Research-grade cognitive development operating layer. Powered by Rust, featuring an execution graph engine, sandbox virtualization, and repository health telemetry.
Every layer of LocalFlow IDE is meticulously engineered from the ground up.
Represents operations as a parallel execution DAG with dependency resolution, failure tracing, and rollback lineage.
Maintains a live queryable graph of all codebase files, symbols, modules, APIs, and tests for repository cognition.
Analyzes build/lint/test failures and monitors runtime CPU, GPU, and RAM pressure to predict regression risks.
Automatic recovery, snapshot restoration, transaction rollback, and checkpoint restoration with human approval gates.
Persists codebase conventions, past bug fixes, specific architectural decisions, and individual developer preferences.
Tracks actual token consumption, call latencies, local RAM/VRAM footprints, provider costs, and energy offsets.
Tracks and forecasts architecture and dependency evolution to identify rising technical debt and upgrade risks.
Simulates proposed execution pipelines prior to disk writes to evaluate build impact and security parameters.
Guarantees all claims of resolution with rigorous traceable evidence including test runs, build logs, and linter outputs.
Dynamically routes prompts to optimal local models or API providers based on size, cost, and task complexity.
Monitors process boundaries, filesystem sandboxing, network access, and secret containment in real-time.
Runs commands in isolated ephemeral environments featuring network and filesystem virtualization.
A meticulously hand-crafted, ground-up systems architecture by Zeroday.
Pre-executes code plans to estimate build and security impact.
Resolves dependencies and runs steps in parallel with rollback lineage.
Executes commands in isolated filesystem & network sandboxes.
Indexes repository dependencies and structures for precise traversal.
Multi-model voting (Planner, Reviewer, Verifier) for code safety.
Compiles and runs automated test/lint validations automatically.
Restores snapshots and rolls back changes upon any verification failure.
Elevating agentic development with explainability, multi-model consensus, and resource governance.
Enforces strict agreement thresholds across Planner, Reviewer, and Verifier models to detect architectural conflicts and compute consensus confidence scores.
Fully inspect the cognitive stack. Visualizes the telemetry path showing exactly why a model was routed, why an agent was assigned, and why alternatives were rejected.
Computes multi-dimensional health metrics across codebase complexity, technical debt trends, test coverage, security postures, and build success rates.
Monitors hardware footprints, counting token cost, execution latency, RAM/VRAM usage, provider pricing, and estimated carbon/energy offsets.
Tracks evolution across your codebase: architecture drift, package dependency updates, complexity growth, and future maintainability warnings.
Maintains an active knowledge layer storing developer style preferences, typical bug patterns, past file edits, and specific repository layout conventions.
Download the native Windows executable or clone the source to build your own.