BISHENG企业级开源AgentOps
PulseGate's liveness check found it on 13 Oct 2026; it is registered on GitHub and has been in the index since 27 Jun 2026. How this is checked
BISHENG is an open-source platform for enterprises to develop, deploy, and manage AI agents and LLM-based workflows. It offers features like RAG, model management, fine-tuning, and observability, supporting both cloud and self-hosted deployments for advanced AI applications.
Inferred · not functionally tested
Overview
5 featuresPurpose: Enabling enterprises to build, manage, and operate advanced AI agents and LLM workflows efficiently.
Inferred · not functionally tested
Audience: enterprise AI developers and operations teams
Inferred · not functionally tested
Functions: agents, rag, workflow_automation, monitoring
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: unknown · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: WEB · deployment: browser, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: bisheng.ai · github.com. These links do not verify the individual claims.
BISHENG企业级开源AgentOps sits in PulseGate's Frameworks & runtimes category. Inferred · not functionally tested: It focuses on enabling enterprises to build, manage, and operate advanced AI agents and LLM workflows efficiently. Inferred · not functionally tested: It is built as an open-source project for enterprise AI developers and operations teams. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: BISHENG企业级开源AgentOps is available on the web, and it can be self-hosted.
BISHENG企业级开源AgentOps first shipped in 2023. Development happens publicly on GitHub with 11.5k stars and 201 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are agent workflow orchestration, RAG integration, and model management. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Agent workflow orchestration
- RAG integration
- Model management
- Supervised fine-tuning
- Observability dashboard
Topics: Inferred · not functionally tested
Built with & integrations
- Next.js
- /_next/static/ in the HTML · __next_f in the HTML
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about BISHENG企业级开源AgentOps
- What does BISHENG企业级开源AgentOps do?
- Inferred · not functionally tested: BISHENG企业级开源AgentOps focuses on enabling enterprises to build, manage, and operate advanced AI agents and LLM workflows efficiently. It is catalogued under Frameworks & runtimes on PulseGate.
- Who is BISHENG企业级开源AgentOps for?
- Inferred · not functionally tested: BISHENG企业级开源AgentOps is an open-source project built for enterprise AI developers and operations teams.
- Is BISHENG企业级开源AgentOps free?
- Basis unknown · not verified: Yes — BISHENG企业级开源AgentOps is open source under the Apache-2.0 license and free to use.
- What platforms does BISHENG企业级开源AgentOps run on?
- Basis unknown · not verified: BISHENG企业级开源AgentOps runs on the web. It can also be self-hosted.
- Is BISHENG企业级开源AgentOps still maintained?
- PulseGate's liveness check found it on 13 Oct 2026. Its GitHub repository shows 201 commits in the last 90 days.
- When did BISHENG企业级开源AgentOps launch?
- BISHENG企业级开源AgentOps first shipped in 2023.
- Is BISHENG企业级开源AgentOps open source?
- Basis unknown · not verified: Yes — BISHENG企业级开源AgentOps is open source under the Apache-2.0 license, developed on GitHub.
- Does BISHENG企业级开源AgentOps have an API or integrations?
- Inferred · not functionally tested: Yes — BISHENG企业级开源AgentOps exposes a public API.
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