I built a "context OS" that stops AI agents from drowning in your codebase

Rohith Matam — Wed, 01 Jul 2026 03:44:37 +0000

The problem every AI coding session hits

You open Claude or Copilot, paste in your task, and immediately hit the wall: the codebase is too big. You either:

Dump everything and burn 80% of your context window on irrelevant files
Hand-pick files and miss the one import that breaks everything
Pay for a bigger context window and repeat the problem at scale

I got tired of this and built ContextOS — a local CLI that acts as an intelligent context layer between your repo and your AI agent.

What it does

pip install rm-contextos
cd your-project
contextos scan
contextos pack --task "add rate limiting to the auth endpoint" --budget 8000

Output: a Markdown (or JSON) context pack with only the files that matter for that task — ranked by keyword match, import graph centrality, AST symbol overlap, and git churn. Secrets redacted automatically.

Token savings report on every pack:

Packed 12 files · ~6,840 tokens · saved ~47,200 tokens (87%) vs full repo

How ranking works

Five signals combine into a score per file:

Signal	What it catches
Keyword match	Files whose content/name overlap with your task
Import graph centrality	Files that everything else imports (critical shared modules)
AST symbol overlap	Function/class names, not just grep strings
Git churn score	Recently modified files are probably active code
Secret penalty	Credential files silently excluded

No LLM calls. No cloud. Fully offline.

MCP server (for Claude Desktop / Claude Code)

pip install "rm-contextos[mcp]"
contextos serve --stdio

Register in claude_desktop_config.json and your AI agent can call pack_context, scan_repo, list_files, get_file, churn_report directly as tools — no CLI needed.

What's shipped

980 tests, 96% coverage
Apache-2.0, no telemetry, no accounts
Python 3.11–3.13, Linux + macOS
Export formats: Claude, Codex, Cursor, Aider, JSON
Incremental scan cache — re-scans only changed files

pip install rm-contextos
pip install "rm-contextos[mcp]"   # + MCP server
pip install "rm-contextos[all]"   # everything

GitHub: https://github.com/Rohithmatham12/ContextOS
Docs: https://Rohithmatham12.github.io/ContextOS/