-
browser-skills
The missing content layer for agentskills.io: 15 reusable, agent-agnostic recipes + MCP server so browser-using AI agents stop re-discovering cookie banners, infinite scroll, and calendar widgets every session.
Python ★ 8 2mo agoExplain → -
obsidian_mcp
MCP server + 7 Claude skills for Obsidian vaults — read, search, write, and link notes from Claude / Cursor / ChatGPT. Filesystem-direct, local-first, round-trip safe.
Python ★ 8 1mo agoExplain → -
see-the-ai-think
Watch an LLM think. Interactive interpretability tool that visualizes sparse-autoencoder features firing live across every token. Runs on your laptop. No GPU required.
Python ★ 7 1mo agoExplain → -
awesome-llm-theory
No description.
Python ★ 7 1mo agoExplain → -
agent-backtest-lab
Statistical-rigor audit harness for LLM trading-agent frameworks: leakage firewall, multiple-testing correction (DSR/PSR/SPA), backtest-overfitting probability, calibration, and reward-hacking detection, with honest, net-of-cost scorecards.
Python ★ 6 1mo agoExplain → -
whisper_agent
Hands-free local voice agent: faster-whisper STT, local LLM with tool use, TTS. Runs entirely on your machine.
Python ★ 6 2mo agoExplain → -
agent-memory
Verifiable memory for LLM agents — every recalled claim is HMAC-signed back to its originating trajectory span.
Python ★ 6 1mo agoExplain → -
awesome-reasoning-models-theory
Theory-first map of why reasoning models (o1/o3, DeepSeek-R1, Claude-thinking, Qwen-QwQ) actually work — 8 chapters, 60+ annotated papers, 13 models compared, 5 reproduction notebooks, live benchmarks tracker, with the faithfulness and overthinking debates engaged honestly.
Jupyter Notebook ★ 5 1mo agoExplain → -
mcp-postgres
A Postgres MCP server for agents — layered safety (role grant + pglast AST guard + per-tx envelope + audit log), schema introspection, EXPLAIN analysis, pgvector. PG 13–17.
Python ★ 5 2mo agoExplain → -
mcp-jupyter
MCP server for Jupyter. Gives coding agents access to live kernel state (variables, dataframe summaries, plots, tracebacks) instead of just the .ipynb JSON.
Python ★ 5 2mo agoExplain → -
rag-bench
rag-bench: a small, reproducible benchmark for RAG pipelines.
Python ★ 5 1mo agoExplain → -
mcp-wandb-2
Analytical MCP server for Weights & Biases — hyperparameter importance, sweep summaries, run-delta analysis, inline charts, and gated Launch actions. Designed to install alongside wandb/wandb-mcp-server.
Python ★ 5 1mo agoExplain → -
awesome-why-llms-work
A falsifiable-hypothesis atlas of why LLMs work: five competing research programmes, 41 tracked claims with epistemic status (🟢🟡🔴⚪) and named falsifiers.
Python ★ 5 2d agoExplain → -
awesome-llm-trading-agents
A curated, verified map of the LLM-trading-agent ecosystem, frameworks, papers, datasets, and evaluation tools, with honest notes on what is rigorous and what is hype.
Python ★ 5 1mo agoExplain → -
capture-engine
Capture any web page as vector PDF, standalone HTML, or high-DPR raster, crisp at any zoom, local-only, MV3.
TypeScript ★ 5 2mo agoExplain → -
ai-engineer-roadmap
Interactive end-to-end roadmap for AI engineers, 12 stages, 122 nodes, 276 link-verified resources from math prerequisites to the research frontier. Curated by an active AI researcher.
Python ★ 5 1mo agoExplain → -
ai-llm-interview-guide
No description.
JavaScript ★ 5 1mo agoExplain → -
deterministic-horizon
When extended chain-of-thought stops helping, and tool delegation becomes the only way forward.
Python ★ 4 1mo agoExplain → -
llm-impossibility-results
A verified, assumption-explicit catalog of published impossibility and lower-bound results for LLMs and AI agents: circuit-complexity ceilings, hallucination bounds, watermarking impossibility, alignment vs. adversarial prompts, multi-agent coordination, and more.
Python ★ 4 1mo agoExplain → -
llm-fossils
A reproducible catalog of LLM behaviors that vanished as models scaled — pinned, measured, curated.
Jupyter Notebook ★ 4 1mo agoExplain → -
build-your-own-ai
Master modern AI by building it from scratch — a curated index of the best build-it-yourself guides for tokenizers, attention, training, RAG, agents & evals.
Python ★ 4 1mo agoExplain → -
Vannevar
Open-source agentic harness with citation-grade memory — every fact carries a source URI, temporal validity window, and append-only provenance ledger. MCP-native, multi-frontend, fully self-hostable. Apache-2.0.
Rust ★ 4 1mo agoExplain → -
harness-engineer-roadmap
An interactive roadmap for harness engineering — building the agent loop, tool layers, context engineering, memory, retrieval, eval harnesses, and the rest of the scaffolding around modern LLMs.
TypeScript ★ 4 1mo agoExplain → -
retrieval-from-scratch
Modern Information Retrieval from scratch in PyTorch — BM25, dense bi-encoders, ColBERT late interaction, cross-encoder reranking, and RAG, in annotated notebooks that run on a single GPU.
Jupyter Notebook ★ 4 1mo agoExplain → -
awesome-llm-reasoning-foundations
A curated, rigorously-verified map of the theoretical foundations of LLM reasoning — transformer expressivity, chain-of-thought error bounds, circuit complexity, logical characterizations, learnability, and knowledge-editing impossibility results.
Python ★ 4 1mo agoExplain → -
tokenviewer
No description.
TypeScript ★ 3 1mo agoExplain → -
prompt-x-ray
No description.
TypeScript ★ 3 1mo agoExplain → -
thinktrace
No description.
Python ★ 3 1mo agoExplain → -
benchprobe
Audit AI agent benchmarks for the eight exploit families catalogued by Berkeley/RDI, and publish a weekly-refreshed leaderboard of which benchmarks survive.
Python ★ 3 1mo agoExplain → -
computer_use_agent
Open-source local-VLM browser agent. AT-tree-first routing with VLM fallback, refusals enforced in code, honest benchmarks including the failure atlas.
Python ★ 3 1mo agoExplain → -
realm-retrieve
No description.
Python ★ 0 23d agoExplain →
No repos match these filters.