Agentforge

AgentForge

> Bikin AI agent production-ready dalam 60 detik. > Input deskripsi → output system prompt + tool definitions + test cases. Export ke Cursor, Hermes Agent, MCP, ChatGPT GPT, OpenAI Functions, Anthropic Tools.

[](https://agentforge.kleinnn.my.id) [](LICENSE) [](https://aistudio.xiaomimimo.com)

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Why

The hardest part of building agents isn't the framework — it's the spec. A shallow system prompt loses to a well-structured one by 40-60% on real benchmarks. Most builders skip this step because writing rigorous prompts + tool schemas takes hours.

AgentForge does it in 60 seconds. Powered by Xiaomi MiMo V2.5 (reasoning + structured-output flagship), it converts a 1-3 sentence description into:

• ✅ System prompt — production-ready (400-1500 words), role + behavior + constraints + output format + edge case handling + anti-hallucination clauses
• ✅ Tool definitions — OpenAI/Anthropic/MCP-compatible JSON Schema, only the tools that make sense for the agent
• ✅ Test cases — 4-8 input/expected-behavior pairs covering happy path + edge cases + adversarial inputs
• ✅ Multi-format export — Cursor Rules, Hermes Skill, MCP Server boilerplate (TypeScript), Claude Code prompt, ChatGPT custom GPT, OpenAI Functions JSON, Anthropic Tools JSON

Live demo

👉 agentforge.kleinnn.my.id

Try the presets (Customer Service Bot, Code Reviewer, Trading Sniffer, Hermes Skill Maker, ...) or describe your own agent in plain Indonesian/English.

Stack

• Frontend: Next.js 14 (App Router) + Tailwind CSS + TypeScript
• Reasoning model: Xiaomi MiMo V2.5 Pro (configurable via env)
• API: OpenAI-compatible streaming chat completions
• Deploy: Vercel Edge Runtime (60s max duration)
• Storage: localStorage (no DB, no auth, fully client-side state)

Quickstart (local dev)

Requires Node.js 18+.

git clone https://github.com/agentforge-dev/agentforge.git
cd agentforge
npm install

# Configure model provider (any OpenAI-compatible endpoint works)
cat > .env.local 
  - suggestion: 
  - confidence: 0.0-1.0

Security focus: SQL injection (parameterized queries), XSS (escaping/sanitization),
SSRF, path traversal, hardcoded secrets, unsafe deserialization, ...

## Tools

- `read_file(path: string)` — fetch file content for context
- `run_static_analysis(path: string, lang: 'py'|'ts')` — invoke ruff/eslint
- `git_blame(path: string, line: number)` — see who introduced the line

## Test cases

1. Input: `` → flag as critical SQL injection
2. Input: `` → empty findings array
3. Input: `` → flag as high security
...

AI tools used to build AgentForge

This project itself was built using AI agent tooling — the same workflow AgentForge optimizes:

• Hermes Agent — workflow orchestration (skills, terminal, file ops)
• Claude Code (Sonnet 4.7) — TypeScript / React authoring
• 9router — local OpenAI-compatible LLM proxy for dev
• MiMo V2.5 — runtime spec generation (will become primary post-grant)
• Cursor — fine-grained code edits
• Vercel — preview deployments
• Tailwind CSS + shadcn/ui patterns — UI

Roadmap

• [x] Multi-format export
• [x] Streaming generation UX
• [x] Live demo on Vercel
• [ ] Spec versioning + diff viewer (git-style)
• [ ] Auto-evaluator: run testCases against spec on N models, score
• [ ] Multi-agent compositions (orchestrator + workers as a graph)
• [ ] 1-click deploy: spec → Cloudflare Worker / Vercel function
• [ ] Skill marketplace: share + remix specs (community CC0/MIT)

License

MIT — see [LICENSE](LICENSE)

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Built with ❤️ by Klein · powered by Xiaomi MiMo V2.5

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Khimsaja
• Source: Khimsaja/agentforge
• License: MIT
• Homepage: https://agentforge-five-gamma.vercel.app

Install and usage instructions live in the source repository linked above.