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zenitya

a teammate, not a chatbot

The agent that works where your team already talks.

Bring it into the channel where work already happens. It learns how your team does the job, creates tools it needs, and keeps the repeatable parts running.

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#growth

Jacob09:41

@zenitya we have no way to pull ad numbers. can you build yourself a tool for google ads and meta ads?

Bring the model you already trust.

You are not locked into a single provider. Use any model you want, pick default for entire workspace or specific per channel, and swap it any time.

AnthropicClaude models
OpenAIGPT models
OpenRouterOne key, any model
Self-hostedYour infra

Your company teaches it how to work.

It learns from the people who know the process, builds the tools it is missing, and turns a good result into work it can repeat in the background.

  • It builds the tool it needs

    Custom tools connect it to anything, including the legacy and proprietary systems modern protocols do not reach.

    • Not limited to MCP: connect modern APIs, legacy software, or proprietary systems
    • One tool can collect data, analyse it, recommend actions, and output a PDF
    • Deterministic execution means better results, fewer tokens, and lower cost
  • It learns how your company works

    Pull the process out of one person's head, in the same conversation where the work happens.

    • Ask it to grill the teammate who knows the edge cases
    • It turns the thread into a reusable way of working
    • The next person gets Sarah's method, not a generic answer
  • Make it run on schedule

    Tell it what to run and when. It takes the work from there, even when nobody is waiting in the thread.

    • Turn any learned process into recurring background work
    • Review the task and cadence before anything is created
    • The result returns to the channel when the work is done
  • It learns the business between the lines

    The details that keep work moving rarely live in a handbook. It remembers the exceptions, commitments, and working habits your team reveals in conversation.

    • Carry customer commitments and operating context into the next decision
    • Every detail links back to the conversation that taught it
    • People can read, correct, or remove what it learned
  • Developers own the tools

    Let developers and technical teammates own the custom-tool code.

    • Version tools with Git in your organization’s repositories, and deploy only final versions
    • Build with any AI tool or IDE: Claude Code, OpenCode, Cursor, Codex, Grok, or whatever your team prefers

    Claude Code

You should always know what it did.

  • Any model

    Anthropic, OpenAI, Gemini, OpenRouter, or self-hosted, your keys.

  • Per-channel config

    Model, instructions, tools, and memory.

  • Write approvals

    State changes show the payload and wait.

  • Mention-only

    Silent by default, ambient replies opt-in.

  • Audit rows

    Who asked, which skill, tools, model, tokens.

  • Scoped access

    Assign tools by workspace, channel, or named user.

  • MCP server

    Your reviewed tools in any MCP client.

  • Skill sync

    Point at a GitHub folder and keep it current.

  • CLI and SDK

    Author tools in your IDE, deploy from a branch.

  • Spend visibility

    Token cost per channel and skill.

  • Tool versioning

    Edits return to draft with a source snapshot.

  • Report handoff

    Long answers become an Artifacts link.

One agent, scoped to every team and person.

Set workspace defaults, give each channel its own context and tools, then reserve sensitive capabilities for specific signed-in users. A get-financials tool can stay CEO/CFO-only, even in a shared channel.

What Zenitya Agent can be configured at workspace, channel, and individual user levels
settingworkspace defaultper channelper userwhat it means
Model and provideryesyesnoAnthropic, OpenAI, Gemini, OpenRouter, or self-hosted, with its own key.
InstructionsyesyesnoPlace-specific system prompt; the channel's is appended to the org's.
SkillsyesyesnoGlobal skills are visible everywhere; channel skills stay in their channel.
Tools and connectionsyesyesyesKeep get-financials available only to named users, such as the CEO and CFO.
MemoryyesyesnoDurable facts follow the scope. Readable, editable, and deletable.
SchedulesnoyesnoA schedule runs in the channel that owns it, with that channel's runtime.
Response policyyesyesnoMention-only by default; keyword-gated ambient replies where you want them.
Write approvalsyesnonoState-changing tool calls always show their payload and wait for a human.

Teach it once. Let it keep working.

Show it how your business handles one recurring job. It learns the process, uses the right tools, and runs it again in the background.

What teams ask first.

What is Zenitya Agent?

An agent that learns how your business works and keeps useful work running. Bring it into a channel and it can use your approved tools, learned processes, schedules, and memory while people stay in control of access and writes.

How is it different from a Slack chatbot?

A chatbot answers a message. Zenitya Agent carries workspace state: reusable skills, scheduled runs, per-channel memory, sandboxed tools, and an audit row per turn. It is configured like a system, not prompted like a toy.

What is a skill, and who creates it?

A reusable instruction set the agent loads on demand. Write one in the console, sync a folder from GitHub, or ask the agent to save what it just did. Skills are global or scoped to a single channel.

Can it schedule its own work?

Yes. Ask in the thread and it proposes the cron and the skill. Creating the schedule is a write, so it shows the payload and waits for approval. Each run posts back in the same channel.

What does it remember, and can we delete it?

Facts learned in a channel stay in that channel, with a link to the message they came from. Every entry is listed in the console and can be edited or deleted.

Is it safe to let an agent write its own tools?

The draft is the boundary. Agent-written tools never execute until a human reads the source, binds the declared secrets, and enables them. Execution happens in a container with a read-only filesystem and no network unless the reviewed manifest asks for it.

Which models can we use?

Anthropic, OpenAI, Gemini, OpenRouter, or a self-hosted / open-weight endpoint, with your own keys. Set a workspace default and override it per channel or per skill.

How do you stop it reaching the wrong systems?

Access can be assigned at the workspace or channel level, then narrowed to named console users. A tool such as get-financials can remain available only to the CEO and CFO, even inside a shared channel.

Does it respond to every message?

No. Mention-only by default, including inside threads it is already part of. Ambient replies can be enabled per channel behind keyword rules.

Does it work in Discord or Teams?

Slack, Discord, and other chat surfaces are adapters over one runtime. Each surface inherits the same skills, schedules, memory, tools, and access rules.