KiwiQ
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Production-grade agent orchestration with JSON-based agent definitions and enterprise observability
Key Features
Multi-Agent Single Agent Human-in-the-Loop Streaming Async Support Short-Term Memory Long-Term Memory Shared Memory Plugin System Custom Tools Code Execution Sandboxing Guardrails DAG Workflows CLI API Server Self-Hosted Cloud Hosted
Community Feedback
Strengths
- Production-tested at scale
- JSON-driven configuration
- Built-in observability
Weaknesses
- Smaller community
- Documentation still growing
KiwiQ Details
| Organization | KiwiQ |
| Organization Type | Company |
| Funding | Seed |
| Category | AI Harness |
| Subcategory | Orchestration |
| Deployment | Hybrid |
| Primary Language | Python |
| Runtime | Python 3.10+ |
| License | Apache-2.0 |
| Commercial Use | Unrestricted |
| Install Command | pip install kiwiq |
| GitHub Stars | 165 |
| GitHub Forks | 16 |
| Open Issues | 4 |
| Contributors | 1 |
| Last Commit | 2026-03-18 |
| Maturity | Stable |
| Pricing Model | Open core |
| Free Tier | Open-source core, enterprise features paid |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Small |
| Community Activity | Active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-03-27 |
| LLM Providers | OpenAI, Anthropic, Google, Azure OpenAI |
| API Keys Required | LLM provider API key |
Use Cases
- Enterprise agent deployment
- JSON-configured agent pipelines
- Agent observability
- Multi-tier memory management
When to Use
Best for: Enterprise teams wanting config-driven agent orchestration with observability
Avoid when: Quick prototyping or need large community support
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a