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darwinagent

PyPIInfrastructure

PulseGate's liveness check found it on 8 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 8 Oct 2026. How this is checked

darwinagent is an MIT-licensed Python package that enables AI agents to use accumulated experience for recursive self-improvement. It is intended for developers building adaptive agent systems and agent-memory workflows.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

4 features

Purpose: Helping AI agents learn from experience and recursively improve their behavior.

Inferred · not functionally tested

Audience: AI agent developers

Inferred · not functionally tested

Functions: agents

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

darwinagent is a Memory & skills project. Inferred · not functionally tested: It focuses on helping AI agents learn from experience and recursively improve their behavior. Inferred · not functionally tested: darwinagent is an open-source project aimed at AI agent developers. Basis unknown · not verified: darwinagent is open source under the MIT license. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

GogoingAI builds and maintains darwinagent, and it first shipped in 2026. Development happens publicly on GitHub with 181 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include experience-driven learning, agent memory, and recursive improvement.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Experience-driven learning
  • Agent memory
  • Recursive improvement
  • Python package

Topics: Inferred · not functionally tested

Tags
agent-memoryrecursive-self-improvementexperience-learningpython-package
AI capabilities
Text
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
openai
Written with
Claude Code
Connectors
github
Runs on
CLISelf-hosted
Written with — evidence
Claude Code
commit 16dd2d17d5e4 · since Oct 2026

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

2

What PulseGate has recorded for this listing

  1. Indexed8 Oct · 02:23 UTC
    darwinagent seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed8 Oct · 00:15 UTC
    darwinagent seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about darwinagent

What does darwinagent do?
Inferred · not functionally tested: Darwinagent focuses on helping AI agents learn from experience and recursively improve their behavior. It is catalogued under Memory & skills on PulseGate.
Who is darwinagent for?
Inferred · not functionally tested: darwinagent is an open-source project built for AI agent developers.
Does darwinagent have a free plan?
Basis unknown · not verified: Yes — darwinagent is open source under the MIT license and free to use.
What platforms does darwinagent run on?
Basis unknown · not verified: darwinagent runs on the command line. It can also be self-hosted.
Is darwinagent still active?
PulseGate's liveness check found it on 8 Oct 2026. Its GitHub repository shows 181 commits in the last 90 days.
Who develops darwinagent?
darwinagent is developed by GogoingAI.
When did darwinagent launch?
darwinagent first shipped in 2026.
Is darwinagent open source?
Basis unknown · not verified: Yes — darwinagent is open source under the MIT license, developed on GitHub.

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