ai-agent

tensorlake

Tensorlake is a serverless runtime for sandboxes and deploying background agentic applications
1,024 stars+1★ this week150 forksPythonUpdated 10/22/2026100% free · open source
What it does

Tensorlake lets you run Python‑based autonomous agents in a fully managed, server‑less sandbox, so you can focus on the agent logic instead of infrastructure.

When to use it
  • •You need a background worker that continuously polls APIs, processes data, and takes actions without keeping a VM alive.
  • •Your product requires a secure, isolated execution environment for third‑party AI agents (e.g., custom recommendation or compliance bots).
  • •You want to prototype an autonomous workflow and then scale it to production with a single deploy command.
Ready-to-paste prompt
tensorlake deploy my_agent --env prod --schedule 'cron(0 */6 * * *)'  # deploys the agent and runs it every 6 hours
Heads up: Tensorlake requires a valid API key for the Tensorlake cloud platform; set it as `TENSORLAKE_API_KEY` in your environment before running any `tensorlake` command, otherwise the CLI will fail with an authentication error.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/tensorlake && curl -fsSL https://workflowstacks.com/api/skills/tensorlake/claude-skill -o ~/.claude/skills/tensorlake/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How tensorlake works
Codeflow
Free to inspect

Tensorlake is a very large Rust project (~133k lines across 408 code files, plus 243 test files). Setup is light: installs like a normal app — add your API keys. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~133k lines · 408 code files · days to read — use, don't read
Setup
One-command install
Installs like a normal app — add your API keys. Reading the code is optional.
Runs on
Rust · Python
Needs API keys (.env)
Rust 41%Python 39%TypeScript 19%JavaScript 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    Cargo.toml
    Dependencies and the commands it exposes
  4. 4
    .env.example
    The API keys and settings you must provide
  5. 5
    src/tensorlake/__init__.py
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic180 files
docs/Documentation6 files
examples/Examples you can copy3 files
crates/Folder172 files
typescript/Folder154 files
proto/Data models & types3 files
tensorlake.data/Folder2 files
platform/Folder1 files
READMEHas testsDocumentedCI checksExamples includedApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
tensorlakeai
Language
Python
Category
ai-agent
Published
11/15/2024

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