Systems
Featured matches
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Trust scores, cryptographic proof, and risk assessment for AI agents.Open
- Trust Score™: Bond-rating-style scores (AAA–CCC) for every AI agent, computed from five weighted signals: integrity, compliance, drift, trace quality, and coherence - Zero-knowledge proofs: Every agent action gets a cryptographic attestation chain — Ed25519 signatures, SHA-256 hash chains, Merkle trees, SP1 STARK proofs - Team risk engine: CoVaR, Markowitz portfolio theory, and DebtRank applied to multi-agent fleets — know which agent is dragging quality down - Real-time containment: Pause, kill, or resume agents automatically when trust drops below threshold Smoltbot gateway: One environment variable, zero code changes — supports Anthropic, OpenAI, and Gemini - Open protocols: AAP (behavioral contracts) and AIP (runtime analysis) on npm and PyPI -
Enterprise-grade open-source AI inference at unlimited scale.Open

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Ezzaky Ab.🛠️ 12 tools 🙏 78 karmaDec 9, 2025@Translation-API.comWe're LIVE :) -

Verified tools
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Memoripy is a GAMECHANGER. I see why it has so many stars on GitHub- we use it for all of our agents to ensure they are context aware! Great job 👏
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Wispr Flow-Now on Android!🎤 Dictation
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Similarity search works okay, but UX could be improved — it's hard to tell when a search was completed. Also there are some minor mistakes in BPM assignation. But overall works as expected and helps finding similar tracks.
Other tools
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Extremely excited about this project and all the possibilities that follow!
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Claude — v4.6Claude Sonnet 5 Release and access: ships as claude-sonnet-5-20260203, available via Anthropic API, Claude Pro, and Google Vertex AI. Coding benchmark jump: posts 82.1% SWE-Bench Verified, positioned above Claude Opus 4.5 at 80.9%. Pricing reset: priced at $3 per 1M input tokens and $15 per 1M output tokens, framed as a major cost drop vs Opus 4.5. Massive context: 1,000,000-token context window for repository-level understanding, whole-codebase prompts, and large refactors without chunking. Agentic engineering stack: built for multi-step workflows with built-in code execution and self-correction, plus a “Dev Team” mode that spawns parallel sub-agents for implementation, testing, and review.
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