github.devotd.

CURATED OPEN SOURCE INTELLIGENCE

プロジェクト

niko1221/strata

Qwen3.8-Flash-Next on any consumer hardware: one-click install for Windows / Linux. Strata inference engine, OpenAI/Anthropic API on localhost, optional image input.

★ 26.7KC++2 投稿
推論・サービング

graphify-labs/graphify

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

★ 127.5KPython1 投稿
RAG・検索

thedotmack/claude-mem

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

★ 101.3KTypeScript1 投稿
AIエージェント

infiniflow/ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

★ 92.4KGo1 投稿
RAG・検索

unclecode/crawl4ai

Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.

★ 85.7KPython1 投稿
開発ツール

nandhakishorm/laya

Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.

★ 33.2KPython1 投稿
推論・サービング

nvidia/nemoclaw

Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference

★ 22.8KTypeScript1 投稿
AIエージェント

magnitudedev/magnitude

Open source inference engine that tunes its kernels on your hardware to find the fastest way to run each model. 2x faster than Ollama. Works on Apple Silicon, NVIDIA, AMD, or just a CPU.

★ 7KRust1 投稿
推論・サービング

arahim3/digup

Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.

★ 4.5KSwift1 投稿
マルチモーダル

tigerless-labs/agent-memory

Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.

★ 4.1KPython1 投稿
AIエージェント

pipelab-org/pipelock

Open-source AI agent firewall for MCP security and agent egress. Scans mediated HTTP, MCP, A2A, and WebSocket traffic for exfiltration, SSRF, and prompt injection, and emits mediator-signed action receipts: verifiable audit evidence from outside the agent.

★ 933Go1 投稿
セキュリティ

sno-ai/sno-station

Turn the agents you already use into a squad. Codex, Claude Code, Cursor, Hermes Agent and OpenClaw use one encrypted memory, pass work to each other, review each other's work, and dream every night to wake up a little better. Open source. Runs on your computer.

★ 760TypeScript1 投稿
コーディングエージェント

fesens/opentpu

An open-source AI accelerator, developed by AI: RTL, ISA, simulator, compiler and profiler in one repo. Runs Qwen3, LFM2.5 and Qwen3.5 on a Kintex-7 PCIe card.

★ 757Verilog1 投稿
LLMインフラ

scaleapi/agentenv-framework

Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.

★ 319Python1 投稿
評価

ashishsinha1602/schemagate

Text-to-SQL access control: schema selection that gives the LLM only the tables the caller is allowed to read. Row-level-security-aware table pruning for LangChain, MCP and any SQL agent. Postgres, Oracle, MySQL, SQL Server. 75% fewer prompt tokens.

★ 104Python1 投稿
セキュリティ

cranebeaker/coop-anything

Co-op Anything: point your AI agent at any single-player game and play it with friends (online and/or splitscreen!). MCP server and playbook to let you reverse engineer, fix, test, ship and share what it learns.

★ 99Python1 投稿
AIエージェント

l-forster/open-jet

An offline coding agent for local models. One command sets up the best model your GPU can run, and on 24 GB+ RTX 30/40/50-series cards Qwen3.8-27B runs up to 1.9x faster than llama.cpp.

★ 96Python1 投稿
推論・サービング

100yenadmin/hermes-teammates

Named subagent teammates for Hermes Agent: an operator-defined roster, context-carried follow-ups, live steering and a Kanban teammates lane. Stock Hermes; no patched core.

★ 79Python1 投稿
AIエージェント

indras-mirror/xolotl

Xolotl (formerly Strata-DSV4.1): DeepSeek-V4.1-Flash, all 552B, on one gaming PC (RTX 4090 + 90 GB RAM) at ~27 tok/s, plus GLM-5.3-Flash, Qwen3.8-Flash-Next and Qwen3.8-27B. A heavily extended fork of Strata: MoE experts tiered across VRAM, pinned RAM and NVMe; OpenAI + Anthropic API.

★ 32C++1 投稿
推論・サービング

cmu-l3/reuf2f

ReuF2F: Benchmarking coding agents on formalized undergraduate research problems

★ 8Lean1 投稿
評価

srkrz23/vramkit

Lossless-verified VRAM compression for LLM inference: a weight codec (-27% mean / -33% best vs 4-bit on real Qwen weights, beats zstd, lossless) + drop-in PyTorch KV-cache compression (int8 ~2x near-lossless, outlier-aware int4 at cos-sim 0.999). ROCm/CUDA/MPS/CPU.

★ 1Python1 投稿
推論・サービング