# Honcho 根据 OpenAITools.app 于 2026-11-11 核对的流量数据，Honcho（honcho.dev）是一个收录在 AI Agent 下的 AI 平台，月访问量为 13.78万，月度环比流量变化为 +3009（+2.2%）。其主要地理市场为美国（30.6% 流量份额），采用付费，定价请咨询定价模式。按月流量计算的主要竞争替代方案包括 supermemory（15.66万次访问/月），EverMemOS（2.42万次访问/月），Memoripy（105 次访问/月）。 Honcho is an open-source memory layer for AI agents. It ingests messages, indexes them, and runs background reasoning so agents can recall who a user is, what happened before, and what to do next — across sessions, tools, and machines. ## 关键遥测与规格 | 指标 | 数值 | | :--- | :--- | | 工具名称 | Honcho | | 标识 | honcho | | Status | active | | Origin | open_source | | Maintenance | active | | 官方域名 | honcho.dev | | 官网地址 | https://honcho.dev | | 分类 | AI Agent, AI API, AI 知识管理, AI Developer Tools | | 定价模式 | 付费，定价请咨询 | | 月访问量 | 137,752 | | 月度环比流量变化 | 3,009 | | 月度环比增长率 | +2.2% | | 主要市场 | 美国 | | 市场份额 | 30.6% | | 直接访问量 | 59,031 | | 自然搜索访问 | — | | 社交访问 | — | | 推荐访问 | 23,837 | | 邮件访问 | 4,089 | | 评价得分 | 4.5 | | 收藏数 | 0 | | 支持平台 | 网站 | | 计费平台 | | | 属性 | 定价: 付费; 定价: 定价请咨询; 功能: 网站 | | 标签 | AI 记忆, AI 原生记忆, 有状态 AI 智能体, 持久化代理记忆, 持续学习, Agent 上下文管理, LLM 记忆, 长期记忆, 上下文检索, 语义搜索, Token 优化, Token 预算管理, 对话历史, 个性化, 用户建模, 同伴建模, 多智能体记忆, 群组对话记忆, NPC 记忆, AI 伴侣记忆, 后台推理, 梦境推理, 按需推理, 模型无关的 AI, OpenAI 集成, Anthropic 集成, Claude Code 集成, OpenAI Codex 集成, OpenClaw 集成, Hermes Agent 集成, DeepSeek Harness 集成, 客服记忆, 编码智能体, 自适应辅导, 游戏 AI, 生产级 AI 基础设施 | ## 概览 Honcho is an open-source memory layer for AI agents. It ingests messages, indexes them, and runs background reasoning so agents can recall who a user is, what happened before, and what to do next — across sessions, tools, and machines. ## 定价与套餐 Usage-based pricing on the hosted platform: ingestion billed at roughly $2 per 1M tokens stored, unlimited free reads from context(), and on-demand reasoning queries tiered from about $0.001 (instant minimal) up to $0.50 (research-grade Max). The software itself is open source. ## 关键功能与能力 - **Reasoning memory engine:** Neuromancer continuously derives conclusions, patterns, and hypotheses from stored messages rather than only replaying raw text. - **One-call context():** Returns curated reasoning plus relevant conversation history in around 200ms, ready to drop into any agent loop. - **Peer and relationship modeling:** Track users, agents, NPCs, groups, and their relationships with global or surgically scoped perspectives. - **Model-agnostic integrations:** Works with OpenAI, Anthropic, and custom models, plus coding agents and clients like Claude Code, Codex, and OpenClaw. - **Background Dreaming:** Asynchronous reasoning runs automatically to keep the model of each peer fresh without slowing down runtime. ## 主要用例 - **Give coding agents long-term project memory (AI engineer):** Persist team conventions, architecture decisions, and user preferences so agents stop starting every session cold. - **Build NPCs and companions that remember (Companion and game developer):** Model emotional arcs, shared history, and relationships so characters deepen over time instead of resetting. - **Carry customer context across handoffs (Support platform owner):** Keep a persistent picture of each customer across sessions, channels, and agents so nobody has to start from the beginning. - **Cut prompt token spend (Product builder):** Use token-budgeted, reasoned context instead of dumping full histories to shrink context windows and cost. ## 优势 - Open source, so you can self-host and inspect the memory layer - Reasons about users over time instead of only storing raw messages - Model-agnostic with a broad set of agent and client integrations - Unlimited free reads plus configurable token budgets reduce prompt bloat - Rich peer/scoped models support multi-agent, group, and NPC use cases ## 局限 - Reasoning quality and cost depend on choosing the right query tier - Pricing is developer-oriented and requires estimating token volumes - Deep reasoning tiers are asynchronous and may not fit strictly real-time flows - Self-hosting means you own infrastructure, scaling, and storage costs ## 常见问题 ### Is Honcho open source? Yes. Honcho is described as open-source AI memory for agents, and a hosted offering is also available if you prefer not to run it yourself. ### How is Honcho different from a vector store? A vector store retrieves text. Honcho additionally reasons over interactions to form conclusions, patterns, and hypotheses, then serves curated context with token budgets rather than raw chunks. ### How does pricing work? On the hosted platform ingestion is billed per million tokens stored (about $2 per 1M), reads through context() are free and unlimited, and on-demand reasoning queries are tiered from roughly $0.001 up to $0.50 depending on depth. ### Which models and tools does it support? Honcho is model-agnostic and works with OpenAI, Anthropic, and custom models, with integrations for Claude Code, Codex, Hermes Agent, OpenClaw, and other agent tooling. ### Honcho 的月流量和增长趋势如何？ Honcho 目前每月获得 13.78万访问量，月度环比流量变化为 +3009（增长率 +2.2%）。其主要来源市场是美国（30.6% 份额），包括每月 5.9万次直接访问和每月 — 次自然搜索访问。 ### Honcho 免费吗？它的定价模式是什么？ Honcho 采用付费，定价请咨询定价模式。Usage-based pricing on the hosted platform: ingestion billed at roughly $2 per 1M tokens stored, unlimited free reads from context(), and on-demand reasoning queries tiered from about $0.001 (instant minimal) up to $0.50 (research-grade Max). The software itself is open source. 支持的计费和结账平台包括：未列出。 ### 2026 年 Honcho 的最佳替代方案有哪些？ 基于 OpenAITools.app 的分类流量和功能契合度，Honcho 的前五个替代方案是：1. supermemory（15.66万次访问/月）; 2. EverMemOS（2.42万次访问/月）; 3. Memoripy（105 次访问/月）; 4. Hermes-Agent（363.87万次访问/月）; 5. Merge（31.32万次访问/月）。 ### Honcho 支持哪些平台和核心 AI 能力？ Honcho 被归类在 AI Agent, AI API, AI 知识管理, AI Developer Tools 下，支持以下平台：网站，其核心能力标签包括：AI 记忆, AI 原生记忆, 有状态 AI 智能体, 持久化代理记忆, 持续学习, Agent 上下文管理。 ## 替代工具 | 工具名称 | 月访问量 | 定价模式 | 对比 | | :--- | :--- | :--- | :--- | | [supermemory](https://openaitools.app/zh/tool/supermemory-1) | 156,579 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/honcho-vs-supermemory-1) | | [EverMemOS](https://openaitools.app/zh/tool/evermemos) | 24,237 | 免费试用，免费 | [对比](https://openaitools.app/zh/compare/evermemos-vs-honcho) | | [Memoripy](https://openaitools.app/zh/tool/memoripy) | 105 | 免费 | [对比](https://openaitools.app/zh/compare/honcho-vs-memoripy) | | [Hermes-Agent](https://openaitools.app/zh/tool/hermes-agent-1) | 3,638,741 | 免费增值 | [对比](https://openaitools.app/zh/compare/hermes-agent-1-vs-honcho) | | [Merge](https://openaitools.app/zh/tool/merge-dev) | 313,201 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/honcho-vs-merge-dev) | | [Composio](https://openaitools.app/zh/tool/composio) | 2,782,603 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/composio-vs-honcho) | | [Portkey](https://openaitools.app/zh/tool/portkey-ai) | 195,650 | 免费增值，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/honcho-vs-portkey-ai) | | [Agno](https://openaitools.app/zh/tool/agno) | 140,302 | 定价请咨询，免费 | [对比](https://openaitools.app/zh/compare/agno-vs-honcho) | | [RightNow Inference（RunInfra）](https://openaitools.app/zh/tool/runinfra) | 18,110 | 免费试用，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/honcho-vs-runinfra) | | [Hermes Agent](https://openaitools.app/zh/tool/hermes-agent) | 23,304 | 免费 | [对比](https://openaitools.app/zh/compare/hermes-agent-vs-honcho) | | [Pinecone](https://openaitools.app/zh/tool/pinecone) | 286,732 | 免费增值，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/honcho-vs-pinecone) | | [AIsa](https://openaitools.app/zh/tool/aisa) | 89,162 | 免费增值 | [对比](https://openaitools.app/zh/compare/aisa-vs-honcho) | --- 来源：https://openaitools.app/zh/tool/honcho