deepcrew-ai
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 1 Jul 2026. How this is checked
deepcrew-ai is an open-source Python library for developers to spawn, manage, and observe multi-agent AI workflows. It supports features like APEX synthesis, looping, skills, memory, and observability, making it easier to build complex agent-based systems.
Inferred · not functionally tested
Overview
5 featuresPurpose: Simplifies the creation and management of complex multi-agent AI workflows for developers.
Inferred · not functionally tested
Audience: AI developers
Inferred · not functionally tested
Functions: agents, workflow_automation, monitoring
Inferred · not functionally tested
Interfaces: API: unknown · 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 · 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 Multi-agent & orchestration space, deepcrew-ai takes a focused approach. Inferred · not functionally tested: It simplifies the creation and management of complex multi-agent AI workflows for developers. Inferred · not functionally tested: It is built as an open-source project for AI developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.
Aayush Joshi builds and maintains deepcrew-ai, and it first shipped in 2026. Development happens publicly on GitHub with 15 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include multi-agent spawning, APEX synthesis, and skill management. Basis unknown · not verified: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Multi-agent spawning
- APEX synthesis
- Skill management
- Memory support
- Observability
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about deepcrew-ai
- What is deepcrew-ai?
- Inferred · not functionally tested: Deepcrew-ai simplifies the creation and management of complex multi-agent AI workflows for developers. It is catalogued under Multi-agent & orchestration on PulseGate.
- Who should use deepcrew-ai?
- Inferred · not functionally tested: deepcrew-ai is an open-source project built for AI developers.
- Is deepcrew-ai free?
- Basis unknown · not verified: Yes — deepcrew-ai is open source under the MIT license and free to use.
- What platforms does deepcrew-ai run on?
- Basis unknown · not verified: deepcrew-ai runs on the command line. It can also be self-hosted.
- Is deepcrew-ai still maintained?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 15 commits in the last 90 days.
- Who makes deepcrew-ai?
- deepcrew-ai is developed by Aayush Joshi.
- How long has deepcrew-ai been around?
- deepcrew-ai first shipped in 2026.
- Is deepcrew-ai open source?
- Basis unknown · not verified: Yes — deepcrew-ai is open source under the MIT license, developed on GitHub.
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