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 PYTEST. SAGE WILL NOT ACTIVATE IN YOUR LOCAL ENVIORMENT.
git clone https://github.com/PsYcGoD/sage && cp sage/*.md ~/.claude/agents/Resumen de Subagents
# SAGE - Smart Agent Guidance Engine <!-- mcp-name: io.github.PsYcGoD/sage --> [](https://github.com/PsYcGoD/sage/actions/workflows/ci.yml) [](https://github.com/PsYcGoD/sage/blob/main/pyproject.toml) [](https://pypi.org/project/psycgod-sage/) [](https://www.npmjs.com/package/psycgod-sage) [](https://github.com/PsYcGoD/sage/blob/main/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 ```powershell pip install psycgod-sage # or python -m pip install --upgrade psycgod-sage sage install sage run -- python -m pytest ``` ### npm / npx ```bash 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: ```text Please help me with my general book in this folder. ``` Natural shortcuts also work: ```bash sage pytest sage npm test sage git status ``` These are treated as: ```bash 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](https://sage.api.marketingstudios.in/dashboard) Install page: [sage.api.marketingstudios.in/install](https://sage.api.marketingstudios.in/install)  ## 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`](https://pypi.org/project/psycgod-sage/) | Canonical Python package | | npm / npx | [`psycgod-sage`](https://www.npmjs.com/package/psycgod-sage) | Node launcher for the Python core | | MCP Registry | `io.github.PsYcGoD/sage` | Optional/manual MCP entry | | Glama | [`PsYcGoD/sage`](https://glama.ai/mcp/servers/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 ```bash 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 |  | | npm install |  | | `sage run --` |  | | CLI run |  | ## Links - Landing: [sage.api.marketingstudios.in](https://sage.api.marketingstudios.in/) - Dashboard: [sage.api.marketingstudios.in/dashboard](https://sage.api.marketingstudios.in/dashboard) - Install guide: [sage.api.marketingstudios.in/install](https://sage.api.marketingstudios.in/install) - PyPI: [pypi.org/project/psycgod-sage](https://pypi.org/project/psycgod-sage/) - npm: [npmjs.com/package/psycgod-sage](https://www.npmjs.com/package/psycgod-sage) ## License MIT. See [LICENSE](LICENSE).
Lo que la gente pregunta sobre sage
¿Qué es PsYcGoD/sage?
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PsYcGoD/sage es subagents para el ecosistema de Claude AI. 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 PYTEST. SAGE WILL NOT ACTIVATE IN YOUR LOCAL ENVIORMENT. Tiene 10 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala sage?
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Puedes instalar sage clonando el repositorio (https://github.com/PsYcGoD/sage) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar PsYcGoD/sage?
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PsYcGoD/sage aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.
¿Quién mantiene PsYcGoD/sage?
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PsYcGoD/sage es mantenido por PsYcGoD. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a sage?
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Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
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