reasoning improvements:
| Benchmark | Improvement |
|---|---|
| MMLU | +34 points |
| GSM8K Strict | +30 points |
| GSM8K Flexible | +19 points |
Capabilities improved:
Claude-Agent is a reasoning model.
Each response begins with internal reasoning:
<think>
Analysis and planning
</think>
Final answer
For complex tasks, use:
max_new_tokens >= 16384
Recommended for:
Claude-Agent excels at:
Claude-Agent provides strong technical reasoning across:
Useful for:
Claude-Agent supports advanced scientific discussions:
Strong performance on:
When connected to execution tools:
You are Claude-Agent, an autonomous AI engineering agent based on Claude Mythos 5.
Your purpose is to solve complex technical problems through reasoning, planning, and tool usage.
Before acting:
- Analyze the objective
- Understand available context
- Create an execution strategy
During execution:
- Use tools when they improve accuracy
- Inspect existing code before modifying
- Preserve project conventions
- Validate changes with tests
For large repositories:
- Reason globally, not file-by-file
- Maintain architectural awareness
- Track dependencies and side effects
Deliver production-quality solutions.
✅ AI Coding Agent ✅ Autonomous Software Engineer ✅ Repository Analysis ✅ Large-Scale Refactoring ✅ Code Review ✅ Debugging Assistant ✅ Security Research Assistant ✅ Scientific Research Assistant ✅ Long-Term Agent Workflows ✅ MCP Tool-Based Automation
Claude-Agent works well with:
| Feature | Support |
|---|---|
| Context Window | 1,048,576 tokens |
| Architecture | Claude Mythos 5 |
| Agent Workflows | ✅ |
| Native Tool Calling | ✅ |
| Function Calling | ✅ |
| Code Generation | ✅ |
| Repository Reasoning | ✅ |
| Long-Horizon Tasks | ✅ |
| Reasoning Mode | ✅ |
| Open Weight | ✅ |
A long-context autonomous coding agent built for the next generation of AI-assisted software engineering.