Zerolinear
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- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
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Code Basarisiz
- rm -rf — Recursive force deletion command in install.sh
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- Permissions — No dangerous permissions requested
Bu listing icin henuz AI raporu yok.
Zerolinear — AI research lab and home of the Zeline open-source agentic AI framework.
— by Zerolinear, an AI research lab.
Zeline
Zeline is an open-source agentic AI framework developed by Zerolinear. It's a flexible foundation for building AI agents that can reason, use tools, interact with external systems, and carry out complex, multi-step workflows.
Rather than being tied to a single model, provider, or infrastructure, Zeline is built around flexibility. Connect your preferred AI models and OpenAI-compatible endpoints, configure providers, integrate tools, and extend the framework to fit how you want your agents to work — models and providers can be swapped without rebuilding the system, keeping the agent architecture portable and adaptable.
Run it locally for development or deploy it to your own server or cloud, and connect it to the interfaces you use. The goal is to keep control in the developer's hands: your models, your tools, your infrastructure, your data. Open-source, model-agnostic, extensible, and developer-first.
Zeline — a Zerolinear project, led by Mftrferdinand.
Features
- Agent core — an OpenAI-compatible agent loop with tool calling, plus an interactive CLI and one-shot queries
- Model-agnostic — works with OpenAI, OpenRouter, vLLM, Ollama, and any OpenAI- or Anthropic-compatible API; swap model or provider without rebuilding
- Persistent memory — long-term memory isolated per platform identity
- Session persistence — conversation history stored in SQLite (
~/.zeline/sessions.db), so it survives gateway restarts - Skills — reusable Markdown procedures loaded on demand
- Messaging gateways — Telegram (long polling, commands, attachments), WhatsApp (Baileys QR pairing), and an authenticated local HTTP webhook
- Built-in tools — web search, web fetch, deep research, HTTP requests, file read/write/edit/search, code execution, and shell
- MCP client — connect external MCP servers (stdio or HTTP) and expose their tools automatically
- Scoped tool profiles — gate access per surface:
safe— memory and public skills only; default for messaging gatewaysworkspace—safeplus files inside the owner workspacefull—workspaceplus shell access; intended for the local owner CLI
Install
Requirements: Python 3.10 or newer. WhatsApp also requires Node.js 18+ and npm.
Termux
pkg install git python -y
curl -fsSL https://raw.githubusercontent.com/Mftrferdinand/Zerolinear/main/install.sh | bash
zeline setup
Linux and macOS
curl -fsSL https://raw.githubusercontent.com/Mftrferdinand/Zerolinear/main/install.sh | bash
zeline setup
To install from a checkout instead:
git clone https://github.com/Mftrferdinand/Zerolinear.git
cd Zerolinear
bash install.sh
Your configuration is stored locally at ~/.zeline/config.json. Run a quick check after setup:
zeline doctor
zeline gateway list
Use the CLI
zeline
# or
zeline chat -q "What can you do?"
Connect a platform
Telegram
Create a bot with @BotFather, then run:
zeline gateway setup telegram
zeline gateway start
An empty allowlist makes the bot public. Public gateways always use the safe tool profile by default, so users cannot access host files or a shell.
Telegram commands:
/start, /help Show command help
/status Show provider and session status
/models Show the active model
/model <provider/model> Persistently switch this installation's model
/new Clear the current chat history
/restart Restart the current Telegram chat session
/stop Stop this Zeline gateway process
/logs Show how to inspect gateway logs from the installation terminal
Attachments up to 256 KB are accepted for text, JSON, CSV, common code/config files, and ZIP archives containing safe text files. Text-based PDFs are extracted with pypdf. Images are accepted as attachment metadata; pixel analysis needs a vision-capable provider.
zeline gateway setup whatsapp
zeline gateway start
On first start, Zeline installs its Baileys bridge under ~/.zeline/wa-bridge/ and prints a QR code. In WhatsApp, open Linked devices, choose Link a device, then scan it.
This gateway uses WhatsApp multi-device through Baileys, not the Meta Business API. Make sure your use complies with WhatsApp policies.
HTTP webhook
zeline gateway enable webhook
zeline gateway start
The default listener is 127.0.0.1:8765. It does not listen on the public internet.
curl http://127.0.0.1:8765/health
curl -X POST http://127.0.0.1:8765/message \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer YOUR_WEBHOOK_TOKEN' \
-d '{"chat_id":"demo-user","text":"Hello Zeline"}'
Show masked configuration with:
zeline config show
If you expose the webhook through a tunnel or reverse proxy, use HTTPS and keep token authentication enabled.
Command reference
zeline Set up a gateway first, then open local chat
zeline chat -q "..." Send one query after gateway + model setup
zeline setup Open the gateway picker (Telegram/WhatsApp/Webhook)
zeline model Detect protocol, fetch models, and choose one
zeline doctor Check dependencies and configuration
zeline config path Print the configuration location
zeline config show Print configuration with masked secrets
zeline gateway setup [name] Configure telegram, whatsapp, or webhook
zeline gateway enable <name> Enable a gateway
zeline gateway disable <name> Disable a gateway
zeline gateway list Show configured gateways
zeline gateway token webhook Explicitly reveal a webhook token
zeline gateway start Run enabled gateways in the background
zeline gateway stop Stop the background gateway process
zeline gateway status Show background gateway status
zeline gateway log Print gateway logs
zeline gateway run Run enabled gateways in the foreground
zeline skills List installed skills
zeline memory Print local CLI memory
On first launch, Zeline requires one gateway selected from an arrow-key picker:
Telegram, WhatsApp, Webhook, or Cancel. It configures only the selected gateway,
returns to the terminal, and directs the user to zeline model; local chat stays
locked until both gateway and model setup are complete.
During model setup, Zeline detects OpenAI-compatible or Anthropic APIs,
queries the provider model endpoint, and shows a numbered picker. Secret input
renders one * per character while the real API key stays hidden. If a provider
cannot list models, Zeline requires an explicit model ID instead of accepting a
placeholder.
Zeline can safely describe its active model, provider URL, protocol, tool profile,
and available tools through runtime_info and the bundled self-analysis skill.
API keys and gateway tokens are never included.
Security
- Keep
~/.zeline/,.env, provider keys, and bot tokens out of Git. - Gateway users receive the
safeprofile by default. - Webhooks require a secret token and bind to loopback by default.
- Memory is namespaced by platform identity, for example
telegram:123orwebhook:alice. - The WhatsApp bridge uses a random runtime token between Python and Node.
- The repository enables secret scanning, push protection, Dependabot, CodeQL, and dependency review.
See SECURITY.md for reporting guidance.
Development
python3 -m unittest discover -s tests -v
python3 -m pip wheel --no-deps --wheel-dir dist .
Roadmap
- PyPI publishing and signed release artifacts
- Service integration for systemd and Termux:Boot
- More messaging adapters
- Scheduled jobs
- Plugin and extension APIs
- Session search and richer interfaces
License
MIT © 2026 Mftrferdinand
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