ZipengWu365/TOMC
TOMC Memory: CPU context compression and task memory for Codex, Claude Code, Cursor, TRAE, WorkBuddy and other MCP clients.
- Stars
- 263
- Forks
- 24
- Open issues
- 1
- Last push
- 1d ago
TOMC star history
+151 this week
About TOMC
TOMC is a free, open-source AI coding tool by ZipengWu365, written mainly in Python. TOMC Memory: CPU context compression and task memory for Codex, Claude Code, Cursor, TRAE, WorkBuddy and other MCP clients. It has 263 GitHub stars and 24 forks, and was last updated 1d ago. It's released under the MIT license, a standard open-source license. According to the project, it runs on a regular CPU without a GPU.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 263
- Last update
- 1d ago
- Runs on Mac
- Not stated
- GPU
- Not needed (runs on CPU)
- Paid API key
- Not stated
- Self-hostable
- Not stated
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TOMC FAQ
Can I use TOMC commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is TOMC free?
Yes. TOMC is open source and free to use. It's released under the MIT license, a standard open-source license.
Does TOMC run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does TOMC need a GPU?
No. According to the project, TOMC runs on a regular CPU.
Is TOMC still maintained?
Yes. It was last updated 1d ago and has 1 open issues on GitHub.
What are alternatives to TOMC?
Similar free, open-source tools include claude-mem, claude-skills, Understand-Anything, OmniRoute.
Maintain TOMC?
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