GGbond-bo/MemOmics-Agent

Autonomous research Agent for bioinformatics: 300+ bioinformatics skills, persistent R/Python kernels, autonomous accumulation of user experience, scripts as skills, audit and debate dual gating, self-healing supervision for long tasks, and three-layer long-term memory; autonomously builds knowledge bases, searches and extracts literature, designs research ideas, polishes papers, performs bioinformatics analysis and visualization, and more. Ready to use on Windows/Linux with any OpenAI-compatibl

This repository also configures its own agents. See what MemOmics-Agent tells them →

19Stars on the repository
261Mods indexed here, across every type
yesterdayLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

agentmail

25

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Give the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses (e.g. [email protected]).

not rated 19 yesterday A 41 tokens copy · 92% MIT

3-statement-model

26

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Build fully-integrated 3-statement models (IS, BS, CF) in Excel with working capital schedules, D&A roll-forwards, debt schedule, and the plugs that make cash and retained earnings tie. Pairs with excel-author.

not rated 19 yesterday A 54 tokens copy · 95% MIT

comps-analysis

27

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Build comparable company analysis in Excel — operating metrics, valuation multiples, statistical benchmarking vs peer sets. Pairs with excel-author. Use for public-company valuation, IPO pricing, sector benchmarking, or outlier detection.

not rated 19 yesterday A 46 tokens copy · 92% MIT

dcf-model

28

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Build institutional-quality DCF valuation models in Excel — revenue projections, FCF build, WACC, terminal value, Bear/Base/Bull scenarios, 5x5 sensitivity tables. Pairs with excel-author. Use for intrinsic-value equity analysis.

not rated 19 yesterday A 53 tokens copy · 100% MIT

excel-author

29

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex needs its repo

Build auditable Excel workbooks headless with openpyxl — blue/black/green cell conventions, formulas over hardcodes, named ranges, balance checks, sensitivity tables. Use for financial models, audit outputs, reconciliations.

not rated 19 yesterday A 50 tokens copy · 95% MIT

lbo-model

30

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Build leveraged buyout models in Excel — sources & uses, debt schedule, cash sweep, exit multiple, IRR/MOIC sensitivity. Pairs with excel-author. Use for PE screening, sponsor-case valuation, or illustrative LBO in a pitch.

not rated 19 yesterday A 55 tokens copy · 95% MIT

merger-model

31

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Build accretion/dilution (merger) models in Excel — pro-forma P&L, synergies, financing mix, EPS impact. Pairs with excel-author. Use for M&A pitches, board materials, or deal evaluation.

not rated 19 yesterday A 54 tokens copy · 97% MIT

pptx-author

32

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Build PowerPoint decks headless with python-pptx. Pairs with excel-author for model-backed decks where every number traces to a workbook cell. Use for pitch decks, IC memos, earnings notes.

not rated 19 yesterday A 46 tokens copy · 95% MIT

stocks

33

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Stock quotes, history, search, compare, crypto via Yahoo.

not rated 19 yesterday A 15 tokens copy · 100% MIT

fitness-nutrition

35

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Gym workout planner and nutrition tracker. Search 690+ exercises by muscle, equipment, or category via wger. Look up macros and calories for 380,000+ foods via USDA FoodData Central. Compute BMI, TDEE, one-rep max, macro splits, and body fat — pure Python, no pip installs. Built for anyone chasing gains, cutting…

not rated 19 yesterday A 87 tokens copy · 84% MIT

neuroskill-bci

36

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Connect to a running NeuroSkill instance and incorporate the user's real-time cognitive and emotional state (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ derived EXG scores) into responses. Requires a BCI wearable (Muse 2/S or OpenBCI) and the NeuroSkill desktop app…

not rated 19 yesterday A 82 tokens copy · 94% MIT

fastmcp

37

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.

not rated 19 yesterday A 62 tokens copy · 94% MIT

mcporter

39

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.

not rated 19 yesterday A 41 tokens copy · 84% MIT

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.

not rated 19 yesterday A 69 tokens copy · 86% MIT

chroma

41

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source…

not rated 19 yesterday A 63 tokens copy · 83% MIT

clip

42

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

not rated 19 yesterday A 60 tokens copy · 91% MIT

faiss

43

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance…

not rated 19 yesterday A 66 tokens copy · 92% MIT

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding…

not rated 19 yesterday A 78 tokens copy · 81% MIT

guidance

45

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework.

not rated 19 yesterday A 38 tokens copy · 91% MIT

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance…

not rated 19 yesterday A 75 tokens copy · 95% MIT

outlines

47

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Outlines: structured JSON/regex/Pydantic LLM generation.

not rated 19 yesterday B 17 tokens copy · 86% MIT

instructor

48

GGbond-bo/MemOmics-Agent

Skill Claude CodeCodex

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library.

not rated 19 yesterday A 41 tokens copy · 94% MIT

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