Topics / #self-improvement

Self-improvement projects on GitHub

As of , the most-starred Self-improvement projects on GitHub are up (68.8K stars), dspy (38.7K stars) and LifeOS (19.5K stars). GitHub.Locker tracks 9 Self-improvement repositories with 164.8K stars combined. The fastest-growing on October 16 was how-to-live-better, with +158 stars in a day.

9Projects
164.8KStars in total
+299Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

9 projects · by stars

  1. #1 · byoungd/up

    up

    An open, continuously updated book on lifelong learning in the AI era: it starts from learning English and expands into AI learning, real projects, startup failure and recovery.

    68.8K
  2. #2 · stanfordnlp/dspy

    dspy

    DSPy is a Python framework for programming — rather than prompting — language models: you build modular AI systems in code, and its algorithms automatically optimize the prompts and weights.

    38.7K
  3. #3 · danielmiessler/LifeOS

    LifeOS

    LifeOS is a general-purpose AI harness for life and work: it captures who you are, what you care about, and where you're trying to go, then uses AI that knows you to move you from your Current State to your Ideal State.

    19.5K
  1. 4

    A-Programmers-Guide-to-English

    17Kyujiangshui/A-Programmers-Guide-to-English

    A free guide, written in Chinese for programmers, on how to genuinely learn English: it covers the nature of language learning, how to train for it, and which materials and tools to use.

  2. 5

    how-to-live-better

    12.3Kcdyforever/how-to-live-better · HTML

    A single, self-contained HTML page that renders the open-source book '高性价比人生指南' (How to Live Better) — all 32 sections and 528 life-advice tips — into a searchable, mobile-friendly reading page.

  3. 6

    hermes-agent-self-evolution

    5.5KNousResearch/hermes-agent-self-evolution · Python

    It is an evolutionary self-improvement system for Hermes Agent that uses DSPy and GEPA (Genetic-Pareto Prompt Evolution) to automatically optimize the agent's skills, tool descriptions, system prompts, and code, producing measurably better versions through reflective evolutionary search.

  4. 7

    rrsi

    1.5Kgoogle-research/rrsi · Python

    RRSI (Regularized Recursive Self-Improvement) is a Google research framework that automatically improves an LLM agent's harness (prompts, control flow, tools, memory, context management around a frozen model) by searching over harness edits and keeping only those with measured, auditable gains.

  5. 8

    AntOmniEvo

    1.2Kant-research/AntOmniEvo · Python

    AntOmniEvo is an auto-evolution framework: you give it your system's tunable artifacts (skills, prompts, workflow configs, or code) plus a way to score them, and it runs a concurrent evolution loop where a coding-agent 'Proposer' rewrites those files to produce better-performing candidates.

  6. 9

    memex

    266nicosuave/memex · Rust

    Memex indexes your local coding-agent conversations (Claude Code, Codex, Cursor, and more) so you can search past work, read original transcripts, and resume sessions in the original tool.

Often tagged together