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manxis-contact/Eureka
Eureka is a machine learning model from manxis-contact. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Aug 20, 2026
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From the Hugging Face model README
Eureka is a task-conditioned Meta-Agent architecture for long-horizon scientific discovery. This repository contains the paper-aligned public implementation of the orchestration runtime, task-conditioned specialized-agent components, schemas, and reproducibility utilities.
Product architecture note. Eureka is a research sub-architecture of Tanglang, developed by ManXis.
Paper: Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery
arXiv: https://arxiv.org/abs/2608.19047
Repository: https://github.com/manxis-contact/Eureka
Correspondence: [email protected]
src/eureka/meta_agent/ Dynamic obligation orchestration, promotion, evolution, and control schemas
src/eureka/theory_agent/ Theory-discovery policies, verification, memory, and incremental-runtime specifications
src/eureka/math_agent/ Open-conjecture runtime, typed fact/claim IR, exact primitives, retrieval, and verifier routing
tests/ Deterministic unit tests for core public components
paper/ Paper source, bibliography, and report PDF
assets/ ManXis logo and Eureka framework figure
The public package uses only the Python standard library for the core runtime.
python -m pytest -q
A minimal orchestration example:
from eureka.meta_agent.runtime.hotspot import HotspotFeatures, should_promote
features = HotspotFeatures(
nodes=12,
state_sharing=0.8,
dependency_density=0.7,
operator_recurrence=0.7,
verifier_recurrence=0.6,
continuity_need=0.8,
horizon=0.9,
repeated_plan_cost=40,
repeated_context_cost=30,
coordination_cost=20,
expected_rebase_cost=10,
lazy_compile_cost=35,
local_runtime_cost=25,
)
print(should_promote(features))
The open-conjecture runtime can be invoked from Python:
from eureka.math_agent.tools.runtime import run
print(run("Study a specified open conjecture", []))
The repository includes the ManXis team logo and the paper framework figure under assets/. The paper source references the architecture as Eureka; Tanglang is identified only as the product-level system that contains Eureka as a sub-architecture.