LibreAI / AI Agents / system-prompts-and-models-of-ai-tools
// agents · x1xhlol/system-prompts-and-models-of-ai-tools

system-prompts-and-models-of-ai-tools

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Q…

★ 144.0k stars⑂ 34.8k forksGPL-3.0updated 2026-08
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

system-prompts-and-models-of-ai-tools is an open-source ai agents project by x1xhlol (x1xhlol/system-prompts-and-models-of-ai-tools on GitHub). It has 144,010 GitHub stars and 34,799 forks, is released under the GPL-3.0 license, and was last updated on GitHub on 11 August 2026.

GitHub stars
144,010
Forks
34,799
License
GPL-3.0
Last updated on GitHub
11 August 2026
Category
AI Agents
Listing
Full install guide
Official site
GitHub repo
// how it works

How it works

  1. Define the job

    Research, coding, browsing, or ops — agents work best with a clear goal.

  2. Pick a framework

    From no-code builders to code-first SDKs, match complexity to the task.

  3. Give it tools

    Web search, code execution, and APIs are what make agents useful.

  4. Run and supervise

    Watch the trace, approve consequential actions, iterate.

// features

Why people love it

Self-hosted

Run agents on your infra with your keys.

Model agnostic

Swap frontier models as better ones appear.

Observability

Traces show exactly what the agent did and why.

Human in the loop

Approval gates for actions that matter.

Memory

Long-term memory across sessions, not goldfish chat.

Multi-agent teams

Specialized agents collaborate on bigger jobs.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
    cd system-prompts-and-models-of-ai-tools
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. 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

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// faq

Questions, answered

Who maintains system-prompts-and-models-of-ai-tools?

It is an open-source project at x1xhlol/system-prompts-and-models-of-ai-tools with 34,799 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is system-prompts-and-models-of-ai-tools free for commercial use?

GPL-3.0 — free to use, but derivative works must stay open.

Are agents reliable enough?

For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.

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.

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// alternatives

Alternatives in AI Agents

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Get system-prompts-and-models-of-ai-tools

Free and open — grab the source, star the repo, and start creating.