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GitHub
AI Video·2026
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FireRed-OpenStoryline

FireRedTeam

Turns natural-language directions into end-to-end video editing workflows: LLM-powered planning, media search/organization, ASR rough-cut, and reusable Style Skills for consistent storytelling. Integrates agent Skills (OpenClaw/Claude Code) and optional AIGC transitions.

#ai-video#agent-skills#mcp-server#python#docker+3
GitHub
MCP Client·2026
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Claude SEO

Agrici Daniel

Runs automated, parallel SEO audits inside Claude Code and emits prioritized, testable action plans across technical SEO, content quality (E‑E‑A‑T), Schema.org markup, AI-search (GEO/AEO), local and e-commerce SEO. Operates with 25 sub-skills and 18 specialist agents; optional MCP extensions add live data.

#claude-code#claude#agent-skills#plugin#mcp+4
GitHub
AI Agent·2026
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memsearch

Zilliz

Provides cross-platform semantic memory for AI coding agents by turning human-editable Markdown logs into a rebuildable Milvus “shadow” index and syncing memories across plugins (Claude Code, OpenClaw, OpenCode, Codex). Supports progressive retrieval, hybrid dense+BM25+RRF search, smart deduplication, live sync, and local ONNX embeddings.

#ai-agent#agent-skills#embeddings#RAG#python+5
GitHub
AI Infra·2026
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LiteParse

run-llama (LlamaIndex)

A fast, local document parser that extracts spatial text with bounding boxes from PDFs and other formats. Bundles Tesseract OCR and supports HTTP OCR servers, multi-language bindings (Rust, Node, Python, WASM) and screenshot generation; best for lightweight local pipelines but less suited to very complex or heavily scanned documents.

#ocr#rust#python#nodejs#cli+3
GitHub
MCP Server·2026
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jcodemunch-mcp

J. Gravelle·jCodeMunch

Provides a local MCP server that returns precise, symbol-level code (functions, classes, imports) via tree-sitter parsing so AI agents send only the bytes they need—commonly cutting code-reading token usage 95%+ and enabling compact packed responses for further savings.

#mcp-server#mcp#retrieval#code#ai-coding+5
GitHub
AI Agent·2026
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Ouroboros

Anton Razzhigaev, Andrew Kaznacheev

Runs a persistent, self-modifying AI agent locally with durable identity, memory, and versioned history across tasks. Provides native desktop and headless CLI runtimes, coordinated subagent swarms, configurable remote or local GGUF models, and reviewed self-evolution via Git.

#ai-agent#agent-skills#cli#python#github+1
GitHub
AI Agent·2026
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Claude Ads

AgriciDaniel (GitHub), AI Marketing Hub

Turns authorized ad-account exports or reads into dated, source-grounded audits, channel and budget plans, creative briefs, experiments, monitoring, and versioned JSON reports. Read-only by default; supports twelve ad platforms and drafts safe account changes behind capability, verification, and rollback gates.

#agent-skills#claude-code#claude#ai-workflow#ai-tools+3
Hugging Face
AI Dataset·2026
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Crownelius/Opus-4.6-Reasoning-3300x

Crownelius

Cleaned reasoning dataset of problem→thinking→solution triplets derived from Opus 4.6, provided in Parquet with ~2,160 cleaned rows (original 3,305). Filters remove empty/short/refusal/non‑substantive responses; hosted on Hugging Face under Apache‑2.0.

#huggingface#nlp#llm#prompt-engineering#python
GitHub
AI Deploy·2026
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oMLX

Jun Kim (jundot)

Local LLM inference server for Apple Silicon that exposes an OpenAI-compatible API and a macOS menubar app. Uses continuous batching and a two-tier KV cache (RAM + SSD in safetensors) to persist context across restarts, enabling practical multi-model serving and fast local coding workflows.

#mlops#ai-inference#ai-serving#llm#mcp+6
GitHub
AI Infra·2026
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forge

Antoine Zambelli

Provides a reliability layer for self-hosted LLM tool-calling and multi-step agent workflows. Adds guardrails — rescue parsing, response validation, retry nudges, and a synthetic respond tool — and ships a Drop-in OpenAI-compatible proxy plus a WorkflowRunner for structured loops.

#llm#ai-workflow#ai-inference#ai-serving#ai-deploy+5
GitHub
AI Client·2026
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Horizon

Thysrael

Aggregates and deduplicates stories from Hacker News, Reddit, RSS, Telegram, GitHub and more, then uses LLMs to score, enrich, and produce bilingual (EN/CN) daily briefings. Supports customizable sources, comment summarization, multi-provider scoring, and delivery via GitHub Pages, email, or webhooks — designed for self-hosted, configurable news digests.

#github#python#llm#mcp#mcp-server+3
GitHub
AI Infra·2026
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CloakBrowser

CloakHQ

A Chromium binary patched at the C++ level to evade bot-detection and serve as a drop-in Playwright/Puppeteer replacement. Notable features: source-level fingerprint patches, human-like input emulation, auto-updating binaries, and integrations for Python/Node.js and Docker — useful for scraping, agent-driven browsing, and stealth automation.

#github#python#nodejs#docker#privacy+3
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