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# Flare AI Kit
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SDK for building **verifiable AI Agents** on Flare using Confidential Space.
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SDK for building **verifiable AI Agents** on Flare using Confidential Space Trusted Execution Environments (TEEs).
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> [!WARNING]
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>
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> Flare AI Kit is currently under active development (pre-release/alpha stage).
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> Flare AI Kit is currently under active development (alpha stage).
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>
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> Interfaces, APIs, and functionalities may change frequently and potentially in backward-incompatible ways before a stable release.
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> Use with caution.
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## ✨ Features
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-**Verifiable Execution**: Run logic in hardware‑isolated TEEs -[GCP Confidential Space TDX](https://cloud.google.com/confidential-computing/confidential-space/docs/confidential-space-overview).
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-**Consensus Engine**: Multi‑agent [Consensus Learning](https://arxiv.org/abs/2402.16157) via [Google Agent2Agent](https://github.com/a2aproject/A2A) protocol.
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-**Strictly‑Typed Agents**: Build with [PydanticAI](https://ai.pydantic.dev) to enforce structured outputs across 200+ LLMs.
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-**Flare Protocol Integration**: [FTSO](https://dev.flare.network/ftso/overview), [FDC](https://dev.flare.network/fdc/overview), [FAssets](https://dev.flare.network/fassets/overview), plus ecosystem dApps like [Sceptre](http://sceptre.fi) and [SparkDEX](https://sparkdex.ai).
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-**Social Intelligence**: Analytics and connectors for X, Telegram, Farcaster.
Contributions are highly encouraged! Please review the [CONTRIBUTING.md](CONTRIBUTING.md) guide for details on code style (Conventional Commits, Strict Typing), testing, and the PR process.
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See [CONTRIBUTING.md](CONTRIBUTING.md).
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We use Conventional Commits, Ruff/Pyright gates, and pytest.
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Please include tests and update docs for any user-visible changes.
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