hive
Active·★ 11.0k·Updated 2026-09-05
★ Trending★ Hidden Gem
Hive is a framework for building reliable, self-improving AI agents without hardcoding workflows. It defines goals through conversation with a coding agent, which then generates a node graph with dynamically created connection code.
hive is currently grouped under Observability, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Goal-Driven Development and Developing self-improving AI agents for complex, evolving tasks.. It also shows measurable community traction with 11.0k GitHub stars.
#AI Agent Framework#Multi-Agent Orchestration#Goal-Driven AI#Self-Healing Systems#Observability
01
Features
01Goal-Driven Development
02Self-Adapting Agents
03Dynamic Node Connections
04SDK-Wrapped Nodes
05Human-in-the-Loop
02
Why choose it
+Goal-Driven Development
+Developing self-improving AI agents for complex, evolving tasks.
+Covers 8 supported environments or platforms, which is helpful for broader deployment needs.
+The latest recorded update is 2026-09-05, which suggests the project is still actively maintained.
03
Trade-offs
!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04
Compatibility
OpenAI
Supported
Verified via docs
Anthropic
Supported
Verified via docs
Google Gemini
Supported
Verified via docs
Docker
Native
Verified via docs
LiteLLM
Roadmap
Verified via docs
Ollama
Roadmap
Verified via docs
05
Quick start
1
$ git clone https://github.com/adenhq/hive.git
2
$ cd hive
3
$ cp config.yaml.example config.yaml
4
$ npm run setup
5
$ docker compose up
06
Use cases
↳Developing self-improving AI agents for complex, evolving tasks.
↳Building production-ready multi-agent systems with high reliability and automatic recovery.
↳Creating goal-driven AI applications where outcomes are defined in natural language.
07
How it compares
≈hive sits in the Observability category, so it makes more sense to evaluate it alongside tools like worldmonitor instead of in isolation.
≈If your main need is closer to "Developing self-improving AI agents for complex, evolving tasks.", that use case is a better lens for comparison than broad feature checklists alone.
≈hive's licensing and community traction are both easier to judge in category context.
08
Alternatives
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🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
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Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
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