Arbor

Autonomous research agent that forms hypotheses, edits code and runs experiments, keeping only gains that hold on held-out data

Agent by RUC-NLPIR

IndexedApache-2.0★ 1,125

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Setup steps are in the repository. Website · Repository

About

Arbor takes a benchmark and a goal, proposes hypotheses in a tree, edits code and runs experiments. Each executor works in its own git worktree and merges a gain only if it clears a configurable margin on a held-out test split. It also searches literature through the alphaXiv API, can check an idea's novelty before compute is spent, and ships as a CLI with an Agent Skill suite for Codex and Claude Code.

Use cases: research, coding, deep-research, code-generation, llm-evaluation

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Fact sheet

Jobs: research, codingREADME
Autonomy: Autonomous: runs tasks end to end and reports backREADME
Where you use it: TerminalREADME
Hosting: You run itREADME
Interfaces: agent-skillsREADME
Open source: YesREADME

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Signals

Stars: 1,125
Forks: 128
Open issues: 1
Last commit: Sep 8, 2026 (1 month ago)
Last release: Jul 12, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License: Apache-2.0
Repository: github.com/RUC-NLPIR/Arbor
Website: ruc-nlpir.github.io/Arbor/
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

Arbor. Agent Mart. https://agentmart.dev/agents/arbor (last updated 2026-10-24)