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  • A
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    DCL Trust Oracle is a deterministic AI audit layer, natively integrated with MCP, that evaluates LLM and agent outputs against configurable policies before and after action. Every verdict is written to a tamper-evident, hash-chained audit log storing only cryptographic metadata — never raw content — enabling privacy-first forensic review.
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    Apache 2.0
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    Agentic Hardware-in-the-Loop (Agentic HIL) lets coding agents develop firmware on real embedded boards: flash, reset, read UART and exchange CAN traffic, diagnose and fix. Local, policy-gated MCP tools support OpenOCD, pyOCD and STM32CubeProgrammer, with pytest for CI.
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    890 PyPI
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    Apache 2.0
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    Local-first, cross-agent memory layer for Hermes, OpenClaw, and Claude Code (MCP) behind a single REST API. Hybrid BM25+pgvector+RRF retrieval with optional Qwen3 rerank, a three-stage "dream" consolidation cycle (Light → REM → Deep) that clusters and de-dupes daily memories into durable knowledge with a narrative journal written to Obsidian, and a persistent 6-dimension emotion state machine that
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    MIT
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    Superseded. Earlier version of the DCL product (MCP endpoint at /sse with API key, plus an offline desktop audit trail). Not the current path for agents. Use the hosted DCL Trust Oracle: https://github.com/Fronesis-Labs/dcl-webhook (MCP endpoint https://mcp.fronesislabs.com/mcp, Streamable HTTP, x402 payment, no API key).
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