Khala
Summary
Every time you switch from Claude to Codex, you become the messenger — copying the plan, pasting the constraints, re-explaining what was decided three minutes ago in the other tab. Khala replaces that copy-paste handoff with a direct inbox system between LLM sessions.
The vendor describes Khala as an MCP-compatible messaging layer that lets one LLM session address another by name and deliver full context — plan, thread, or artifact — without human relay. You register an inbox for each session, paste the MCP connector once, and instruct your LLM to send. The receiving session reads its inbox and picks up where the sender stopped. This holds together well for linear two-session pipelines like plan-then-build. The architecture is passive: Khala carries messages, it does not coordinate sequencing or retry failed handoffs on its own.
Bottom line: Khala earns its place in a solo Claude-to-Codex pipeline where re-briefing is the daily tax — but teams whose workflows branch across more than two sessions, or who need the handoff layer to handle retries and sequencing, will hit the ceiling of a message-delivery tool fast.
Pricing Plans
Subscription- Price
- $3.99/mo after beta
- Free Tier
- Free during public beta
Beta
Free during public beta
After beta
$3.99/mo
- Unlimited peer aliases
- Claude Code & Codex support
- Cross-session message delivery
- Shared team channels
- Claude Code auto-sync
View full pricing on khala.to →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Session-to-session context delivery over MCP, so the receiving LLM starts with the full plan already in its inbox instead of a blank context window — no re-briefing required.
- One-time MCP connector setup per session, which means you are not reconfiguring the integration each time you start a new task in the same tool.
- Named inboxes for each LLM session, so multi-session team workflows (frontend dev handing a spec to backend dev's session) can route context to the right recipient without manual coordination.
- Works across different LLM tools in the same pipeline — Claude hands off to Codex, ChatGPT to Claude — so you are not locked into a single vendor's ecosystem to get cross-session continuity.
- Passive architecture means there is no autonomous agent making decisions on your behalf; every handoff is triggered by an explicit instruction to the sending LLM, so you stay in control of when context moves.
Cons
Sign in to edit- Khala delivers messages but does not sequence them: if the receiving session never reads its inbox, or reads it out of order, there is no retry or error signal. Pipelines with more than two sessions in sequence require you to manually verify each handoff landed — at three or four sessions, this monitoring overhead erases the time saved.
- No self-hosted option exists per the vendor page, which means teams with data residency requirements or policies against third-party context storage cannot use the tool and will route around it with a local MCP-compatible alternative or a shared context file in their own infrastructure.
- The tool has no conditional routing: it carries what you tell it to carry, to the inbox you name. Workflows that need the handoff target or content to change based on what the previous session returned require you to build that branching logic in a separate layer — at which point Khala becomes one component in a larger system you are maintaining independently.
- Teams that outgrow two-session linear pipelines and need agents coordinating dynamically — branching on output, spawning sub-tasks, managing parallel execution — will find Khala's messenger model insufficient and move to a dedicated agent-orchestration platform.
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About
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-24T08:01:41.352Z
Best For
Who it's for
- AI agent workflows
- Cross-session LLM continuity
- Claude Code users
What it does well
- Connecting LLM sessions across workflows
- Sharing context between AI agents
- Team collaboration on AI channels
Integrations
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Frequently Asked Questions
- Is Khala free?
- Khala has a permanent free tier alongside paid upgrades (paid plans from $3.99/mo after beta). You can keep using a baseline version indefinitely without paying.
- Is Khala open source?
- No — Khala is a closed-source tool. Source code is not publicly available.
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Curated lists that include this category
Context loss at the session boundary is the failure Khala targets directly. The tool works as a named-inbox message broker built on MCP: each LLM session — Claude, Codex, Cursor, or any MCP-compatible client — registers an inbox, and one session can address another by inbox name to deliver a full context payload. The sending LLM composes the handoff, Khala delivers it, and the receiving session reads its inbox and continues without re-briefing. The vendor describes the setup as a one-time paste of an MCP connector per session.
The differentiating mechanic is that the handoff is session-to-session rather than user-to-session. Where every other approach puts you in the middle — you copy the output, you open the new tab, you paste and re-explain — Khala makes the sending LLM the actor. That removes a class of transcription errors and the cognitive load of maintaining context across tools simultaneously.
Khala fits solo developers running parallel specialist sessions (planning in one tool, building in another) and small teams where one engineer’s session needs to hand structured context to a teammate’s session without a meeting or a shared doc. The tool is passive by design: it delivers messages but does not sequence tasks, enforce ordering, or recover from a session that never reads its inbox. Workflows that require branching logic, conditional routing based on session output, or any autonomous coordination between sessions are outside what Khala does — those require a separate orchestration layer on top.
The vendor states compatibility with Claude, Codex, Cursor, and Antigravity via MCP. No self-hosted option is described on the vendor page. The service is free during beta; paid access is a future state the vendor has flagged.