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PyPI agents
24,677 AI agents indexed on MeshKore from PyPI. Agent frameworks and tools published to the Python Package Index. Each entry links back to its project page.
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PyPI agents — page 130 of 247
Attack recovery support system using an LLM
A Python framework for building intelligent, recursive task decomposition systems powered by Large Language Models
Privacy-first text redaction using local LLM models with rule generation capabilities
A lightweight, zero-dependency output sanitizer for secrets, API keys, and PII.
This system utilizes a large language model (LLM) and reflection
Keep your local LLM fresh without forgetting what it already knows — replay buffers + forgetting metrics + auto-rollback for continual fine-tuning
A centralized registry for discovering and managing LLM model capabilities. Track model features, costs, and limitations across providers like OpenAI and Anthropic. Supports both verified model definitions and user-managed entries with local storage.
A flexible library for testing LLM responses against predefined rubrics using OpenAI's API for automated scoring
Lightweight regression testing for LLM prompts
Access Reka models via the Reka API
Unified LLM usage management — API proxy, session diagnostics, multi-CLI orchestration.
Promotion gate for LLM deployments. Blocks unsafe CI to staging promotion.
使用大语言模型根据 git 差异文件生成变更日志的工具
An `llm` plugin to assist with renameutils qcp/qmv commands.
LLM tools for repeated generation
A REPL for ChatGPT
LLM plugin for models hosted on Replicate
llm req client
LLM plugin for models hosted by requesty
A minimum Python package built on top of the LangChain framework to interact with LLM.
Typed LLM wiki graph pipeline for research and development projects
LLM plugin for comprehensive research using Jina AI's Search Foundation APIs
A new package that helps users discover and access the latest free LLM (Large Language Model) resources. Users can input their specific needs or interests, and the package will return a structured lis
CLI tool to estimate VRAM requirements and GPU fit for Hugging Face LLMs without downloading model weights
SQLite-backed LLM response cache. Exact match + fuzzy match. Decorator API. Zero mandatory server dependencies.
Tiny schema validator for structured LLM responses. Python port of @mukundakatta/llm-response-schema-lite.
Validate LLM responses against schemas, types, and constraints. Catch bad JSON, missing fields, and hallucinated formats before they crash your app.
Exponential backoff with full jitter for LLM API calls. Sync + async. Built-in retryable-code presets for Anthropic, OpenAI, Bedrock, Gemini. Zero runtime deps.
A local LLM-powered code review CLI tool
Lean, modular reward functions for RL training with LLMs
Time-travel debugger for AI agents. Record any production run, replay any failure.
A production framework for modular deconstruction, analysis, and recomposition of knowledge in Transformer-based language models
LLM Roleplay: Simulating Human-Chatbot Interaction
LLM-Rosetta: Unified LLM API adapter — bidirectional conversion between OpenAI, Anthropic, and Google formats via intermediate representation (IR).
Unified LLM client with key rotation, health-aware failover, and multi-provider orchestration.
Fault-tolerant LLM provider rotation with circuit breaker, quotas, and model-first routing
Intelligent LLM routing with weighted least-outstanding selection, 429 cooldown, and request class isolation
Quick LLM routing using Embeddings
Route LLM calls through one send_message() across OpenAI-compatible providers and Anthropic's native Messages API; keep a JSONL ledger of every request and response for offline cost reconciliation.
Multi-LLM router MCP server — smart complexity routing, budget-aware model selection, 20+ providers (Claude, OpenAI, Gemini, Ollama, etc.)
LLM plugin exposing the RovoDev model for the llm CLI
A Python package for LLM RPC operations
Unofficial python bindings for llm-rs. 🐍❤️🦀
Unofficial python bindings for llm-rs.
Unofficial python bindings for llm-rs. 🐍❤️🦀
Unofficial python bindings for llm-rs. 🐍❤️🦀
Recursive self aggregation
Rust-backed performance metrics and request tracing
DEPRECATED — use pii-veil + pii-core instead. Reversible PII anonymization for Polish documents.
A safety+observability layer for LLM calls: policy guardrails, secret scanning, sanitization, schema validation, retries, budgets, and logs.
Framework-agnostic verb vocabulary for LLM agents
Salvage structured data from LLM responses that didn't follow instructions.
LLM plugin providing access to the free Samba models using the samba API
LLM plugin for models hosted by SambaNova
Microlib for sampling from an LLM
A library for advanced LLM sampling techniques
LLM Sandbox is a lightweight and portable sandbox environment designed to run large language model (LLM) generated code in a safe and isolated mode.
CLI + MCP server for detecting, classifying, and redacting embedded LLM agent instructions in documents, source code, and web pages.
Dynamic feature distillation framework for robust zero-shot LLM annotation.
Evidence-first, LLM-augmented static code analysis: graph indexing, MCP server, audit workflows
AI-powered task scheduler with natural language support
LLM-ify your JSON schemas
Fix broken JSON from Ollama, llama.cpp, vLLM. Auto-repair and offline validation.
Local debugger for LLM API calls — waterfall breakdown of TTFT, cost, and token speed
Lightweight observability and diagnostics for local and self-hosted LLMs (Ollama, FastAPI, OpenWebUI).I know I messed it up for both of us and I am sorry, she will understand.. you can go ahead and use the library.
Turn any webpage into structured data using LLMs
A collection of LLM utils
A toolkit for building an LLM from scratch
This is a python sdk for llm
Provider-agnostic SDK for LLMs with async support and plugin providers.
Gemini provider plugin for llm-sdk.
Small, clean Python SDK for OpenAI-compatible LLM APIs.
A Unified Command-Line Interface for Multiple LLMs
A new package is designed to facilitate secure and structured user interactions with language models by analyzing and extracting specific information from user-provided text. It uses pattern matching
A package for LLM security features
Cognitive Security Middleware - The 'Electronic Stability Program' (ESP) for Large Language Models. Bidirectional containment system with defense-in-depth architecture (6 validation layers), stateful tracking, and mathematical safety constraints. Validated against Unicode/encoding attacks, pattern evasion, multilingual/polyglot attacks (12+ languages including Basque, Maltese), and memory/session attacks. Protocol-based hexagonal architecture with LangChain integration.
AI-powered security code reviewer using a fine-tuned Qwen2.5-Coder LLM
A Python library for selecting the best LLM model based on user input using any LLM via LiteLLM
Multi-tier caching platform for LLM embeddings, semantic search, and graph-based conversation memory
Use sentence-transformers for embeddings with LLM
Runtime monitoring SDK for AI applications — detect prompt injections and adversarial attacks in production.
Unified AI reliability platform. One install, 12 diagnostic engines. Continuous monitoring, fault diagnosis, and compliance for LLM pipelines.
Microlib for converting LLM weights into sepweight format
An LLM inference solution to quickly deploy productive LLM service
A package to perform LLM inference in Solenium/Unergy HQ
A zero-configuration tool to automate web-based LLM interactions.
A Language Model Enhanced Command Line Interface
Safety and guardrails toolkit for LLM applications
Provider and client helpers for signed LLM transcript verification
Add your description here
The SimilarityChecker module determines the similarity between two items.
SIREN: a lightweight, plug-and-play guard model for LLM harmfulness detection from internal representations.
Probe → Plan → Load. Universal model loader for multi-GPU LLM deployment.
Multi-provider AI chat interface supporting 9+ LLM providers (Anthropic, OpenAI, xAI, Cohere, Mistral, Perplexity, Gemini, HuggingFace, Groq)
輕量級 LLM 模型追蹤與自動替換 Decorator
Intelligent tool routing for LLMs with 95.8% reduction in context size
Smart memory management for LLM conversations - topic-aware compression that just works