GitHub Repo Briefing
andrej-karpathy-skills
multica-ai/andrej-karpathy-skills
A single CLAUDE.md file that turns four coding rules into agent instructions: think before coding, keep the design simple, make small changes, and work toward a clear goal.
A first test
Copy the file into a disposable project and give the agent one small bug. Check whether it asks for the goal first and changes only the files that the fix needs.
evolver
A JavaScript engine for self-evolving agents. It stores proposed changes as Genes, Capsules, and Events so you can review what changed before you run the next cycle.
A first test
Install it with npm install -g @evomap/evolver. Run one local evolution with --review, inspect the generated capsule, and keep the change only if you can explain its test result.
GenericAgent
A small self-evolving agent with browser, terminal, file, keyboard, screen, and Android tools. It includes both a terminal interface and a web interface for testing those actions.
A first test
Create a uv environment and run the TUI against a throwaway folder. Ask it to list and edit one test file, then inspect every command before you allow a wider tool scope.
hermes-agent
A terminal agent with a learning loop, reusable skills, persistent memory, and interfaces such as Telegram. It is designed to keep useful context between tasks.
A first test
Run the install script in a separate user or container and start hermes. Give it one read-only task, then check which memory and skill files it writes before connecting external accounts.
claude-mem
A Claude Code plugin that captures session work, compresses it, and injects relevant context into later sessions. It supports persistent project memory instead of relying on one chat window.
A first test
Install it with npx claude-mem install in a test project. Complete one small task, start a new session, and verify that the recalled context is correct before using it for client work.
openai-agents-python
A Python SDK for agents, tools, guardrails, handoffs, and multi-agent workflows. Its Runner API passes control between agents while keeping the workflow in application code.
A first test
Install it with pip install openai-agents. Define one agent with one local function tool, run it with Runner.run_sync, and assert the final output and tool arguments in a test.
dive-into-llms
A Chinese programming tutorial series for learning large language models through explanations and working exercises. The material is organized as a practical path rather than a library.
A first test
Choose one chapter, create its stated environment, and run its smallest example. Change one input and write down which output changed and why before moving to the next chapter.
voicebox
A local-first voice studio for text to speech, voice cloning, dictation, and MCP voice tools. It keeps the models and audio workflow on the user's machine when configured locally.
A first test
Start with a short script and one voice model. Generate a ten-second clip, check the output file and pronunciation, and confirm where the audio and model files are stored.
multica
A self-hosted workspace for assigning coding-agent tasks, tracking progress, and sharing reusable skills. It treats agents as workers with separate tasks and project context.
A first test
Run the setup in a test repository and assign one issue to one agent. Review the generated branch and task log before adding a second agent or granting write access to production.
open-agents
An open-source reference app for running background coding agents with a web interface, Vercel runtime, sandboxes, and GitHub integration. It is a starting point for building a custom service.
A first test
Fork it and run one agent against a test repository. Trace the request, sandbox, branch, and pull request path so you know where credentials and generated files go.
opensre
An OpenSRE framework for agents that investigate incidents on infrastructure you control. It provides onboarding, investigation commands, and a place to record evidence and actions.
A first test
Install it with pipx or the project script and run opensre onboard on a test service. Give it one known alert and check that each conclusion links to a log or command result.
omi
A wearable and desktop second-brain system that captures conversations or screens, transcribes them, and produces summaries, action items, and chat context.
A first test
Use it for one non-sensitive meeting or screen session. Read the transcript, summary, and stored data location, then remove the recording before testing it with private material.