synth-laboratories

synth-laboratories / Horizons

Public

Open Source Agent Execution

www.usesynth.ai
74
5
100% credibility
Found Feb 07, 2026 at 40 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Horizons is a self-hostable platform for defining AI agents with tools, running them in secure sandboxes, governing actions via approvals, and orchestrating workflows with events and graphs.

How It Works

1
🔍 Discover Horizons

You find this easy-to-use platform for creating smart agents that work safely on your own computer.

2
🚀 Start in seconds

Run a simple command to launch everything locally with your own secure storage.

3
🤖 Build your first agent

Describe what your agent should do, connect safe tools, and set simple rules for its actions.

4
🔒 Add secure connections

Link your services like email or databases using private passwords that stay hidden.

5
▶️ Run and watch

Start your agent and see it think step-by-step in a safe isolated space.

6
✅ Review and approve

Check proposed actions and give the okay for important steps.

🎉 Agents working for you

Your smart helpers run automatically, staying secure and following your rules, saving you time every day.

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Star Growth

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AI-Generated Review

What is Horizons?

Horizons is a self-hostable agent execution environment built in Rust, letting you define AI agents with tools, run them in isolated sandboxes via Docker or Daytona, and govern actions through auto/AI/human approvals with full audit logs. It handles event-driven orchestration, data ingestion via context refresh connectors, and DAG workflows with built-in verifiers—all backed by Postgres/Redis and exposed via REST API with SDKs in Rust, Python, and TypeScript. Users get a production-ready platform that manages agent execution terminated due to error, timeouts, or model provider overload, with quick recovery like "please try again later."

Why is it gaining traction?

It stands out as an open agent execution framework with native MCP gateway for stdio/HTTP tools, per-org secrets injection, and multi-tenant isolation out of the box—no config tweaks needed. Devs love the one-command Docker/brew quickstart, Helm charts for Kubernetes, and CLI for migrations/API keys, plus resilient event bus with retries/DLQ. Early adopters build on it for GitHub Copilot integrations and cosmic horizons-style agent repos, dodging vendor limits on agent GitHub actions or overloads.

Who should use this?

AI platform engineers orchestrating agent workflows with governance needs, like approval-gated actions in Jira/LinkedIn connectors. Teams self-hosting agent execution for distant horizons GitHub projects, avoiding managed services. Devs prototyping agent GitHub Copilot Reddit-style bots or OpenAI agents with sandboxed runs and context refresh.

Verdict

Solid foundation for an agent execution framework—quickstart shines, docs/API are crisp, Helm deploys cleanly—but at 66 stars and 1.0% credibility, it's v0.1 early days with light testing visibility. Grab for PoCs if you need self-hosted agent control; monitor for prod hardening.

(198 words)

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