Autoperf Ai
Description
Autonomous AI agent performance optimizer — eval, optimize, and measure your AI SDK agents
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Autonomous agent optimization, powered by Claude Code
AutoPerf evaluates your AI agent's cost, quality, and latency, then spawns autonomous Claude Code agents in isolated git worktrees that research optimization strategies, implement changes, and accept or reject based on statistical comparison.
Instead of building a custom agent from scratch, you give Claude Code the right environment — MCP servers, a meta-knowledge library, SDK-aware plugins, performance profiles — and let it figure out what works. The innovation is the environment, not a new agent architecture.
The Approach
Most agent optimization tools build custom AI systems. AutoPerf takes a different path: curate the right _environment_ for Claude Code and let it operate autonomously.
Each iteration agent runs in an isolated git worktree with:
- Context7 — live documentation for Vercel AI SDK, Google ADK, LangChain, and Claude Agent SDK. Current docs, not stale training data.
- Nia — semantic search and deep research across inde
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mem0
| Universal memory layer for AI Agents | 51341 | 221 | 1 |
