agentx-dev
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 22 Jul 2026. How this is checked
AgentX is a Python framework designed for building production-grade LLM agents. It supports multiple LLM providers, permission-gated tools, RAG with several vector stores, semantic memory, supervisor-based multi-agent orchestration with handoffs, streaming, evaluations, prompt caching, and MCP integration. The framework aims to simplify the development of complex autonomous AI agent systems.
Inferred · not functionally tested
Overview
5 featuresPurpose: Building reliable, production-ready LLM agent applications with complex orchestration, memory, and tool integrations.
Inferred · not functionally tested
Audience: AI developers and LLM engineers
Inferred · not functionally tested
Functions: agents, rag, workflow_automation
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, api_only
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, agentx-dev takes a focused approach. Inferred · not functionally tested: It focuses on building reliable, production-ready LLM agent applications with complex orchestration, memory, and tool integrations. Inferred · not functionally tested: agentx-dev is an open-source project aimed at AI developers and LLM engineers. Basis unknown · not verified: agentx-dev is open source under the MIT license. Basis unknown · not verified: agentx-dev is available on the command line and API.
shadrach098 builds and maintains agentx-dev, and it first shipped in 2026. Development happens publicly on GitHub with 38 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are multi-agent orchestration, RAG pipelines, and permission-gated tools. Inferred · not functionally tested: 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 orchestration
- RAG pipelines
- Permission-gated tools
- Semantic memory
- Prompt caching
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
3What PulseGate has recorded for this listing
Frequently asked questions about agentx-dev
- What is agentx-dev?
- Inferred · not functionally tested: Agentx-dev focuses on building reliable, production-ready LLM agent applications with complex orchestration, memory, and tool integrations. It is catalogued under Frameworks & runtimes on PulseGate.
- Who is agentx-dev for?
- Inferred · not functionally tested: agentx-dev is an open-source project built for AI developers and LLM engineers.
- Does agentx-dev have a free plan?
- Basis unknown · not verified: Yes — agentx-dev is open source under the MIT license and free to use.
- What platforms does agentx-dev run on?
- Basis unknown · not verified: agentx-dev runs on the command line and API.
- Is agentx-dev still maintained?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 38 commits in the last 90 days.
- What are alternatives to agentx-dev?
- Similar projects tracked by PulseGate include AgentX, AgentX, and agentos-framework.AgentXAgentXagentos-framework
- Who develops agentx-dev?
- agentx-dev is developed by shadrach098.
- How long has agentx-dev been around?
- agentx-dev first shipped in 2026.
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