lionagi is a framework for governed multi-agent orchestration: a Python library and the li CLI for building, running, and observing agent systems. API models and coding CLIs, one graph.
Language InterOperable Networked Automated General Intelligence · the name since 2023
No hidden prompt chains. Every operation is an explicit, typed step. Inspect it, persist it, replay it.
Claude Code, Codex, and Gemini CLI run as first-class agents alongside API models. Same graph, same observability.
Every run writes a manifest, branch snapshots, and live streams to disk. li monitor shows what your fleet is doing right now.
Parallel fanout with synthesis, DAG flows with reactive expansion, schedules with chaining. Composable, not magical.
Permission policies, guard hooks, path restrictions, sandboxed worktrees. Agents get capabilities, not root.
Pydantic response formats with fuzzy parsing for imperfect model JSON. Typed results you can build on.
One surface from a single chat turn to a DAG of operations. Structured output lands as Pydantic models; tool calls, streams, and state live on the branch, so nothing is hidden in a runtime you can't read.
Read the docsfrom lionagi import Branch, iModel
from pydantic import BaseModel
class Assessment(BaseModel):
risk: str
rationale: str
branch = Branch(chat_model=iModel(
provider="anthropic", model="claude-sonnet-5",
))
result = await branch.operate(
instruction="Rank this design by failure risk",
response_format=Assessment,
)Local dashboard for the lionagi daemon: runs, schedules, sessions, live streams.
Formal verification layer in Lean4 for machine-checked reasoning about agent-system correctness.
Creator of LionAGI and former AG2/AutoGen maintainer. I've built the orchestration frameworks, inference infrastructure, MCP tooling, and verification systems that these reviews draw from.
From debugging agent loops to architecting multi-agent orchestration to building MCP servers in Rust: the sessions are based on patterns from systems I have built and shipped.
Architecture reviews, working sessions, and team training on agent systems, from the person who builds this stack every day.
Consulting & booking