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The model is the interface. khive is the computer.

Haiyang (Ocean) Li

Founder of khive AI, New York. I build the infrastructure long-horizon AI agents run on: a system of record and operations for agent organizations (khive), an orchestration framework (lionagi), a workspace for AI agents (khive computer), a pure Rust inference engine for Apple Silicon (Lattice) and a formally verified agent kernel (LNkernel). Rust and Python, open source, built in public.

Each project is run by the agents it serves before it ships. I design the architecture, set the constraints and gate the merges.

lionagi on PyPI khive-computer on PyPI khive on crates.io khive cloud LinkedIn

Co-founder, Agentics Foundation · co-maintainer, AG2 · Lion Saturday live streams

The stack

The stack: a model on top; lionagi orchestrates; khive remembers and coordinates; khive computer is the workspace; Lattice computes; LNkernel proves.

khive khive stars
The system of record and operations for agent-native organizations, served over MCP: entity graph with typed edges, hybrid retrieval (HNSW, BM25, rank fusion, in process), durable task state, memory with salience and decay, inter-agent messaging. Hosted at khive.ai; self-hosted from one binary and SQLite. Get it: crates.io · docs.

lionagi lionagi stars
Agent orchestration, built continuously since 2023: model-agnostic tool use, structured output, multi-agent flows, typed operations. The runtime my own fleet runs on. Get it: pip install lionagi.

khive computer khive computer stars
Workspace for AI agents, over MCP. Files live in content-addressed trees and a write returns a new tree; refs move by compare-and-swap with history; commands run on a tree in a sandbox and come back as a tree, cached by their inputs; git at the edge; one token is one seat. Eight tools. Get it: uv tool install khive-computer · kc up.

Lattice Lattice stars
Transformer inference in pure Rust on Apple Silicon: Qwen 3+ and Gemma 4 including vision-language and vision embedding, Metal and CPU, quantization and LoRA fine-tuning, a native macOS app. No Python, no CUDA, no ONNX; about 5% of ONNX Runtime's binary size. Serves embeddings on a Raspberry Pi.

LNkernel LNkernel stars
A formally verified agentic kernel: Lean 4 proofs of the kernel data structures, the capability algebra and the policy rules, machine-checked against the Rust definitions.

Also public

moodboard moodboard stars
Visual coherence measurement: how well an image fits a board's look, with calibrated intervals and a traceable offline report.

CanonSys CanonSys stars
Agent governance: a policy DSL, a charter runtime and a cryptographic evidence chain.

medgraph medgraph stars
ICD-10-CM read as the graph it already is, packed for khive, with a one-command demo.

lionag2 lionag2 stars
lionagi primitives on AG2: multi-player, multi-threaded agent orchestration.

lean-proofs lean-proofs stars
Formal proofs in Lean 4.

Quant notes
American put optimization · SPX option intraday backtest

Entry points

I want to… Start here Then
Give my agents a system of record: memory, tasks, messages, a graph khive.ai or self-host khive connect any MCP client to it
Give an agent a place to work: trees, refs, sandboxed commands, git khive computer kc up and hand the client the token
Orchestrate agents in Python with structured output lionagi run them against a khive and a computer
Run Qwen or Gemma on a Mac with no Python runtime Lattice embeddings, reranking and classification in process
Read machine-checked proofs about an agent kernel LNkernel the Lean 4 side of the Rust

Numbers, dated

Public GitHub API, October 14, 2026. Owned repositories, forks excluded.

Measure Value
Followers 189
Public repositories 16, of which 12 owned and not forks
Stars across owned public non-fork repositories 527
lionagi 412 stars, 85 forks
Lattice 45 stars
khive 33 stars

Stars measure attention, not users; downloads count fetches, not people.

Now

  • khive computer 0.1.0 is on PyPI with the image on ghcr: uv tool install khive-computer, kc up.
  • khive cloud is open at khive.ai: the hosted khive, MCP at khive.ai/v1/mcp.

Background

M.S. Quantitative Finance, Fordham University. B.S. Finance and Information Management & Technology, Syracuse University. Markets first, infrastructure second, agents now.

khive.ai · LinkedIn · Lion Saturday

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