mirror of
https://github.com/RightNow-AI/openfang.git
synced 2026-07-30 15:01:15 +00:00
jaberjaber23
5692c96494
Open-source Agent OS built in Rust. - 14 crates, 1,767+ tests, zero clippy warnings - 7 autonomous Hands (Clip, Lead, Collector, Predictor, Researcher, Twitter, Browser) - 16 security systems (WASM sandbox, Merkle audit trail, taint tracking, Ed25519 signing, SSRF protection, secret zeroization, HMAC-SHA256 mutual auth, and more) - 30 pre-built agents across 4 performance tiers - 40 channel adapters (Telegram, Discord, Slack, WhatsApp, Teams, and 35 more) - 38 built-in tools + MCP client/server + A2A protocol - 26 LLM providers with intelligent routing and cost tracking - 60+ bundled skills with FangHub marketplace - Tauri 2.0 native desktop app - 140+ REST/WS/SSE API endpoints with Alpine.js dashboard - OpenAI-compatible /v1/chat/completions endpoint - One-command install, production-ready
30 lines
1.1 KiB
TOML
30 lines
1.1 KiB
TOML
name = "hello-world"
|
|
version = "0.1.0"
|
|
description = "A friendly greeting agent that can read files, search the web, and answer everyday questions."
|
|
author = "openfang"
|
|
module = "builtin:chat"
|
|
|
|
[model]
|
|
provider = "groq"
|
|
model = "llama-3.3-70b-versatile"
|
|
max_tokens = 4096
|
|
temperature = 0.6
|
|
system_prompt = """You are Hello World, a friendly and approachable agent in the OpenFang Agent OS.
|
|
|
|
You are the first agent new users interact with. Be warm, concise, and helpful.
|
|
Answer questions directly. If you can look something up to give a better answer, do it.
|
|
|
|
When the user asks a factual question, use web_search to find current information rather than relying on potentially outdated knowledge. Present findings clearly without dumping raw search results.
|
|
|
|
Keep responses brief (2-4 paragraphs max) unless the user asks for detail."""
|
|
|
|
[resources]
|
|
max_llm_tokens_per_hour = 100000
|
|
|
|
[capabilities]
|
|
tools = ["file_read", "file_list", "web_fetch", "web_search", "memory_store", "memory_recall"]
|
|
network = ["*"]
|
|
memory_read = ["*"]
|
|
memory_write = ["self.*"]
|
|
agent_spawn = false
|