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description=dewee is an enterprise agent runtime for human and AI agent teamwork, tenant isolation, security-first operations, BYO provider keys, and cost-aware AI control.;

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Text of the page (random words):
dewee enterprise agent runtime dewee use cases pricing roadmap blog theme system subscribe fig 1 enterprise agent runtime give your ai agents a control plane not just a chat window rev goclaw v4 security first ops byo provider keys dewee runs agents across every provider and channel with tenant isolation real permissions cost evidence and audit trails so teams move fast without losing control subscribe to saas book a demo built on goclaw v4 goclaw 1 tenant isolation each workspace keeps its own users keys memory and files no shared data 2 permission nodes scoped grants and approval gates in front of every tool an agent can reach 3 provider routing bring your own keys across any model local or enterprise endpoints 4 audit cost trail every action recorded with the model that ran it and what it cost 1 tenant isolation each workspace keeps its own users keys memory and files no shared data 2 permission nodes scoped grants and approval gates in front of every tool an agent can reach 3 provider routing bring your own keys across any model local or enterprise endpoints 4 audit cost trail every action recorded with the model that ran it and what it cost routes to the providers channels your teams already run 20 provider routes openai compatible endpoints 7 chat native channel families in the gateway 5 defense layers before tool execution d1 r2 mcp cloudflare data media agent inspection fig 2 the gap a chat window can answer it can t run a company the moment agents act on real systems money data customers just a chatbot turns into three problems no prompt can fix 01 no isolation one workspace one key everyone s data mixed together fine for a demo unacceptable for clients 02 no permission an agent that can read a doc can usually also delete it post it or pay for it nobody approved that 03 no evidence when spend spikes or something ships wrong there s no trail of who acted with which model and why fig 3 how it works three moves from prompt to accountable action 01 connect bring your provider keys and plug in the channels your teams already use openai anthropic gemini local models slack discord telegram and more 02 govern carve out tenants set scoped permissions and approval gates and put budgets and policy in front of every tool an agent can reach 03 act with evidence agents and people work the same queue every action lands with an audit trail a cost record and the model that ran it fig 4 the platform four things a chat window will never give you fig 4 1 multi tenant control plane one layer many teams zero data bleed tenants users sessions keys memory and files stay separated so internal teams and clients share the same operating layer without ever sharing data fig 4 2 security first five checks before any tool runs policy injection detection credential scrubbing scoped grants and sandboxing sit between intent and execution fig 4 3 human agent teamwork lead agents delegate people approve agents create tasks hand off work and collect results on shared boards with humans kept in the decision path fig 4 4 provider freedom your keys your models your bill route across openai compatible anthropic gemini groq deepseek local or enterprise endpoints no llm credits bought from dewee knowledge vault documents memory and knowledge graph retrieval tenant scoped cost observability per run token cost and fallback evidence your finance team can read channels webhooks slack discord telegram whatsapp zalo websocket and http apis fig 5 security first by design permissions audit trails and review before any tool runs dewee puts five defense layers between an agent s intent and execution policy checks credential scrubbing scoped permissions approval gates and audit evidence so operators stay in control of every action review the controls see it in context fig 6 enterprise comparison where dewee sits beside goclaw openclaw and hermes a positioning table not a benchmark openclaw and hermes are strong self hosted autonomous projects dewee is shaped around enterprise governance capability dewee goclaw openclaw hermes enterprise tenancy and rbac advanced tenant isolation permissions and admin control plane core runtime maintained for stability personal self hosted gateway focus personal autonomous agent focus security first agent operations policy audit trails credential scrubbing and deployment review runtime hardening and production security layers depends on local self hosted setup depends on operator deployment and tool permissions human and agent teamwork lead agents member agents approvals and shared work evidence agent teams and task boards continue in maintenance path single gateway runtime model in public docs autonomous agent with persistent memory and skills provider strategy byo api keys and enterprise provider routing broad provider support bring your own models providers configurable providers and toolsets knowledge layer vault documents memory and agentbrain deep integration path knowledge features stay stable workspace session store oriented persistent memory and self improving skills commercial support enterprise support onboarding and self hosted option community open runtime maintenance open source community model open source ecosystem fig 7 pricing three ways to run it you bring the keys shared saas a dedicated runtime or fully self hosted no bundled llm credits no per seat surprise fastest managed start saas shared hosting 500 year shared dewee saas at app dewee sh with managed operations and bring your own provider keys see details most isolated isolated workspace runtime dedicated runtime on tose sh 500 99 first year start dedicated docker runtime per workspace order with custom domain support and stronger information security boundaries see details private environments custom on premises quote required fully self hosted deployment on customer infrastructure for the strongest data control boundary see details full pricing deployment models a chatbot answers an operating layer is accountable for who acted with which model under what permission at what cost the dewee thesis fig 8 created by nextlevelbuilder io built by operators who ship ai products education and infrastructure nlb builds from live product pressure customer workflows agent tooling deployment automation and knowledge heavy systems held to enterprise expectations 01 duy nguyen nlb founder product and engineering builds agent tooling product automation and ai native engineering systems 02 cuong vo nlb operator and growth advisor brings product launch pre order and automation operating experience 03 viet tran architecture advisor supports high load systems thinking education and enterprise architecture fig 9 vision and roadmap from agent gateway to governed operating layer goclaw stays the stability path dewee is the enterprise branch where permissions tenancy and knowledge features move faster now dewee private enterprise platform marketing site and hosted control plane boundary july 2026 more advanced permissions admin analytics tenant onboarding and agent website automation august 2026 emree coming soon pro user ai coworker across providers browser desktop and dewee control later optional bundled llm subscription research deeper enterprise deployment options fig 10 faq questions customers ask before choosing dewee this faq summarizes deployment boundaries refund policy provider keys on premises scope and privacy before teams move into app dewee sh how is saas different from on premises saas runs in dewee managed shared hosting dedicated tose runtime gives a stronger isolated runtime boundary on premises is installed on customer infrastructure what is the refund policy saas subscriptions can request a refund within 14 days of purchase subject to abuse heavy usage completed setup work payment processor and legal exclusions how do teams evaluate before buying teams can review pricing read the policy pages and book a demo with nextlevelbuilder io before subscribing or requesting an on premises quote does dewee include llm credits not yet customers bring their own ai provider api keys and control provider spend inside app dewee sh what is included in the on premises estimate the public 5k estimate includes installation on customer server or computer around 5 custom workflows annual license maintenance and updates for 1 year what about data security and privacy dewee focuses on tenant isolation permission controls audit evidence provider key boundaries and public terms privacy and refund policy pages fig 11 related products the nlb ecosystem around dewee dewee sits next to knowledge agent workflow and deployment products instead of becoming an isolated chatbot island agentbrain sh enterprise knowledge base and knowledge graph layer that can integrate deeply with dewee for retrieval memory evidence and organizational context goclaw the open platform maintained for fixes stability and community runtime workflows claudekit premium skills and workflows for claude code agentwiki knowledge base documentation and publishing workflows for agent native teams ui ux pro max design intelligence for professional ui ux systems tose fast production deploys with kubernetes ssl and rollback fig 12 start with dewee give your agents a control plane your security team trusts subscribe to saas talk to sales dewee goclaw v4 for enterprise agent teams built by nextlevelbuilder io in vietnam for teams that need security permissions cost evidence and real human agent collaboration hi nextlevelbuilder io product use cases pricing roadmap blog ecosystem goclaw agentbrain sh claudekit ui ux pro max company nextlevelbuilder io github x email legal terms privacy refund policy