Add iterative optimization capabilities inspired by Kimi K2.6: thread topology & spin-wait strategies, allocation profiling, cross-function scope, behavioral equivalence verification, Pareto frontier tracking with chart generation, extended session protocol (10-15+ hours), session interruption detection/recovery via hooks, and MCP endpoint visibility so users can follow the profiling pipeline. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
31 lines
936 B
JSON
31 lines
936 B
JSON
{
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"name": "codeflash-agent",
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"version": "0.1.0",
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"description": "Autonomous performance optimization agent for Python and JavaScript/TypeScript.",
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"author": {
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"name": "Codeflash"
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},
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"repository": "https://github.com/codeflash-ai/codeflash-agent",
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"license": "BSL-1.1",
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"keywords": ["optimization", "performance", "profiling", "python", "javascript", "typescript"],
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"mcpServers": {
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"codeflash": {
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"command": "uv",
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"args": ["run", "--directory", "${CLAUDE_PLUGIN_ROOT}/../packages/codeflash-mcp", "codeflash-mcp"]
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},
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"context7": {
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"type": "http",
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"url": "https://mcp.context7.com/mcp",
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"headers": {
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"CONTEXT7_API_KEY": "${CONTEXT7_API_KEY}"
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}
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},
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"github": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-github"],
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"env": {
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"GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_PERSONAL_ACCESS_TOKEN}"
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}
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}
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}
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}
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