Agent Infrastructure Python Packages

memee

Cross-model shared memory for AI agents. One canon. Every model, every project, every teammate.

agenda-intelligence-md

Evidence & eval layer for strategic intelligence agents. Markdown protocol, JSON schemas, CLI checks, and a stdio MCP server that help AI agents produce auditable, schema-valid, evidence-aware policy / sanctions / regulation / geopolitical-risk briefs. Not a factuality verifier.

inkbox

SDK, skills, and examples for Inkbox: give AI agents a persistent identity with email, phone number, and internet address

rebuno

Python SDK for the Rebuno execution runtime

contextweaver

Budget-aware context compilation and context firewall for tool-heavy AI agents.

zero-api-key-web-search

Search infrastructure for AI agents: free by default, MCP-ready, LLM-context aware, and production-grade when needed.

chainweaver

Deterministic orchestration layer for MCP-based agents.

cmgl

Certified Memory Governance Layer for long-running AI agents: strict receipts, append-only ledgers, authority gates, retrieval filtering, telemetry replay, and safe adapters for Mem0, Graphiti, LangMem, and LangGraph.

safeagent-exec-guard

AI agent execution guard — prevents duplicate actions from retries with exactly-once execution, request-id dedup, and durable receipts.

atomicmemory-hermes

Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.

cross-validated-search

Search infrastructure for AI agents: free by default, MCP-ready, LLM-context aware, and production-grade when needed.

free-web-search-ultimate

Search infrastructure for AI agents: free by default, MCP-ready, LLM-context aware, and production-grade when needed.

ewm-core

Observable trajectory infrastructure — trading domain reference implementation

mcp-preflight

See what an MCP server exposes before you trust or connect it.

report-needs

MCP server for AI agents to report infrastructure needs they encounter