autocontext

About autocontext

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task autocontext is a harness for agent improvement. Give it a goal, it runs the task aga

agents ai autoresearch claude claude-code codex hermes hermes-agent llms ml

Quick Facts

Stars	1,303
Forks	114
Language	Python
Category	Codex Skill
License	Apache-2.0
Quality Score	34.25/100
Open Issues	7
Last Updated	2026-09-29
Created	2026-02-11
Platforms	claude-code, codex, python
Est. Tokens	~1762k

Compatible Skills

These tools work well together with autocontext for enhanced workflows:

NanoResearch — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
anton — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
fish-claude — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
autoresearch-claude-code — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (54%)
PraisonAI — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)

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Frequently Asked Questions

What is autocontext?

autocontext is a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task. It is categorized as a Codex Skill with 1.3k GitHub stars.

What programming language is autocontext written in?

autocontext is primarily written in Python. It covers topics such as agents, ai, autoresearch.

How do I install or use autocontext?

You can find installation instructions and usage details in the autocontext GitHub repository at github.com/greyhaven-ai/autocontext. The project has 1.3k stars and 114 forks, indicating an active community.

What license does autocontext use?

autocontext is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools