LiteLLM (PyPI): Malicious releases litellm 1.82.7 and 1.82.8 were removed from PyPI after reports that they could exfiltrate API keys. If you ever installed either version, uninstall them, rotate any credentials that may have been exposed, and upgrade to a release the upstream project and PyPI list as safe (for example 1.82.9+, per current upstream guidance). Check your environment with pip show litellm.
Vision
AgenticX aims to create a unified, scalable, production-ready multi-agent application development framework, empowering developers to build everything from simple automation assistants to complex collaborative intelligent agent systems.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
182,758
desktop-app
electron
fastapi
graphrag
llm
mcp
multi-agent-system
python
rag
tool-use
The framework is organized into 5 tiers: User Interface (Desktop / CLI / SDK) → Studio Runtime (Session Manager, Meta-Agent, Team Manager, Avatar & Group Chat) → Core Framework (Orchestration, Execution, Agent, Memory, Tools, LLM Providers, Hooks) → Platform Services (Observability, Protocols, Security, Storage) → Domain Extensions (GUI Agent, Knowledge & GraphRAG, AgentKit Integration).
Core Features
Core Framework
Agent Core: Agent execution engine based on 12-Factor Agents methodology, with Meta-Agent CEO dispatcher, agent team management, think-act loop, event-driven architecture, self-repair, and overflow recovery
Orchestration Engine: Graph-based workflow engine + Flow system with decorators, execution plans, conditional routing, and parallel execution
Tool System: Unified tool interface with function decorators, MCP Hub (multi-server aggregation), remote tools v2, OpenAPI toolset, sandbox tools, skill bundles, and document routers
Communication Protocols: A2A inter-agent protocol (client / server / AgentCard / skill-as-tool), MCP resource access protocol
Task Validation: Pydantic-based output parsing, auto-repair, and guiderails
Avatar & Team Collaboration
Avatar System: Avatar registry (CRUD), group chat with multiple routing strategies (user-directed / meta-routed / round-robin)
Meta-Agent Runtime: CEO dispatcher with dynamic sub-agent orchestration, team management with concurrency limits, archived snapshots, and session isolation
Tip: The core package includes only ~27 lightweight dependencies and installs in seconds. Heavy dependencies (torch, pandas, etc.) are optional extras - install only what you need.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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