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HoneyHive

by HoneyHive Inc.

System Card

OrganizationHoneyHive Inc.
Released2022-01
Architectureagentic-workflow / AI agent observability and evaluation
DetailsHoneyHive provides tracing, evaluation, and prompt management for LLM applications and AI agents. Every agent step, tool call, and state transition is captured via OpenTelemetry-compatible tracing. Datasets for fine-tuning can be curated from logged traces. Raised $7.4M total ($5.5M Seed led by Insight Partners). GA launched April 2025.
Parameters—
Domainagent-memoryrag-retrieval
Open SourceNo
WebsiteVisit
observabilitytracingevaluationprompt-versioningfine-tuning

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Long-Context Retrieval
1/5
RULER
no data
NIAH
no data
LooGLE
no data
LongBench
603p
∞Bench
no data
Multi-Turn Recall
1/2
LoCoMo
77.974p
MemoryBank
no data
Cross-Session Memory
1/1
LongMemEval
78.366p
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
71.748p
HotpotQA
74.868p
Agent Task Memory
1/1
AgentBench-Mem
7226p
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
0/1
RAGAS
no data
Sources:HoneyHive vendor documentation; evaluated on HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering (Stanford / CMU, 1809)HoneyHive vendor documentation; evaluated on MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries (HKUST, 2401)HoneyHive vendor documentation; evaluated on AgentBench Memory Track (Tsinghua KEG, 2308)HoneyHive vendor documentation; evaluated on LoCoMo: Long-Term Conversational Memory Benchmark (Snap Research, 2402)HoneyHive vendor documentation; evaluated on LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding (Tsinghua KEG, 2308)HoneyHive vendor documentation; evaluated on LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory (Salesforce AI Research, 2410)