# Honcho 依據 OpenAITools.app 於 2026-11-11 查驗的觀測資料，Honcho（honcho.dev）是收錄於 AI Agent 的 AI 平台，每月產生 13.78萬次造訪，月流量變化量為 +3009（+2.2%）。其主要地理市場為美國（流量佔比 30.6%），並採用付費、需聯絡報價定價模式。依每月流量計算的主要競爭替代方案包括 supermemory（每月 15.66萬次造訪），EverMemOS（每月 2.42萬次造訪），Memoripy（每月 105 次造訪）。 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. ## 主要觀測資料與規格 | 指標 | 數值 | | :--- | :--- | | 工具名稱 | Honcho | | 代稱 | honcho | | Status | active | | Origin | open_source | | Maintenance | active | | 官方網域 | honcho.dev | | 網站網址 | https://honcho.dev | | 分類 | AI Agent, AI API, AI 知識管理, AI 開發者工具 | | 定價模式 | 付費、需聯絡報價 | | 每月造訪次數 | 137,752 | | 月流量變化 | 3,009 | | 月成長率 | +2.2% | | 主要市場 | 美國 | | 市佔率 | 30.6% | | 直接造訪 | 59,031 | | 自然搜尋造訪 | — | | 社群造訪 | — | | 推薦流量造訪 | 23,837 | | 電子郵件造訪 | 4,089 | | 評論分數 | 4.5 | | 收藏數 | 0 | | 支援平台 | 網站 | | 帳務平台 | | | 屬性 | 價格: 付費; 價格: 需聯絡報價; 功能: 網站 | | 標籤 | AI 記憶, AI 原生記憶, 有狀態 AI 代理, 持久化代理記憶, 持續學習, Agent 上下文管理, LLM 記憶, 長期記憶, 上下文檢索, 語意搜尋, Token 最佳化, Token 預算管理, 對話歷史, 個人化, 使用者建模, 同儕建模, 多代理記憶, 群組對話記憶, NPC 記憶, AI 伴侶記憶, 後台推理, 夢境推理, 隨選推理, 不綁定模型的 AI, OpenAI 整合, Anthropic 整合, Claude Code 整合, OpenAI Codex 整合, OpenClaw 整合, Hermes Agent 整合, DeepSeek Harness 整合, 客服記憶, 程式編寫代理, 適性輔導, 遊戲 AI, 生產級 AI 基礎架構 | ## 總覽 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. ## 價格與方案 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. ## 關鍵功能與能力 - **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. ## 主要使用情境 - **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. ## 優勢 - 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 ## 限制 - 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 ## 常見問題 ### 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 的每月流量與成長趨勢為何？ Honcho 目前每月有 13.78萬次造訪，月流量變化為 +3009（成長率 +2.2%）。其主要來源市場為美國（佔比 30.6%），其中包含每月 5.9萬次直接造訪與每月 — 次自然搜尋造訪。 ### Honcho 是免費的嗎？其定價模式為何？ Honcho 採用付費、需聯絡報價定價模式。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. 支援的帳務與結帳平台包括：未列出。 ### 2026 年最佳的 Honcho 替代方案有哪些？ 依據 OpenAITools.app 的分類流量與功能契合度，Honcho 的前五大替代方案為：1. supermemory（每月 15.66萬次造訪）; 2. EverMemOS（每月 2.42萬次造訪）; 3. Memoripy（每月 105 次造訪）; 4. Hermes-Agent（每月 363.87萬次造訪）; 5. Merge（每月 31.32萬次造訪）。 ### Honcho 支援哪些平台與核心 AI 能力？ Honcho 分類於 AI Agent, AI API, AI 知識管理, AI 開發者工具，支援以下平台：網站，其核心能力標籤包括：AI 記憶, AI 原生記憶, 有狀態 AI 代理, 持久化代理記憶, 持續學習, Agent 上下文管理。 ## 替代方案 | 工具名稱 | 每月造訪次數 | 定價模式 | 比較 | | :--- | :--- | :--- | :--- | | [supermemory](https://openaitools.app/tw/tool/supermemory-1) | 156,579 | 需聯絡報價 | [比較](https://openaitools.app/tw/compare/honcho-vs-supermemory-1) | | [EverMemOS](https://openaitools.app/tw/tool/evermemos) | 24,237 | 免費試用、免費 | [比較](https://openaitools.app/tw/compare/evermemos-vs-honcho) | | [Memoripy](https://openaitools.app/tw/tool/memoripy) | 105 | 免費 | [比較](https://openaitools.app/tw/compare/honcho-vs-memoripy) | | [Hermes-Agent](https://openaitools.app/tw/tool/hermes-agent-1) | 3,638,741 | 免費增值 | [比較](https://openaitools.app/tw/compare/hermes-agent-1-vs-honcho) | | [Merge](https://openaitools.app/tw/tool/merge-dev) | 313,201 | 免費增值、需聯絡報價 | [比較](https://openaitools.app/tw/compare/honcho-vs-merge-dev) | | [Composio](https://openaitools.app/tw/tool/composio) | 2,782,603 | 免費增值、需聯絡報價 | [比較](https://openaitools.app/tw/compare/composio-vs-honcho) | | [Portkey](https://openaitools.app/tw/tool/portkey-ai) | 195,650 | 免費增值、付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/honcho-vs-portkey-ai) | | [Agno](https://openaitools.app/tw/tool/agno) | 140,302 | 需聯絡報價、免費 | [比較](https://openaitools.app/tw/compare/agno-vs-honcho) | | [RightNow Inference（RunInfra）](https://openaitools.app/tw/tool/runinfra) | 18,110 | 免費試用、付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/honcho-vs-runinfra) | | [Hermes Agent](https://openaitools.app/tw/tool/hermes-agent) | 23,304 | 免費 | [比較](https://openaitools.app/tw/compare/hermes-agent-vs-honcho) | | [Pinecone](https://openaitools.app/tw/tool/pinecone) | 286,732 | 免費增值、付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/honcho-vs-pinecone) | | [AIsa](https://openaitools.app/tw/tool/aisa) | 89,162 | 免費增值 | [比較](https://openaitools.app/tw/compare/aisa-vs-honcho) | --- 來源：https://openaitools.app/tw/tool/honcho