22 projects
agentgrid-py
Task routing layer for production AI agents — dispatch to the right agent by capability, health, and policy
agentmesh-bus
Agent-native event bus — connect agents, humans, and systems via typed events
agentpub-py
Collective knowledge store for AI agents — publish facts at runtime, query shared learning
agenteval-core
Test agents like you test code — golden paths, adversarial, policy compliance, regression
agentguard-lib
Production-grade safety guardrails for LLM agents — injection detection, PII redaction, tool governance
agentobserve-py
Unified observability dashboard for the agent stack — metrics, audit, escalations, policy, health
agentregistry-py
Discover, version, and deploy production AI agents — the registry for your agent fleet
agentplane-py
Runtime policy control plane for production AI agents. Block, degrade, escalate — without a redeploy.
agenthooks-py
Hook any production agent. Ship extensibility without a fork.
wire-ai
Workforce Intelligence & Reasoning Engine — framework-agnostic governance layer for autonomous enterprise AI agents
ai-agent-profiler
Runtime profiler and optimization engine for AI agents using MCP
consync
Bidirectional sync between spreadsheets and source code constants — with full decimal precision.
neuralhive-ai
Multi-agent orchestration framework with supervisor, router, and consensus topologies.
promptforge-ai
Enterprise prompt engineering — version control, A/B testing, compression, and linting.
tokenshield-ai
LLM token cost monitoring, budget enforcement, and optimization.
swarmlab
Swarm intelligence simulation framework — PSO, Firefly, Hybrid, DE with ablation tooling.
agentic-gateway
Universal agent protocol gateway — translate between A2A, MCP, OpenAI Assistants, and REST in one config file.
promptlab-ai
Version, diff, and A/B test your LLM prompts — like git for prompts.
tokmon-ai
Lightweight LLM token & cost tracker — drop-in decorator, live dashboards, budget alerts, async support.
codewise-ai
LLM-agnostic code review, security scanning, test generation, and documentation — as CLI, MCP server, GitHub Action, or pre-commit hook.
pytest-agentkit
Pytest plugin for testing AI agents — mock LLMs, assert tool calls, track tokens, regression-test prompts.
mcp-a2a-bridge
Bidirectional bridge between MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols
