Freedom251 › AI Prompt Management Software
HoneyHive

What HoneyHive is
HoneyHive is an agent observability platform for teams seeking to inspect and improve AI agents in production. It captures traces that expose prompts, tool calls, and agent decisions step by step. Teams can assess behavior with code-based checks, LLM judges, or human reviews using annotation queues and custom rubrics. For live traffic, they can set score thresholds, monitor drift, and receive email or webhook alerts. Experiments compare agent versions on datasets and help track regressions before changes ship. HoneyHive documents integrations for LangChain, LangGraph, CrewAI, OpenAI Agents SDK, and Microsoft Copilot Studio. Its tracing follows OpenTelemetry semantic conventions, allowing OTel-instrumented libraries to send data without a dedicated integration guide. The platform also supports cost and token-cost tracking, prompt management, and LLM, agent, and retrieval tracing. The free Developer plan costs nothing and includes up to five users, one workspace, 10,000 events per month, 30-day data retention, and 1,000 requests per minute. Enterprise pricing is custom, with hosting and support options. HoneyHive states it is SOC 2 Type II audited and GDPR-compliant with EU data residency, and offers a HIPAA BAA for healthcare.
Who it suits
HoneyHive is aimed at AI platform teams, AI engineers, domain experts, and risk and governance teams. The free Developer plan may suit teams within its user, event, and retention limits.
What it does well
- Traces show prompts, tool calls, and agent decisions.
- Supports code, LLM-judge, and human evaluations.
- Live monitoring includes drift detection and alerts.
- OpenTelemetry conventions support instrumented libraries.
- Free plan includes 10,000 monthly events.
What to know first
- Free plan limits users to five.
- Free plan retains data for 30 days.
- Enterprise pricing is custom.
Limits
The free Developer plan includes up to five users, one workspace, 10,000 events per month, and 30-day data retention. Enterprise offers custom usage limits, user and workspace counts, and retention.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Developer | 10,000 events per month · Up to 5 users · 1 workspace · Unlimited projects per workspace · 30-day data retention · 1,000 requests per minute | Free |
| Enterprise | Custom Pricing · Custom usage limits · Unlimited users and workspaces · Custom data retention · Custom support and hosting options | On request |
As honeyhive.ai lists them, read 7 Oct 2026. The maker's own page has the final word.
Getting started
- Visit the HoneyHive website.
- Choose the Developer plan for the free tier, or contact sales about Enterprise.
- Use the web platform, API, or self-hosted deployment option.
- Connect an agent framework or platform using a documented integration, or send traces through OTel-instrumented libraries.
HoneyHive is an observability and evaluation platform for AI agents in production. It suits AI platform teams, engineers, domain reviewers, and governance groups that need evidence about agent behavior across development and live traffic. The strongest case is a unified workflow from trace inspection to regression checks and operational alerts, provided the Developer allowance matches your event volume.
Overview
HoneyHive brings agent tracing, evaluations, monitoring, prompt management, cost tracking, and version experiments into one service. Its step-by-step view follows tool calls, prompts, and agent decisions, so teams can investigate how an answer was produced rather than judging only the final output. The product is offered through an API and web interface, with self-hosted deployment also available.
HoneyHive is a particularly sensible fit when several roles must review the same agent: engineers can inspect execution, domain experts can annotate examples, and risk teams can set quality thresholds. It is less compelling for a small project that only needs occasional prompt comparisons and has no ongoing traffic to monitor.
Key features
Tracing and integrations
Tracing uses OpenTelemetry semantic conventions. Teams already instrumenting libraries with OTel may be able to send telemetry without waiting for a HoneyHive-specific integration guide. HoneyHive also documents integrations for LangChain, LangGraph, CrewAI, the OpenAI Agents SDK, and Microsoft Copilot Studio. Retrieval tracing and LLM tracing extend visibility beyond a single model call.
Evaluations and experiments
Automated code-based checks, LLM-judge evaluations, and human reviews can be combined. Annotation queues and custom rubrics give domain experts a structured way to assess cases that automated scoring cannot reliably settle. That flexibility is useful for high-stakes or specialized agents, although teams remain responsible for designing meaningful tests and review criteria.
Dataset-based experiments compare agent versions and expose regressions before release. This makes HoneyHive more than a logging destination: it supports a repeatable pre-shipping gate as well as post-deployment analysis.
Live monitoring and alerts
Teams can score live traffic, define score thresholds, detect drift, and send email or webhook alerts. Those controls help turn evaluation results into operational action, especially when a change gradually degrades quality rather than failing outright. Cost and token-cost tracking add a financial view to the same observability workflow.
Security and deployment
HoneyHive states that it is audited to SOC 2 Type II, GDPR-compliant with EU data residency, and offers a HIPAA BAA for healthcare. Enterprise hosting can be multi-tenant SaaS, single-tenant SaaS, hybrid, or self-hosted. In a self-hosted arrangement, both control and data planes stay in the customer environment while HoneyHive manages the deployment, which is suited to organizations with residency or isolation requirements.
Pricing
Developer
The Developer plan is free. It includes one workspace, unlimited projects within that workspace, up to five users, 10,000 events per month, 30-day data retention, and a limit of 1,000 requests per minute. Community support is included. This is a credible starting point for a small team or a pilot, but the event ceiling can arrive quickly for busy production agents, and the fixed retention window limits long-term trend analysis.
Enterprise
Enterprise uses custom pricing with custom usage limits, unlimited users and workspaces, custom data retention, and custom support and hosting options. Dedicated technical account management and quarterly business reviews are listed for this tier. It is the appropriate route for organizations that need procurement, governance, higher volume, or controlled deployment, but buyers must obtain a tailored quote before comparing total cost.
Platforms
HoneyHive is available through API and web access, with self-hosted deployment options. Enterprise customers can choose SaaS, hybrid, or customer-environment hosting, while self-hosted deployments keep both planes inside that environment.
Who it's for
AI platform teams and AI engineers get detailed execution traces, evaluations, experiments, and live alerts in one workflow. Domain experts and governance teams benefit from annotation queues, custom rubrics, thresholds, and drift detection. The free tier fits early development and contained workloads; larger or regulated operations should assess Enterprise limits, retention, support, and hosting requirements.
Pros and cons
Pros
- End-to-end agent oversight: tracing, evaluation, monitoring, and release experiments are connected rather than split across separate tools.
- Flexible evaluation: code checks, LLM judges, and human annotation support both automated and expert review.
- OpenTelemetry foundation: existing OTel instrumentation can reduce the need for bespoke integration work.
- Deployment breadth: SaaS, hybrid, and self-hosted Enterprise options address stricter data and residency requirements.
Cons
- Developer limits: 10,000 monthly events, five users, one workspace, and 30-day retention may be restrictive for active production systems.
- Enterprise cost uncertainty: custom pricing and limits make budgeting impossible without a sales conversation.
- Evaluation ownership: HoneyHive supplies mechanisms, but teams must create suitable rubrics, judges, and thresholds.
Alternatives
Choose Vellum if you want a freemium option spanning web, desktop, mobile, extension, and self-hosted use, with a free tier and a 30.00 USD monthly Mighty plan.
Promptfoo is a better fit when a free Community plan with 10k red-team probes per month, broad model-provider integrations, and local or self-hosted execution is the priority.
Pick PromptHelm for a gateway-focused free tier capped at 10,000 calls per month, 10 prompts, 20 versions per prompt, one seat, and seven-day log retention.
Agenta suits teams comparing a free Hobby plan with two members, 5,000 agent runs monthly, 20 evaluations, and one-week trace retention.
Consider Braintrust when its Starter allowance of 1 GB processed data, 10,000 scores, 14-day retention, unlimited users, projects, and datasets matches your workload.
ChainForge is the neutral choice for a free, open-source, self-hosted or web tool with no stated plan limits.
Choose Langfuse for a free Hobby plan with 50,000 units per month and 30-day access, or its 29.00 USD monthly Core plan.
Maxim AI offers a free Developer tier with up to three seats, one workspace, 10,000 logs monthly, three-day retention, and email support.
For category comparisons, see AI Agent Observability Tools, AI LLM Evaluation Tools, AI LLM Observability Tools, LLM Observability Tools, Model Monitoring Software, and AI Prompt Management Software.
Verdict
HoneyHive is a strong choice for teams that need one system to trace agent decisions, evaluate quality, monitor live behavior, and test versions before release. Its free Developer plan lowers the barrier to adoption, while OTel support and flexible Enterprise hosting help it scale into more controlled environments. Look elsewhere if your workload will exceed 10,000 events a month on the free tier or if you need a clearly published Enterprise price before committing.
Verdict
HoneyHive covers trace inspection, evaluations, live monitoring, and version experiments for AI agents. Teams should compare the free plan’s limits with their event volume and retention needs.
Questions
Is HoneyHive free?
Yes. The Developer plan costs nothing and includes up to five users, one workspace, unlimited projects per workspace, 10,000 events per month, 30-day data retention, and 1,000 requests per minute.
What platforms does HoneyHive support?
HoneyHive lists web, API, and self-hosted platforms.
Which integrations are documented?
HoneyHive documents integrations for LangChain, LangGraph, CrewAI, OpenAI Agents SDK, and Microsoft Copilot Studio. OTel-instrumented libraries can also send data using its OpenTelemetry semantic conventions.
What does Enterprise cost?
Enterprise uses custom pricing. Its listed options include custom usage limits, unlimited users and workspaces, custom retention, and custom support and hosting.
What deployment options are available?
Enterprise hosting can be multi-tenant SaaS, single-tenant SaaS, hybrid, or self-hosted; self-hosted deployments put both control and data planes in the customer's environment and are managed by HoneyHive.
What security assurances does HoneyHive state?
HoneyHive states that it is audited to SOC 2 Type II, GDPR-compliant with EU data residency, and offers a HIPAA BAA for healthcare.
Facts from HoneyHive's own pages
- Audience
- HoneyHive describes its intended users as AI platform teams, AI engineers, domain experts, and risk and governance teams. · honeyhive.ai, 7 Oct 2026
- Evaluation
- HoneyHive supports automated code-based and LLM-judge evaluations as well as human evaluations with annotation queues and custom rubrics. · honeyhive.ai, 7 Oct 2026
- Experiments
- Teams can compare agent versions on datasets and track regressions before shipping changes. · honeyhive.ai, 7 Oct 2026
- Free-plan limit
- The Developer plan includes up to 5 users, one workspace, 10,000 events per month, and 30-day data retention. · honeyhive.ai, 7 Oct 2026
- Headquarters
- Brooklyn, New York, United States · honeyhive.ai, 28 Sept 2026
- Hosting
- Enterprise offers multi-tenant SaaS, single-tenant SaaS, hybrid, or self-hosted deployment options. · honeyhive.ai, 7 Oct 2026
- Integrations
- HoneyHive documents integrations for agent frameworks and platforms including LangChain, LangGraph, CrewAI, OpenAI Agents SDK, and Microsoft Copilot Studio. · docs.honeyhive.ai, 7 Oct 2026
- Monitoring
- Teams can evaluate live traffic, set score thresholds, detect drift, and receive email or webhook alerts. · honeyhive.ai, 7 Oct 2026
- OpenTelemetry
- HoneyHive's tracing is built on OpenTelemetry semantic conventions, so OTel-instrumented libraries can send data without a dedicated integration guide. · docs.honeyhive.ai, 7 Oct 2026
- Product
- HoneyHive is an agent observability platform for observing, evaluating, and improving AI agents in production. · honeyhive.ai, 7 Oct 2026
- Security
- HoneyHive states that it is audited to SOC 2 Type II, GDPR-compliant with EU data residency, and offers a HIPAA BAA for healthcare. · honeyhive.ai, 7 Oct 2026
- Self-hosting
- Self-hosted deployments place both the control plane and data plane in the customer's environment and are managed by HoneyHive. · docs.honeyhive.ai, 7 Oct 2026
- Support
- The Developer plan includes community support, while Enterprise lists dedicated technical account management and quarterly business reviews. · honeyhive.ai, 7 Oct 2026
- Tracing
- The platform lets teams inspect traces step by step, including tool calls, prompts, and agent decisions. · honeyhive.ai, 7 Oct 2026
Where HoneyHive stands on Freedom251
- AI Prompt Management Software#6 of 25
- AI Agent Evaluation Tools#14 of 28
- Prompt Engineering Tools#13 of 25
- AI Agent Observability Tools#17 of 31
- AI LLM Evaluation Tools#17 of 30
- Llm Monitoring#17 of 26
- AI LLM Observability Tools#17 of 23
- Model Monitoring Software#18 of 24
- LLM Observability Tools#20 of 26
