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How to Fix “Agent Terminated Due to Error” in Antigravity (Real-World Debug Checklist)

basanta sapkota

Ever had Antigravity stare at your repo like it’s thinking really hard… then slap you with “Agent execution terminated due to an error” and absolutely nothing else?

No stack trace.And clue. Just the software version of a blank look.

I’ve bumped into this failure pattern across agent IDEs more times than I’d like to admit. And nine times out of ten, it’s one of three buckets:

Bad state. Too much context. Or a tool/model mismatch.

So let’s stop guessing and pin it down fast.

Key takeaways for fixing “Agent terminated due to error”

If you just want the “do this first” version, here you go:

  • Start cheap. Retry once, then new conversation, then switch models. When capacity is flaky, this weirdly works.
  • If it began “out of nowhere,” do the hard onboarding reset and re-auth.
  • Using MCP tools? Turn off every MCP server first. Then bring them back one by one until it breaks again.
  • Watch out for Claude + certain MCP tools conflicts. A known example is Firebase MCP Tool #15 functions_get_logs.
  • If it dies right after “reading files,” shrink the input. Avoid giant grep outputs, huge files, and mega-long MCP instructions.
  • If you’re still stuck, do a full local reset and test in a clean workspace.

Why this error happens in Antigravity

This message is basically a smoke alarm. It tells you something burned, not what burned.

From what people are reporting publicly, the causes usually fall into these clusters.

1) The model got way too much context

One Reddit report noticed a pattern. Antigravity would read files for a bit, then terminate. They could reproduce it when the model was fed too much input, like:

  • MCP server instructions are extremely long
  • a grep returning more than 1000 results
  • reading a very large file all at once

Source
https://www.reddit.com/r/Bard/comments/1ph6g7d/antigravity_agent_terminated_due_to_error_you_can/

And here’s the annoying part. Even when Antigravity doesn’t say “context length exceeded,” it can still look like this. The orchestration layer just falls over and you get the “terminated” message. Cool.

2) MCP server or tool conflicts, especially with certain models

There’s at least one clean, documented incompatibility.

A Google AI Developers Forum bug report says Claude models fail immediately when Firebase MCP Tool #15 is enabled. Gemini models keep working. Turning tool off fixed it right away for the reporter.

Source
https://discuss.ai.google.dev/t/bug-in-google-antigravity-claude-models-fail-with-agent-execution-terminated-error-when-firebase-mcp-tool-15-is-enabled/114367

If you’ve ever had a single toggle ruin your whole day… yeah. Same vibe.

3) Account-side or capacity-side issues upstream

Some folks report it’s account-specific. Same machine, same setup, one Google account works and another doesn’t. And sometimes it hits all models, not just one.

In one forum thread, people mention seeing 503 “no capacity” errors frequently during the day.

Source
https://discuss.ai.google.dev/t/agent-execution-terminated-due-to-error-only-happens-on-my-account-google-ai-ultra-plan/115757

So yes, sometimes you’re not doing anything wrong. Sometimes the backend is just having a day.

Fix “Agent terminated due to error” in Antigravity

1) Retry once, then start a new conversation

Antigravity itself suggests retrying or starting a new conversation. Totally fair. Do it… but don’t get trapped in the retry hamster wheel.

What I stick to:

  • Retry one time
  • If it fails again, start a new conversation
  • If it still dies, stop. Move to the more deterministic checks below

2) Switch models to see if it’s model-specific

This isn’t “the fix.” It’s how you figure out what kind of problem you’re dealing with.

  • If Gemini works but Claude fails, start thinking Claude + MCP/tool conflict. The Firebase Tool #15 example above is a real one.
  • If every model fails, think auth/state/account/capacity.

This lines up with reports where Gemini works while Claude/GPT variants fail in Antigravity-style setups. There’s also an MCP-related GitHub issue describing Claude/GPT failing while Gemini works.

Source
https://github.com/bgauryy/octocode-mcp/issues/257

MCP-related fixes

3) Disable all MCP servers, restart, then re-enable them one at a time

Is it glamorous? No. Does it work? Constantly.

A DEV Community post recommends the baseline move. Disable all MCP servers and restart if the error keeps happening.

Source
https://dev.to/mayu2008/antigravity-agent-terminated-due-to-error-solution-found-2h4e

A practical way to do it without losing your mind:

  1. Open MCP settings in Antigravity
  2. Disable all MCP servers
  3. Restart Antigravity
  4. Test with a tiny prompt like “summarize README”
  5. Turn MCP servers back on one at a time until it breaks

Once you find the offending server, leave it off and keep moving. Then file a bug with reproduction steps. That’s the stuff maintainers can actually use.

4) Using Firebase MCP with Claude? Turn off Tool #15 functions_get_logs

The forum report includes exact reproduction steps and a workaround.

  • Agent sidebar Ctrl+L
  • ... menu → MCP servers
  • Manage MCP Servers → Firebase MCP
  • Toggle OFF Tool #15 functions_get_logs
  • Try Claude again

Source (Google AI Developers Forum bug thread)
https://discuss.ai.google.dev/t/bug-in-google-antigravity-claude-models-fail-with-agent-execution-terminated-error-when-firebase-mcp-tool-15-is-enabled/114367

If your setup matches that, this is the cleanest fix I’ve seen documented so far.

Fix input-size crashes by shrinking what the agent sees

5) Don’t dump huge outputs into the context

Based on the Reddit report, the agent can terminate when it’s forced to swallow too much at once:

  • grep -R that matches half your repo
  • massive generated files
  • huge logs
  • long MCP “system instructions”

A few practical tricks I actually use in real projects because I like my tools to stay alive:

  • Use scoped searches, with limits

    rg "myFunction" src/ -n --max-count 200

  • Ask the agent to read one file or one directory instead of “scan the whole repo”

  • Exclude big junk folders like build artifacts, lockfiles, dist/, node_modules/

  • If you rely on MCP servers, keep tool responses tight using pagination or limits if the tool supports it

When the agent repeatedly dies right after “reading files,” this is where I’d put my money first.

Resetting state when Antigravity gets weird

6) Reset onboarding and re-auth

A commonly shared fix is resetting onboarding through the Command Palette.

  1. Open Command Palette Ctrl+Shift+P (or Cmd+Shift+P on macOS)
  2. Run Antigravity: Reset onboarding
  3. Follow the prompts, it may log you out and require re-auth

Source (Reddit post mentioning onboarding reset steps)
https://www.reddit.com/r/Bard/comments/1ph6g7d/antigravity_agent_terminated_due_to_error_you_can/

Even if the root cause is somewhere else, this can clear corrupted local state. And sometimes that’s all you need.

7) Full reset on Linux by wiping caches/config

If Antigravity starts acting like a broken VS Code fork, missing commands, odd extension host behavior, persistent errors, a full wipe can help.

A Medium guide recommends removing these directories on Linux:

rm -rf ~/.antigravity
rm -rf ~/.config/antigravity
rm -rf ~/.cache/antigravity
rm -rf ~/.local/share/antigravity

Then restart Antigravity like it’s a fresh install.

Source (Medium guide on fully resetting Antigravity on Linux)
https://muhammetaydinn.medium.com/fully-resetting-antigravity-vs-code-fork-on-linux-44690bee8012

On Windows/macOS, it’s the same idea. Clear app state and caches, paths just differ. Then re-auth.

When it’s account-side or capacity-side and you can’t “fix” it locally

8) Check if it’s tied to your Google account

The Google AI Developers Forum has reports where:

  • one Google account fails
  • another account works on the same machine
  • it happens across models and clean setups

Source (account-specific thread)
https://discuss.ai.google.dev/t/agent-execution-terminated-due-to-error-only-happens-on-my-account-google-ai-ultra-plan/115757

Quick test:

  • Sign out, sign in with another account (even a test one)
  • Try the same workspace and same prompt

If the error follows the account, your best moves are:

  • use the working account temporarily
  • file an in-app bug report with timestamps
  • mention whether you’re seeing HTTP 503 or capacity errors

It’s annoying. It’s also better than reinstalling your OS out of spite. Tempting, though.

Troubleshooting checklist (featured-snippet friendly)

If you want the shortest path:

  1. Switch model (Gemini ↔ Claude) to isolate model/tool issues
  2. Disable all MCP servers, restart, test
  3. If Firebase MCP + Claude, disable Tool #15 functions_get_logs
  4. Reduce context size, limit grep results, avoid huge files
  5. Command Palette → Antigravity: Reset onboarding
  6. Full reset by clearing cache/config if state seems corrupted
  7. Try another Google account to confirm account-side failure

Internal link (related reading)

If you’re doing a lot of agent-driven coding, here’s a related workflow piece:
https://www.basantasapkota026.com.np/2026/03/how-i-use-ai-react-code-review-to-catch.html

Conclusion

“Agent terminated due to error” is vague on purpose, apparently. In practice, it usually comes down to three things: too much input, an MCP/tool conflict, or account/capacity trouble upstream.

If you only do one thing today, make it this. Disable MCP servers, restart, then re-enable one by one. That’s how you turn “random breakage” into a specific cause you can actually name.

Got a reproducible trigger on your side, like a specific tool toggle, file size threshold, model combo? Drop it in the comments. That’s the kind of detail that gets bugs fixed.

Sources

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