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.
Make a decision about Jitera
- Already use it? Add Jitera to Stack Autopsy — check cost, overlap and safe cancellations.
- Thinking about buying it? Ask AI Advisor — compare fit, alternatives and trade-offs.
- Want to leave it? Find a replacement — see feature losses and migration risks.
Pricing
- Free: $0 per month. Includes AI chat, custom agents, context memory, limited AI models, agent automations, agent skills, real-time collaboration, app integration, 15 credits, up to 1 team, up to 3 members, and two-factor authentication.
- Pro: $40 per seat per month. Includes everything in Free, plus unlimited frontier AI models, Jitera API / MCP server access, 1,000 credits per seat per month, up to 10 teams, and unlimited members.
- Max: $100 per seat per month. Includes everything in Pro, plus Plan mode, 2,500 credits per seat per month, and unlimited teams.
- Enterprise: Custom pricing. Includes everything in Max, plus dynamic document, audit log, AI model access control, single sign-on, IP restriction, organization usage analytics, self-host support, custom AI model residency, custom credits on demand, and dedicated support.
Features
- 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.
Use cases
- Product and engineering teams: Using agents for specs, code-aware discussions, and keeping decisions linked to repos and tickets.
- Customer support and success teams: Drafting replies, summarizing conversations, and consulting policies stored in the workspace.
- Operations and project managers: Automating recurring check-ins, updates, and status documents across multiple tools.
- Consultancies and agencies: Standardizing research, deliverables, and approvals across client projects.
- Uncommon Use Cases: Adopted by compliance or risk teams to keep decision trails auditable; used by HR or enablement teams to answer employee questions from up-to-date internal knowledge.