build with the world's most frontier models in one unified workspace

Picks up where
you left off,
every time.

Stop re-explaining where your project stands. Switch from Claude to GPT to Gemini mid-project — MockingBird carries the context so you don't have to.

MOCKINGBIRDclaude opus 4.8

switch to gemini, keep going

workspace context carried · 3 files, 2 pinned notes

gemini 3.1 pro

Picking up from the pricing decision — want me to update the Pro tier copy too?

trusted by

Forkhive Technologies

Forkhive Technologies

THE ONE THING THAT MATTERS

Every pin, every switch, every model —
one continuous thread of context.

claudegptgeminideepseek

one context, carried through every switch

Every switch costs you the whole project.

One tool for one model. Another tab for a different one. A new chat every time you switch — and none of them remember what you were building. You re-explain the architecture, restate your conventions, and rebuild context you already handed over last week. Raw model access stopped being the hard part a while ago. Not losing your place is.

Context fragmentation

A new chat means starting over — restating the project from scratch.

Model fragmentation

Different models suit different tasks, but switching between them breaks your flow.

No durable memory

Architecture decisions, conventions, and prior reasoning don't carry forward.

context that never resets

Pin what matters. It follows the project everywhere.

Add costEstimate and costActual fields to RunLoopStep, build pricing module with model rates, calculate at step creation and update after execution. Surface running total + per-step costs in UI.

[context] note pinned · workspace context updated

Pin any message and MockingBird folds it into workspace context — visible to every model, in every future chat, on this project.

Route work to whichever model fits the task. If a provider goes down mid-chat, MockingBird falls back automatically — same context, same thread.

context persists across

No favorites. Every model reads the same thread.

claude
opus 4.8
claude
sonnet 4.6
gpt
5.5
gpt
5.4
gemini
3.1 pro
deepseek
v4 pro
42  function renderPanel(ctx) {
-   return ctx.raw;
+   return sanitize(ctx.raw, ctx.model);
44  }

Agentic File Access

The model reads, searches, and edits your codebase in one pass — reviewed before anything lands.

Task Queuepreview
extract shared save-state logic into a reusable component
add rate limiting to the workspace pin endpoint
write integration tests for the multi-tool resume flow
compare ChatContext.tsx and ModelContext.tsx and align their hook shapes

Builder mode

Describe what you want built. MockingBird plans the steps, executes them, and commits per step.

sudo mode

Sudo mode

Skip the review step once you trust the pipeline — edits apply the moment they're proposed.

/model gemini-3.1-pro

/workspace mockingbird-web

/context

Slash commands

/clear, /model, /workspace, /context — quick control without leaving chat.

mockingbird-web/

→ 12 conversations

→ 6 pinned notes

Workspace scoping

Conversations, context, and file references stay scoped to the workspace you're actually in.

always aware, never asked

A new chat that already knows the last three.

NEW CONVERSATION

✕  pricing-copy-edits

✕  auth-middleware-refactor

✕  rate-limiter-setup

→ new thread, fully aware

[history] last 3 conversations loaded · cached

Start a fresh conversation in a workspace and MockingBird already knows what was discussed in your last three — no pinning, no summarizing, nothing to ask for.

Architecture decisions, active tasks, conventions you follow, choices made in earlier conversations — MockingBird keeps a structured, durable understanding of the project itself, not just whatever's in the current chat.

persistent workspace memory

Your project, remembered — not just this thread.

MockingBird
see chats668 chars
A unified AI coding assistant — VS Code extension + companion web studio — where developers chat with Claude, GPT, Gemini, and DeepSeek through one interface, with shared context that travels across model switches and across conversations in the same workspace.
668 / 2000

persistent identity context

It learns how you work, not just what you're building.

AI Identity Context

This is injected as a system prompt into every conversation — across all models.

I prefer terse, direct answers — skip the preamble, get to the point. I write my own backend logic and review UI code rather than writing it myself. Comment sparingly, only where intent isn't obvious from the code itself. When explaining something, use a concrete example before the abstract explanation, not after.
342 / 1000

Stable preferences — code style, documentation habits, how you like things explained — carry across every workspace. Less repeating yourself in every new chat, more of it just already knowing.

One context. Best models.
No more fragmented coding.