Recall before editing
Ask Bilinc for prior architecture decisions, product constraints, and known incidents before changing code.
For coding agents
Give coding agents memory that survives the tab, branch, and sprint.
Bilinc Cloud lets repo-aware agents recall previous decisions, commit useful outcomes, and keep a recoverable audit trail around engineering work.
Workflow
The memory contract is simple.
Commit after a sprint
Save durable outcomes, files changed, verification results, and remaining caveats.
Use stable keys
Prefer namespaced keys such as project.status, sprint.outcome, incident.summary, and user.preference.
Keep secrets out
Never commit API keys, cookies, raw tokens, or private env values into memory.
Hosted Cloud adapter
{
"mcpServers": {
"bilinc": {
"command": "python",
"args": ["-m", "bilinc.cloud_mcp"],
"env": { "BILINC_API_KEY": "bil_live_..." }
}
}
}Use the same memory boundary across tools.
Codex
Use Bilinc as a durable memory/state plane across long engineering threads.
Claude Code
Attach Bilinc through the Cloud MCP adapter and recall project context before edits.
Cursor
Use SDK or MCP workflows when coding sessions need durable project memory.
What is Bilinc for coding agents?
Bilinc is a hosted memory/state layer for autonomous coding agents. It provides a cloud-only Python SDK, CLI, and MCP adapter so agents can commit durable memory, recall prior decisions, and preserve verified sprint outcomes without relying on chat context alone.