Jitera

Jitera is an AI workspace where teams collaborate with AI agents that actually know how the organization works. It turns code, documents, decisions, and tribal knowledge into shared context, so agents and humans work from the same source of truth. Instead of every person running isolated chats, Jitera keeps conversations, automations, and documents together, so AI behaves more like a knowledgeable teammate than a one-off tool.

• Shared context map: Visual graph of teams, projects, decisions, and resources that agents use to stay aligned with organizational structure.
• Team-in-the-loop agents: Agents follow chat threads, co-edit docs, and ask humans for confirmation before acting, reducing bad guesses and surprises.
• Multi-LLM custom agents: Support for leading models such as GPT, Claude, and Gemini, with per-agent instructions, tools, and skills.
• Automations and integrations: Recurring workflows, multi-step pipelines, and connections to tools like GitHub, Notion, Linear, Jira, and Slack.
• Credit-based scaling: Free tier for trials, then higher tiers with more credits per seat as usage grows.
• Real-time collaboration: Humans and agents share threads and documents, keeping AI outputs visible and reviewable by the whole team.
• Per-agent models, skills, and permissions: Design agents with tailored capabilities and access levels to match different workflows, from coding to operations.

1. Create a workspace and team: Sign up on Jitera’s website, set up your organization, and invite team members.
2. Connect knowledge sources: Link your documents, code repositories, and project boards (e.g., GitHub, Notion, Jira) to build the shared context map.
3. Configure AI agents: Choose LLMs (GPT, Claude, Gemini), define per-agent instructions, skills, and permissions aligned with your workflows.
4. Start collaborative sessions: Use real-time threads where humans and agents discuss tasks, co-edit documents, and ask for confirmations before taking action.
5. Set up automations: Design recurring multi-step pipelines for updates, check-ins, or status reports that run across integrated tools.
6. Monitor credits and usage: Track credit consumption per seat and adjust plans as your team scales or workloads change.

Jitera offers a freemium model with a free tier and paid subscriptions that scale credits, teams, and enterprise features. The Free plan includes basic AI chat, custom agents, limited models, and 15 credits per month for up to 3 members. Pro ($40 per seat/month) unlocks unlimited frontier AI models, 1,000 credits per seat, API access, and up to 10 teams. Max ($100 per seat/month) adds Plan mode, 2,500 credits per seat, and unlimited teams. Enterprise plans provide dynamic documents, audit logs, SSO, IP restrictions, self-host support, and custom credits. Please note that pricing information may not be up to date—check the official Jitera website for current details.

• Web application: Core workspace accessible from modern browsers for all collaboration, agent management, and automations.
• API / MCP server access: Available on Pro and higher plans, enabling custom integrations and agent interactions programmatically.
• Mobile-friendly interface: While primarily a web app, the interface is responsive for on-the-go access from mobile devices.
• Integrations ecosystem: Connects with GitHub, Notion, Linear, Jira, Slack, and other popular tools through built-in connectors.

• Invest in your knowledge base: Organize and maintain up-to-date documents; the agent’s quality depends heavily on the shared context.
• Start with clear agent instructions: Write precise prompts and constraints for each custom agent to avoid off-target responses.
• Use approval workflows: Enable confirmations before agents send messages or make changes in integrated tools to keep human oversight.
• Group related projects into teams: Structure the workspace logically so the context map accurately reflects roles, projects, and resources.
• Monitor credit usage: Set alerts or periodic reviews on credit consumption to optimize cost, especially when scaling.
• Combine automation with manual review: For critical workflows, combine scheduled automations with periodic human checks to ensure accuracy.

• Product and engineering teams who need code-aware discussions, spec drafting, and decision tracking linked to repositories.
• Customer support and success teams that want to draft consistent replies and access internal policies without leaving the workspace.
• Operations and project managers looking to automate recurring status updates and cross-tool reporting.
• Consultancies and agencies aiming to standardize client deliverables, research, and approval processes.
• Compliance and risk teams seeking auditable decision trails grounded in up-to-date organizational knowledge.
• Organizations moving from isolated AI chats to a shared, collaborative environment where context spans the entire company.