$ loading_
Give AI coding agents persistent memory and enforced rules to avoid repeated mistakes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ContextEngine" yet — see the docs or source repo.
Save these key development rules into ContextEngine: all Python code must pass black and ruff; every new API must include unit tests; never modify production database schemas directly. Enforce these rules whenever you generate or edit code.
The tool stores the project rules and continuously reminds and constrains the AI to follow them in future code generation.
Record this debugging conclusion in ContextEngine: the deployment failed because an environment variable name was incorrect. In future CI configuration changes, verify the variable list first and check naming consistency before proposing changes.
The tool remembers this incident and proactively avoids the same mistake in future CI or deployment tasks.
Set long-term constraints in ContextEngine: do not delete files, overwrite config files, or run destructive database operations without my approval; for high-risk changes, provide a risk summary and rollback plan first.
The tool establishes durable execution boundaries for the AI agent, reducing risk from automated changes.
Give AI coding agents persistent memory for project context and decisions.
Give coding agents persistent, evidence-backed project memory across sessions.
Give AI coding agents persistent memory across sessions for decisions and debugging context.
Give AI coding agents persistent local shared memory across agents.
Provide persistent memory for AI agents across sessions and tasks.
Give AI coding agents searchable local project memory with safe structured updates.