agentdescent
Gradient descent, but the parameters are agents, a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.
Not yet testedsource: GitHubhomepagePythonMITcommit 45e19c63db9b
Python, MIT licensed. The project labels itself: agent framework, agents, ai agents, asynchronous, evolutionary algorithms, gradient descent, llm and llm agents.
agentdescent has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
agent-frameworkagentsai-agentsasynchronousevolutionary-algorithmsgradient-descentllmllm-agentsoptimizerparallelprompt-optimizationself-evolving-agentsself-improvementskill-learning
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/agentdescent)Questions
- Does agentdescent run?
- agentdescent has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test agentdescent?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for agentdescent?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.