agentloops
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 27 Jun 2026. How this is checked
agentloops is an open-source Python package that adds an intelligence layer to AI agents, enabling self-learning loops, memory, and rule-based improvements. It integrates with frameworks like LangChain and supports MCP, targeting developers building advanced AI agents.
Inferred · not functionally tested
Overview
5 featuresPurpose: Enabling AI agents to learn and improve autonomously through self-learning loops.
Inferred · not functionally tested
Audience: AI agent developers
Inferred · not functionally tested
Functions: agents
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: agent-loops.com · github.com. These links do not verify the individual claims.
agentloops sits in PulseGate's Frameworks & runtimes category. Inferred · not functionally tested: It focuses on enabling AI agents to learn and improve autonomously through self-learning loops. Inferred · not functionally tested: It is built as an open-source project for AI agent developers. Basis unknown · not verified: agentloops is open source under the MIT license. Basis unknown · not verified: agentloops is available on the web, the command line, and API, and it can be self-hosted.
Behind agentloops is mhollweck, and it first shipped in 2026. The GitHub repository has been archived. Inferred · not functionally tested: Among its 5 catalogued features are self-learning loops, agent memory, and rule-based logic. Inferred · not functionally tested: Catalogued interfaces include a public API and an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Self-learning loops
- Agent memory
- Rule-based logic
- MCP support
- Integration with LangChain
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about agentloops
- What does agentloops do?
- Inferred · not functionally tested: Agentloops focuses on enabling AI agents to learn and improve autonomously through self-learning loops. It is catalogued under Frameworks & runtimes on PulseGate.
- Who should use agentloops?
- Inferred · not functionally tested: agentloops is an open-source project built for AI agent developers.
- Does agentloops have a free plan?
- Basis unknown · not verified: Yes — agentloops is open source under the MIT license and free to use.
- What platforms does agentloops run on?
- Basis unknown · not verified: agentloops runs on the web, the command line, and API. It can also be self-hosted.
- Is agentloops still active?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 29 commits in the last 90 days.
- What projects are similar to agentloops?
- Similar projects tracked by PulseGate include loopy-agent, easyloops, and autoloop.loopy-agenteasyloopsautoloop
- Who makes agentloops?
- agentloops is developed by mhollweck.
- How long has agentloops been around?
- agentloops first shipped in 2026.
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