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Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.

llm-tooling mcp data-engineering

OpenSparX / MasterAgent

Build AI agents that run 100% on-device. Sub-100ms latency on Qualcomm NPU. Zero cloud dependency.

ai-agents llm-tooling embedded

google-deepmind / detectorscope

Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)

ai-agents ml-framework data-science

test-bit-sys / algeria-geo

Algeria's 69 wilayas, 538 dairas and 1,541 communes with Arabic/French search and historical administrative boundaries. Python and TypeScript libraries.

geospatial data-science open-data

darkroomengineering / lenis

Smooth scroll as it should be

frontend ui-components web-framework

OthmanAdi / planning-with-files

Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Install from npm, the Claude Code plugin marketplace, or npx skills. Codex, Cursor, OpenCode, 60+ agents.

ai-agents developer-tools llm-tooling

dicebear / dicebear

DiceBear is an avatar library for designers and developers. 🌍

ui-components design api

ideapacket / voxwright

Offline voice-agent application layer: session core with byte-deterministic replay, spoken-LLM adapters (scripted/replay/loopback-mock), injection-safe function-call grammar, slot grounding, workflow engine with compensation and resume, permissioned tool sandbox, repair-dialog policies, task-success and latency evaluation. NumPy core, torch extra.

ai-agents llm-tooling automation