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Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.
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Latest capture 2026-07-25 03:15
4 captures since 2026-06-10
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Scanned 2026-07-25 03:15
package.json
javascript ecosystem,
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pyproject.toml
python ecosystem,
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requirements-dev.txt
python ecosystem,
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requirements.txt
python ecosystem,
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pnpm-lock.yaml
javascript ecosystem,
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examples/vercel-ai-nextjs/package.json
javascript ecosystem,
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packages/core/package.json
javascript ecosystem,
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packages/langchain-cascadeflow/package.json
javascript ecosystem,
0 dependencies
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Build, run and scale AI agents like API and microservices
"OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!"
Semi-Structured Agentic Framework. Workflows build themselves as agents discover what needs to be done, not what you predicted upfront.
🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
The agent that grows with you
Open-source LLM router & AI cost optimizer. Routes simple prompts to cheap/local models, complex ones to premium — automatically. Drop-in OpenAI-compatible proxy for Claude Code, Codex, Cursor, OpenClaw. Saves 40-70% on AI API costs. Self-hosted, no middleman.
https://cascadeflow.ai
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