LibraryAI and agent development

spring-ai-agent-utils

Add Claude Code-inspired tools and skills to Spring AI applications.

LibraryAI and agent development

spring-ai-agent-utils

Add Claude Code-inspired tools and skills to Spring AI applications.

LibraryAI and agent development

mem0

@mem0aiPython

Add searchable long-term memory to AI assistants and agents.

Project overview

Mem0 stores user, session, and agent state so assistants, support bots, and automated systems can recall preferences and prior interactions. Developers can integrate it through Python or JavaScript libraries, a CLI, a self-hosted server, or the managed platform. Its core workflow depends on an LLM and an embedding model, and some managed-platform optimizations are not included in the open-source SDK.

Stars: 60,549
Forks: 7,035
License: Apache-2.0

LibraryAI and agent development

smolagents

@huggingfacePython

Build lightweight agents that act through Python code or tool calls.

Project overview

smolagents offers a compact Python framework for code-writing agents, conventional tool-calling agents, and multi-agent hierarchies, with support for different model providers and Hub sharing. Its CodeAgent expresses actions as Python snippets. Since those snippets are executed, untrusted workloads should use a sandboxed backend; the local Python executor is explicitly not a security boundary.

Stars: 28,276
Forks: 2,753
License: Apache-2.0

LibraryAI and agent developmentGitHub Copilot

SkillOpt

@microsoftPython

Optimize reusable natural-language agent skills with trajectory-driven edits and validation gates.

Project overview

SkillOpt treats a skill document as the trainable state of an otherwise frozen agent. An optimizer model converts scored trajectories into bounded add, delete, or replace edits, and a candidate is accepted only when it strictly improves a held-out validation score. The resulting best_skill.md can be deployed without changing model weights or adding extra model calls at inference time, giving researchers and engineering teams a controlled way to improve reusable agent instructions.

Stars: 12,683
Forks: 1,178
License: MIT

LibraryAI and agent developmentLinux

SWE-smith

@SWE-benchPython

Turns GitHub repositories into executable software-engineering tasks for training SWE agents.

Project overview

SWE-smith creates Docker execution environments from GitHub repositories, synthesizes tasks such as file localization and program repair, filters instances that break one or more tests, and generates issue text. The resulting tasks and trajectories can support SWE-agent training or evaluation. It requires Docker and was developed for Ubuntu 22.04; Windows and macOS are not planned targets.

Stars: 696
Forks: 125
License: MIT

spring-ai-agent-utils

spring-ai-agent-utils

Project overview

Repository facts

Related projects

mem0

smolagents

SkillOpt

SWE-smith