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SAGE - Smart Agent Guidance Engine

CI Python PyPI npm License

SAGE is a local-first command wrapper for AI coding agents. It keeps full terminal output on your machine, sends agents a clean compressed summary, and tracks proof metrics without uploading your raw logs.

Use it with Claude Code, Codex, Cursor, Windsurf, OpenCode, Cline, custom agents, CI scripts, and normal terminal workflows.

Start Here: Install SAGE, Use once sage run -- python -m pytest, Then Use Any AI Agent

Package installation is passive for package-registry safety. After installing, run sage install once to connect this machine and activate SAGE for supported local AI agents.

PyPI / pip

pip install psycgod-sage
# or
python -m pip install --upgrade psycgod-sage
sage install
sage run -- python -m pytest

npm / npx

npm install -g psycgod-sage
npx -y psycgod-sage install
npx -y psycgod-sage run -- npm test

After install, restart any open AI-agent sessions. New sessions should read the SAGE instructions automatically and route terminal commands through SAGE.

Example prompt after restarting your AI agent:

Please help me with my general book in this folder.

Natural shortcuts also work:

sage pytest
sage npm test
sage git status

These are treated as:

sage run -- pytest
sage run -- npm test
sage run -- git status

What SAGE Does

Step Result
sage install Connects the machine, repairs global/project agent instructions, and verifies activation
sage run -- <command> Runs the command, stores raw output locally, and returns a compact useful summary
Agent memory/hooks Tell supported AI agents to use SAGE for noisy terminal work
Local database Keeps command history, compression proof, and retry context on the user's machine
Optional cloud proof Sends aggregate metrics only when connected proof mode is enabled

SAGE does not auto-enable MCP. MCP is optional and manual for users who want it.

Live Proof

Latest pulled stats as of 2026-08-01:

Metric Value
SAGE telemetry command events 27,892
Tokens processed 799.5M
Tokens saved 783.7M
Compression rate 98.02%
Estimated savings $16,261.90
Command success rate 88.3%
PyPI downloads, last 7 days 632
npm downloads, last 7 days 362
GitHub clones, last 14 days 574

Live dashboard: sage.api.marketingstudios.in/dashboard Install page: sage.api.marketingstudios.in/install

SAGE public proof dashboard

Why It Helps

AI coding agents burn context on repeated logs, failed test output, install noise, stack traces, and build spam. SAGE sits between the command and the agent.

Without SAGE With SAGE
Agent sees full noisy terminal output Agent sees the useful summary
Context disappears fast Context lasts longer
Repeated failures waste tokens Errors are grouped and explained
Raw logs may enter prompts Raw logs stay local
Hard to prove savings SAGE records proof metrics

Distribution

Channel Package Status
PyPI psycgod-sage Canonical Python package
npm / npx psycgod-sage Node launcher for the Python core
MCP Registry io.github.PsYcGoD/sage Optional/manual MCP entry
Glama PsYcGoD/sage Optional/manual hosted MCP listing

The npm package delegates to the Python implementation so both install paths use the same local database, telemetry rules, compression, and command behavior.

Common Commands

sage install                       # Activate this machine and AI-agent instructions
sage doctor --activation           # Verify activation
npx -y psycgod-sage doctor --activation
sage run -- <command>              # Wrap any command
sage run --cwd /project -- <command> # Explicit workspace for host integrations
sage pytest                        # Shortcut for: sage run -- pytest
sage npm test                      # Shortcut for: sage run -- npm test
sage git status                    # Shortcut for: sage run -- git status
sage context stats                 # Token savings summary
sage context report                # Full compression report
sage history --limit 10            # Recent command history
sage explain --failed              # Explain the latest failed command
sage suggest --failed              # Suggest the next fix
sage fix --apply                   # Try an automatic fix
sage ml setup                      # Optional ML V2 dependencies
sage mcp install                   # Optional/manual MCP config
sage dashboard start               # Local dashboard

Privacy Modes

Mode Requires login? Sends data? What leaves the machine?
Local-only No No Nothing
Connected proof Machine auth Yes Aggregate counters and proof metrics
Debug telemetry Optional Opt-in only Redacted diagnostic summaries

SAGE is designed to keep prompts, source code, credentials, raw command output, and project files local unless the user deliberately enables a feature that requires sending data.

Known Limitations

Limitation What To Do
Already-open AI-agent sessions may not reload new instructions Restart Claude/Codex/Cursor/Windsurf/OpenCode after sage install
Locked-down host apps can disable shell tools SAGE cannot enable tools the host application has blocked
A host starts its shell in the wrong folder Pass sage run --cwd <project> -- <command> or set SAGE_WORKSPACE_CWD
npm/PyPI installs cannot safely auto-run activation Run sage install once after package install
MCP can disconnect in some stdio agent sessions Use normal sage run -- <command> by default; enable MCP manually only if needed
Package installs are passive by design Real activation starts with sage install

Demos

Flow Preview
PyPI install PyPI install flow
npm install npm install flow
sage run -- sage run
CLI run SAGE CLI demo

Links

License

MIT. See LICENSE.

About

SAGE — Save AI coding tokens by compressing terminal output, keeping raw logs local, and tracking real savings. 🧠S.A.G.E - Smart Agent Guidance Engine for AI coding assistants. by⚡ PsYc+GoD AI&ML 🤖 | IF YOU DONOT USE SAGE RUN install or PYTEST. SAGE WILL NOT ACTIVATE IN YOUR LOCAL ENVIORMENT.

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