Python agents

Prism — the economic network for autonomous AI agents. Stripe for agents.

AI-powered project delivery MCP server for Partner Core

A production-grade Python framework implementing reusable multi-agent design patterns, stateful orchestration, and resilient execution harnesses for autonomous LLM systems.

CI security regression testing for RAG apps and AI agents

SentraGuard framework-neutral guardrail core for AI agents — LangChain/LangGraph, LiteLLM, and direct provider adapters (no OpenTelemetry dependency).

Mesh topology for distributed agent communication and workload distribution

Universal skill registry — reuse Python, Docker, CLI, REST via MCP

CrewAI tools for SNAP — private agent-to-agent payments on Solana using zero-knowledge proofs

SuperAgentX Policy Engine. Enterprise-grade AI Agent Governance Framework. Govern AI agents with policies, approvals, threat detection, cost controls, memory protection, PII, compliance protections and multi-agent security.

Swiss AI Hub Agent SDK: build transparent, workflow-based, event-driven AI agents.

TopK document store integration for Haystack with vector search, semantic search, keyword search, hybrid search and metadata retrievers

Haystack integration for transformers

Aggregate package for Turbo Agent core agentic capabilities

Voice-Interactive Reasoning Agent — a voice-controlled AI agent that accesses local folder/markdown context during collaborative sessions.

Session handover engine for AI coding agents: checkpointed, resumable, backend-agnostic persistent memory.

Isolated sandbox for AI coding agents

Harness- and transport-agnostic agent runtime: supervises an agent's process lifecycle independent of its harness (brain) and transport (IRC/Slack/agtag).

Manage Claude Code & Codex sessions, cost, and data from your terminal

Universal vision tools for AI agents via Model Context Protocol

AgentAudit SDK — make any AI agent's decisions independently verifiable on Algorand.

Local-first Maildir-inspired work mailstore for software agents

The official Python library for the agentex API

Agentic QA Maestro — fully automated testing from JIRA stories to defect management

Agentic TestOps for Python projects: automated pytest execution, failure diagnosis, and repair advice.

Outcome-verified agent trajectories, benchmarks, and RL environments — with a live leaderboard and a CI gate. Offline-first.

Open-source runtime tracing and diagnostics for AI agent execution flows.

Lightweight drop-in wrapper for the OpenAI Python client that logs telemetry and detects PII risks.

Haystack components for structured KV extraction from financial PDFs via Azure Document Intelligence

Per-task budget, loop detection, and kill-switch middleware for agent LLM calls. v0, deterministic and dependency-free.

Evidence-gated, stack-agnostic SDLC configuration for Claude Code (stable) and Codex (Preview), with native ckit init --runtime claude|codex|both projections and one shared gate ledger.

CLI tool to explore Claude Code conversation history

View Claude (claude.ai) usage limits across multiple accounts from your terminal

Universal agent memory plugin (ForgetForge): recall-centric retention, tiered forgetting, Rust scoring engine for Hermes, Claude Code, and Codex.

Universal agent plugin for Cluxion preprocessing, honesty contracts, clarification, Rust work queue, and resource-aware harness handoff.

Universal agent coding harness plugin: cursor logic, safe patch, line budget, Rust index, test gates.

Agentic functional programming: a multi-agent runtime built on three primitives — recursive spawning, addressable mailboxes, and capability passing — with FP-style combinators on top.

CrewAI tool for hard spending limits on AI agents via Valta

Physical-bottleneck, reverse-consensus investment analysis for every market — an LLM agent chain that traces any stock (A-share / HK / US) to its supply-chain constraint and refuses to chase narrative-driven tops. Bring your own LLM key.

Local runtime host for long-running Deep Agents channels and schedules (experimental)

Local-first TUI coding agent for Gemma 4 + llama.cpp, with GraphRAG retrieval and a curated cookbook of domain recipes.

Generate GDScript API indexes and enforce public API comment coverage.

Google GenAI SDK wrapper for integrating the Model Context Protocol (MCP)

Google Cloud Agentidentitycredentials API client library

Agent OS Kernel — CPU-scheduling-inspired runtime for LLM agent workloads

Haystack integration for Hindsight - persistent memory for AI agents

Superagent safety integration for Hindsight - guard and redact memory operations

CrewAI tools for iFlow Search (心流搜索) — web search, image search, and web-page fetching.

Agent-first IMAP CLI for safe email search, read, attachment download, and draft creation

LlamaIndex tools for iwant.fyi -- reference implementation of the iwant.fyi demand-side protocol v1.1. Lets any LlamaIndex agent express structured purchase intent and receive matched supply across multiple sources.

Drop-in Slack-fronted Claude Code agent. Add a skills/ directory, run `jean init`, deploy to Fly.io.

Knowledge-graph-powered RAG sidecar for infrastructure querying

LangChain integration for GoodSender — transactional email API with consent management

LangChain callback handler for NeBeso AI cost tracking

LangChain integration for Neuralwatt — energy-aware AI inference.

LangChain tool for hard spending limits on AI agents via Valta

LangChain VectorStore integration for Vector Panda

A LangChain integration tool that provides reliable web scraping capabilities at any scale using ZenRows' Universal Scraper API, extended with Adaptive Stealth Mode

LlamaIndex callback handler for NeBeso AI cost tracking

Multi-model coding agent powered by NVIDIA Llama (3B, 70B) with CLI, web search, and tool-use loop

Regression canary for LLM apps: YAML test suites, offline-first assertions, baseline diffing, and agent-trace policy gates for CI

Framework open-source para avaliação de confiabilidade de chatbots baseados em LLMs

Building Language Models from Scratch — tokenizer, Transformer, training, inference, and fine-tuning in clean, tested PyTorch.

Cache-optimized LLM conversation history management with static/dynamic system prompts, transition modes, and compaction hooks.

Policy-gated, durable, audited execution for AI agent tool calls. Every action gets a five-verdict policy check, a crash-safe checkpoint, and a tamper-evident audit event — a library, not a server.

This module adds support for serving a /llms.txt file in the website root. The content can be configured per website in the website settings.

An MCP server that onboards you to any codebase — point it at a repo and ask questions like a senior engineer who knows the project inside out.

OpenAI Agents SDK tool for hard spending limits on AI agents via Valta

Declarative YAML specs for multi-agent LLM systems — validate, compile, test, diff, render

Three-tier memory with trust-aware context ledger for multi-agent LLM systems

Multi-provider abstraction with capability negotiation, health checks, and fallback chains

Kubernetes Dashboard for Agent Systems — CLI + web control plane for multi-agent LLM blueprints

Production RAG pipelines without the abstraction tax

Quickly run and manage ROS 1/2 robots. Built-in MCP for Claude, Cursor, or any AI client, plus vision, sim, and hot-reload behaviors. Merkle proofs make every run tamper-evident and replayable.

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The native TLC agent in your terminal — bring your own brain; TLC is the body.

Reference verifier for the Agent Action Capsule SCITT profile (draft-mih-scitt-agent-action-capsule), with the typed Capsule carriers and their sealing boundary Capsule.seal(), and the anchor client.

Verifier for Agent Action Capsules — a SCITT application profile for verifiable agent actions (name claim; implementation to follow).

High-ticket business builder — AI agent pipeline CLI

Read and search Codex CLI and Claude Code chat history from the terminal.

Signed, hash-chained, tamper-evident AI incident records (MCP server). EU AI Act Art 73 ready. By MEOK AI Labs / CSOAI.

One typed runtime API for Claude, Codex, and Antigravity agent SDKs.

Framework for evaluating agent skills across OpenCode, Claude Code, and Codex

Golden trace regression evaluation for tool-using AI agents

Which 5-hour window took you out, and where the money goes. Local usage/cost profiler for Claude Code, OpenClaw and Hermes Agent. Zero dependencies, nothing leaves your machine.

Local-first agent memory: an Obsidian markdown vault as source of truth, with a rebuildable DuckDB index.

Governance layer for autonomous AI agents — pre-flight checks, runtime monitoring, and post-session reporting.

Build emotion-aware AI agents, adaptive episodic memory, SQL AI, RAG, tools, and Gemini-powered agent systems.

An MCP which adds terminal capabilities to an agent.

Enforcement and audit layer for AI agents — argument-level tool firewall, trust scoring, tamper-evident audit log, and prompt-injection detection across the Anthropic & OpenAI SDKs, LangGraph, and MCP.

AgentPay Python SDK — Lightning Network payments for AI agents

Harness for measuring LLM agent resistance to indirect prompt injection and comparing defense effectiveness.

Zero-latency AgentWatch wrapper for the official OpenAI Python client.

Anthropic Claude SDK with OmegaEngine governance - AI safety and compliance

An Anytype-native LLM wiki combining Karpathy's pattern with Anytype's typed knowledge graph (Objects, Types, Relations).

The self-improving AI agent — creates skills from experience, improves them during use, and runs anywhere

LangChain / LangGraph / CrewAI integration for auto-browser

OmegaEngine governance integration for autogen-omega

Microservice blueprint for creating agents

LlamaIndex FunctionTool wrappers for the BuyWhere product catalog API