agent-flywheel
PulseGate's liveness check found it on 16 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 16 Sep 2026. How this is checked
agent-flywheel is an MIT-licensed Python package for continual learning in AI agents. It observes tool outcomes and converts an agent's work into training data for agentic reinforcement learning, with outbound-only operation and a single runtime dependency.
Inferred · not functionally tested
Overview
6 featuresPurpose: Turning an AI agent's tool outcomes into training data for continual improvement.
Inferred · not functionally tested
Audience: AI agent developers and ML engineers
Inferred · not functionally tested
Functions: agents, analytics
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 License · 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.
In the Frameworks & runtimes space, agent-flywheel takes a focused approach. Inferred · not functionally tested: It focuses on turning an AI agent's tool outcomes into training data for continual improvement. Inferred · not functionally tested: agent-flywheel is an open-source project aimed at AI agent developers and ML engineers. Basis unknown · not verified: agent-flywheel is open source under the MIT License. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.
It is developed by Percepteye AI, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include tool outcome observation, training data generation, and continual learning.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Tool outcome observation
- Training data generation
- Continual learning
- Agent evaluation
- Reinforcement learning
- Outbound-only operation
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about agent-flywheel
- What does agent-flywheel do?
- Inferred · not functionally tested: Agent-flywheel focuses on turning an AI agent's tool outcomes into training data for continual improvement. It is catalogued under Frameworks & runtimes on PulseGate.
- Who should use agent-flywheel?
- Inferred · not functionally tested: agent-flywheel is an open-source project built for AI agent developers and ML engineers.
- Is agent-flywheel free?
- Basis unknown · not verified: Yes — agent-flywheel is open source under the MIT License and free to use.
- What platforms does agent-flywheel run on?
- Basis unknown · not verified: agent-flywheel runs on the command line. It can also be self-hosted.
- Is agent-flywheel still active?
- PulseGate's liveness check found it on 16 Sep 2026.
- Who develops agent-flywheel?
- agent-flywheel is developed by Percepteye AI.
- How long has agent-flywheel been around?
- agent-flywheel first shipped in 2026.
- Is agent-flywheel open source?
- Basis unknown · not verified: Yes — agent-flywheel is open source under the MIT License, developed on GitHub.
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