Stop rebuilding context every session.
Fsidecar is a deterministic memory and execution layer for AI-assisted development. It keeps your project aligned across days, sessions, tools, and coding agents — without cloud lock-in, hidden learning, or context drift.
PS C:\Dev\Projects\fsidecar> sidecar ask [WORKFLOW] Injection pipeline active [PROJECT] fsidecar [MEMORY] Durable decisions restored • Current work focus loaded • Recent changes prioritized • Governance rules injected • Project-scoped retrieval active Result: LLM context aligned without re-explaining.
Deterministic Memory
Fsidecar stores durable intent — not random chat history. Every memory is reviewable, explainable, editable, and project-scoped.
Work Focus
Select active files and project areas so retrieval stays relevant. Reduce token waste and stop drowning the model in unrelated context.
Patch Execution
Future execution workflows move from “rewrite entire file” to structured deterministic patching with preview, diffing, validation, and rollback safety.
Local-First
SQLite-backed. User-owned. No cloud dependency. Your project memory stays on your machine and under your control.
Governed Injection
Prompt injection is visible and deterministic. You can inspect exactly what was injected, why it was selected, and in what order.
Built for Real Work
Designed for long-running development workflows where AI tools lose continuity, forget architectural decisions, and create expensive drift.
Get in before public launch.
One-time early access pricing during stabilization phase. Future pricing will increase as execution workflows, verification layers, and deeper IDE integrations arrive.
- Local memory engine
- Project-scoped retrieval
- Work Focus system
- Deterministic injection
- Patch execution preview
- Early feature access
Why this exists
Modern AI coding workflows break down because context continuously collapses. Developers repeatedly rebuild architectural state, explain old decisions again, and fight retrieval drift every session.
Fsidecar exists to restore continuity of thought across AI-assisted development.
The long-term direction is larger than memory: a governed local execution layer capable of helping developers diagnose, plan, verify, and safely apply changes without surrendering ownership or determinism.