plasma-ai/fractal
Hierarchical agent loops with recursive self-organization.
ARCHETYPE
Pragmatist
A balanced, no-drama setup: some rules, some tools, nothing extreme.
Copy this rig
$ git clone --depth 1 https://github.com/plasma-ai/fractal MCP servers are added to Claude Code at local scope; env vars are shown as YOUR_… placeholders — we never store values. Files are fetched with degit into a separate folder so you can review before merging.
$ npx degit plasma-ai/fractal/fractal/_node/skills/fractal .claude/skills/fractal $ npx degit plasma-ai/fractal/fractal/_node/skills/memory .claude/skills/memory $ npx degit plasma-ai/fractal/fractal/_node/skills/radio .claude/skills/radio $ npx degit plasma-ai/fractal/fractal/_node/skills/wiki .claude/skills/wiki
This rig commits no guardrails. Here is the community baseline instead — the deny/ask rules most often found across all 7,204 rigs:
{
"permissions": {
"deny": [
"Read(./.env)",
"Read(**/.env)",
"Read(~/.ssh/**)",
"Bash(rm -rf *)",
"Read(**/*.pem)",
"Bash(rm -rf /)",
"Bash(git push --force:*)",
"Bash(sudo *)",
"Read(.env)",
"Bash(rm -rf /*)",
"Read(./.env.*)",
"Read(~/.aws/**)",
"Bash(git push --force*)",
"Bash(rm -rf:*)",
"Read(**/*.key)",
"Read(**/.env.*)",
"Bash(sudo:*)",
"Bash(git reset --hard*)",
"Bash(git reset --hard:*)",
"Read(.env.*)"
],
"ask": [
"Bash(git push:*)",
"Bash(git push *)",
"Bash(git commit:*)",
"Bash(rm *)",
"Bash(rm:*)",
"Bash(git rebase *)",
"Bash(wget *)",
"Bash(npm publish:*)",
"Bash(git commit *)",
"Bash(gh pr merge *)"
]
}
} Skills (4)
Similar rigs
kitfunso/hippo-memory
Stop re-teaching your agent. Make your agent's memory work like a brain. Hippo is long-term memory for coding agents. It's a critical layer for your AI harness that connects across your different tools (Cursor, Claude Code, Codex). It keeps
Minimalist 1.2k tok ·
plasma-ai/wiki
Indexed knowledge bases with command-line tools for agents.
Pragmatist 5.7k tok ·
ProjectMakersDE/ai-agent-wiki
Template for a wiki that AI coding agents read before they work: routers for Claude Code, Codex, Cursor, Copilot and Gemini, maintained in Obsidian.
Minimalist 290 tok ·
nvk/llm-wiki
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.
Pragmatist 15.1k tok ·