AI Agents
LocalAI
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
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View guide →// agents · darrenhinde/OpenAgentsControl
OpenAgentsControl
OpenAgentsControl is an open-source ai agents project by darrenhinde (darrenhinde/OpenAgentsControl on GitHub). It has 4,887 GitHub stars and 403 forks, is released under the MIT license, and was last updated on GitHub on 13 September 2026.
AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic t…
★ 4.9k stars⑂ 403 forksMITupdated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- darrenhinde/OpenAgentsControl
- GitHub stars
- 4,887
- Forks
- 403
- License
- MIT
- Last updated on GitHub
- 13 September 2026
- Category
- AI Agents
- Listing
- Full install guide
- Official site
- GitHub repo
// how it works
How it works
- Define the job
Research, coding, browsing, or ops — agents work best with a clear goal.
- Pick a framework
From no-code builders to code-first SDKs, match complexity to the task.
- Give it tools
Web search, code execution, and APIs are what make agents useful.
- Run and supervise
Watch the trace, approve consequential actions, iterate.
// features
Why people love it
Automation-ready
Designed to run unattended: triggers, schedules, and webhooks.
Multi-agent teams
Specialized agents collaborate on bigger jobs.
Tool use
Agents call real tools: browsers, terminals, APIs.
Evaluations
Benchmarks keep agent quality measurable.
Self-hosted
Run agents on your infra with your keys.
Model agnostic
Swap frontier models as better ones appear.
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// run it
Run it yourself
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/darrenhinde/OpenAgentsControl.git cd OpenAgentsControl - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// use cases
What you can build
- Automate deep research tasks.
- Let agents write and test code.
- Build support bots that actually act.
- Orchestrate multi-step business ops.
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// faq
Questions, answered
Who maintains OpenAgentsControl?
It is an open-source project at darrenhinde/OpenAgentsControl with 403 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Is OpenAgentsControl free for commercial use?
MIT licensed — use it commercially, no strings attached.
How do I keep them safe?
Sandboxing, approval gates, and least-privilege credentials.
Do I need to code?
Builders exist, but code-first frameworks go further.
What does it cost to run?
Model API bills dominate; self-hosted stacks cut that sharply.
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Get OpenAgentsControl
Free and open — grab the source, star the repo, and start creating.