ForgeCode Services
ForgeCode Services is the runtime layer that helps the model stay on trajectory while it explores, edits, and executes tools.
What it does
These are the most visible capabilities, not the full feature set.
- Context engine: Beats SOTA across retrieval benchmarks, uses up to 93% fewer tokens, and stays fast while starting the agent in the most relevant files and functions.
- Tool-call guardrails: Catches invalid arguments, common tool-call mistakes, then auto-corrects them before they fail.
- Skill engine: Assists the model in choosing the right skill for the job, so task-specific guidance is applied at the right time.
There is nothing to configure here. After you enable it, it keeps running in the background.
Enable ForgeCode Services
Run:
:login
Then select ForgeServices in the provider list and complete browser authentication.
No API key required — sign in with Google or GitHub.
Enable semantic sync for your project
Run:
:sync
This indexes your project and enables sem_search.
To monitor indexing progress and see which files are being synced, run:
:sync-status
Ignoring files
Files can be ignored using Ignoring Files.
If a file is ignored, ForgeCode Services excludes it from sync, and the context engine cannot use that file for retrieval.
Verify services are active
Run:
:tools
Look for sem_search under SYSTEM.
Disable ForgeCode Services
Run:
:logout
This signs you out and disables ForgeCode Services.
To enable again later, run :login, select ForgeServices, then run :sync for the project you want indexed.
Data & Privacy
What gets sent to ForgeCode servers
When you run :sync, ForgeCode Services indexes your project on ForgeCode's servers. The indexing pipeline is:
- Chunking — your source files are split into segments
- Embedding — each chunk is converted into a vector embedding
- Storage — the original file chunk and its embedding are stored
ForgeCode stores the file content and its corresponding embedding. Nothing else.
What does not reach ForgeCode servers
Your LLM provider is configured by you and called directly from your device. Prompts, completions, and any conversation context go from your machine to your chosen LLM — they do not pass through ForgeCode's infrastructure.
How the data is used
Stored files and embeddings are used exclusively to power sem_search — retrieving the most relevant context for your queries. ForgeCode does not use your code to train models, does not sell it, and does not share it with any third party.
Deleting your synced data
Logging out (:logout) signs you out but does not delete your synced data. To remove indexed data, use the workspace commands:
:workspace
This gives you full control to inspect and delete synced workspaces. You can remove all indexed data for a project at any time.
Files you want to exclude
Use Ignoring Files to prevent specific files or directories from ever being sent to ForgeCode's servers. Ignored files are excluded from sync entirely.