Rivet VS Honcho
Compare Rivet VS Honcho, what is the difference between Rivet and Honcho?
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Summarize
Rivet summarize
Rivet Landing Page
Honcho summarize
Honcho Landing Page
Compare Details
Rivet details
| Categories | AI Agent, AI Workflow, AI Developer Tools, AI App Builder |
| Rivet Website | https://rivet.dev?utm_source=toolify |
| Added Time | September 11 2026 |
| Rivet Pricing | -- |
Honcho details
| Categories | AI Agent, AI API, AI Knowledge Management, AI Developer Tools |
| Honcho Website | https://honcho.dev?utm_source=toolify |
| Added Time | September 10 2026 |
| Honcho Pricing | -- |
Comparison of usage
How to use Rivet?
Install Rivet locally with the Rivet SDK, create durable Actors and workflows, configure agentOS environments for secure execution, and connect your existing frameworks, runtimes, tools, and cloud platforms. Develop locally using the same APIs and control-plane behavior as production, then deploy to Rivet Cloud, your own infrastructure, or a fully self-hosted environment. Use the Rivet dashboard or Rivet MCP to inspect actor state, sessions, workflow runs, and application releases.
How to use Honcho?
Create a Honcho workspace, connect an AI agent or supported integration, and write conversation messages to Honcho. The platform automatically stores, indexes, and reasons over the messages. Call context() to retrieve curated memory and conversation history with controls such as token limits, search, summaries, and peer targeting. For specific questions, use .chat() with a selected reasoning tier. Honcho can also be integrated through its CLI, Claude Code, OpenAI Codex, OpenClaw, Hermes Agent, and DeepSeek Harness plugins.
Compare Pros between Rivet and Honcho
Core features of Rivet
- Durable Actors for persistent agent processes, memory, real-time communication, and streaming
- agentOS environments with secure code execution, filesystems, isolation, and session transcripts
- Restart-safe durable workflows for multi-step agent operations
- Dynamic Apps for deploying AI-generated application backends
- Managed cloud, VPC, on-premises, self-hosted, and air-gapped deployment options
- Dashboard observability for Actors, agentOS sessions, workflows, and releases
- Rivet MCP integration for AI clients such as Claude Code, Codex, and Cursor
- Postgres, FoundationDB, and S3 storage support
- Integration with React, Next.js, Svelte, Hono, Express, Node.js, Bun, Deno, AWS, Kubernetes, and other tools
Core features of Honcho
- Automatic message ingestion, indexing, and continual reasoning
- Curated context retrieval through context()
- Token-budgeted context generation for lower usage and cost
- On-demand reasoning through multiple .chat() tiers
- Unlimited memory retrieval
- Background dreaming for asynchronous pattern identification and inference
- Peer-based memory for users, agents, NPCs, groups, and relationships
- Scoped perspectives and granular session management
- Model-agnostic support for OpenAI, Anthropic, and custom models
- Integrations for Claude Code, OpenAI Codex, OpenClaw, Hermes Agent, and DeepSeek Harness
- Production support for stateful AI applications
Compare Use Cases
Use cases for Rivet
- Build AI agents with persistent state, memory, and durable execution
- Run agents in isolated environments with secure code execution and filesystem access
- Automate long-running, multi-step business processes that must survive restarts
- Deploy AI-generated application backends for end users
- Operate agent infrastructure inside a private VPC, on-premises, or an air-gapped network
- Monitor agent sessions, workflow runs, actor state, and application releases
- Create real-time and streaming applications powered by durable agents
Use cases for Honcho
- Build coding agents that remember team conventions, architecture preferences, and prior code reviews
- Create AI companions with persistent relationships, emotional continuity, and preference alignment
- Develop NPCs that form opinions, remember relationships, and adapt game narratives
- Provide customer support agents with persistent context across sessions, channels, and handoffs
- Build educational tutors that track misconceptions and adapt difficulty over time
- Create productivity agents that preserve workflow context across tools and sessions
- Support multi-agent or group conversations with scoped peer perspectives
Different Plan between Rivet and Honcho
Rivet
$0 per month
For prototyping and small projects. Includes 100,000 Awake Actor Hours per month, a $5 compute limit, 1 vCPU maximum, 5GB storage, 5 million writes, 200 million reads, 100GB egress, and community support.
From $20 per month plus usage
For scaling applications. Includes 400,000 Awake Actor Hours, up to 8 vCPUs, 25 billion reads, 50 million writes, 5GB storage, 1TB egress, and email support.
From $200 per month plus usage
For growing teams and businesses. Includes 400,000 Awake Actor Hours, up to 8 vCPUs, 25 billion reads, 50 million writes, 5GB storage, 1TB egress, MFA, and Slack support.
Custom pricing
Self-hosted enterprise features including an Actor control plane, FoundationDB persistence, multi-tenant cloud layers, backups, point-in-time recovery, forking, ACLs, advanced analytics, OpenTelemetry, alerting configurations, Kubernetes manifests, air-gapped deployments, priority support, SLAs, and compliance hardening guidance.
Metered
Beyond plan allowances: $0.05 per 1,000 Awake Actor Hours, $0.40 per GB-month of state storage, $0.20 per million reads, $1 per million writes, $0.15 per GB of egress, and compute from $0.0000330 per vCPU-second plus $0.0000029 per GiB-second.
Honcho
$2.00 per million context tokens
Message ingestion, storage, and Neuromancer reasoning. context() has no stated retrieval limit and typically responds in approximately 200 milliseconds.
Included
Background inference for continual learning is included with every workspace.
$0.001 per query
Instant single semantic search for simple lookups.
$0.01 per query
Instant conclusions with surrounding context; described as the default tier.
$0.05 per query
Fast multiple-search reasoning with directed synthesis.
$0.10 per query
Asynchronous multi-pass analysis for deeper synthesis.
$0.50 per query
Asynchronous research-grade analysis using exhaustive history search and quantitative methods.
$1,000 in credits
Available to startups that have raised less than $5 million, with 12 months of subsidized pricing and integration support. Application required.
Custom pricing
Custom plans with forward-deployed engineers and dedicated integration and maintenance support.
Rivet's traffic
Rivet is the one with 33.1K monthly visits and 00:00:14 Avg.visit duration. Rivet has a Page per visit of 1.61 and a bounce rate of 42.25%.
Visit Over Time
| Monthly Visits | 33.1K |
| Avg·visit Duration | 00:00:14 |
| Page per Visit | 1.61 |
| Bounce Rate | 42.25% |
Honcho's traffic
Honcho is the one with 148.2K monthly visits and 00:02:21 Avg.visit duration. Honcho has a Page per visit of 3.64 and a bounce rate of 39.96%.
Visit Over Time
| Monthly Visits | 148.2K |
| Avg·visit Duration | 00:02:21 |
| Page per Visit | 3.64 |
| Bounce Rate | 39.96% |
Geography
The top 5 countries/regions for Rivet are:United States 37.24%, India 21.98%, Brazil 11.24%, Israel 4.78%, Hong Kong, China 3.92%
Top 5 Countries/regions
 | 37.24% |
 | 21.98% |
 | 11.24% |
 | 4.78% |
 | 3.92% |
Geography
The top 5 countries/regions for Honcho are:United States 44.88%, Germany 8.27%, Indonesia 7.80%, India 6.59%, United Kingdom 4.00%
Top 5 Countries/regions
| 44.88% |
 | 8.27% |
 | 7.80% |
| 6.59% |
 | 4.00% |
Traffic Sources
The 6 main sources of traffic to Rivet are:Direct 37.62%, vs_sourcesSearchOrganic 29.69%, vs_sourcesSocialOrganic 19.11%, Referrals 9.20%, Mail 1.80%, vs_sourcesDisplayAds 0.82%, vs_sourcesGenAi 0.56%, vs_sourcesAffiliate 0.53%, vs_sourcesSearchPaid 0.46%, vs_sourcesSocialPaid 0.21%
Direct | 37.62% |
vs_sourcesSearchOrganic | 29.69% |
vs_sourcesSocialOrganic | 19.11% |
Referrals | 9.20% |
Mail | 1.80% |
vs_sourcesDisplayAds | 0.82% |
vs_sourcesGenAi | 0.56% |
vs_sourcesAffiliate | 0.53% |
vs_sourcesSearchPaid | 0.46% |
vs_sourcesSocialPaid | 0.21% |
Traffic Sources
The 6 main sources of traffic to Honcho are:Direct 44.32%, vs_sourcesSearchOrganic 25.06%, Referrals 11.93%, vs_sourcesSearchPaid 11.41%, vs_sourcesSocialOrganic 2.98%, Mail 2.05%, vs_sourcesGenAi 1.26%, vs_sourcesDisplayAds 0.82%, vs_sourcesAffiliate 0.17%, vs_sourcesSocialPaid 0.00%
Direct | 44.32% |
vs_sourcesSearchOrganic | 25.06% |
Referrals | 11.93% |
vs_sourcesSearchPaid | 11.41% |
vs_sourcesSocialOrganic | 2.98% |
Mail | 2.05% |
vs_sourcesGenAi | 1.26% |
vs_sourcesDisplayAds | 0.82% |
vs_sourcesAffiliate | 0.17% |
vs_sourcesSocialPaid | 0.00% |
Which is better: Rivet or Honcho?
Honcho might be a bit more popular than Rivet.As you can see, Rivet has 33.1K monthly visits, while Honcho has 148.2K monthly visits. So more people choose Honcho. So the odds are that people will recommend Honcho more on social platforms.
Rivet has an Avg.visit duration of 00:00:14, while Honcho has an Avg.visit duration of 00:02:21. Also, Rivet has a page per visit of 1.61 and a Bounce Rate of 42.25%. Honcho has a page per visit of 3.64 and a Bounce Rate of 39.96%.
The main users of Rivet are United States, India, Brazil, Israel, Hong Kong, China, with the following distribution: 37.24%, 21.98%, 11.24%, 4.78%, 3.92%.
The main users of Honcho are United States, Germany, Indonesia, India, United Kingdom, with the following distribution: 44.88%, 8.27%, 7.80%, 6.59%, 4.00%.
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