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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 2026-06-10 10:50
1 capture since 2026-06-10
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Scanned 2026-06-10 10:50
package.json
javascript ecosystem,
2 dependencies
pyproject.toml
python ecosystem,
32 dependencies
requirements-dev.txt
python ecosystem,
28 dependencies
requirements.txt
python ecosystem,
3 dependencies
pnpm-lock.yaml
javascript ecosystem,
658 dependencies
examples/vercel-ai-nextjs/package.json
javascript ecosystem,
9 dependencies
packages/core/package.json
javascript ecosystem,
18 dependencies
packages/langchain-cascadeflow/package.json
javascript ecosystem,
16 dependencies
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From a goal to a task DAG, automatically. TypeScript-native multi-agent orchestration.
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
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.
"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.