Jennefer is a desktop app where specialist AI agents plan, write, and review your code on local models. Nothing ships until you approve it.
Local modelsRuns on your machine. Your code never leaves it.
Specialist agentsA planner, a coder, and a reviewer working as one team.
You decideEvery change waits for your approval.
Build a login page for my app. Email and password, nothing fancy.
No changes yet.
Agents propose. You decide.
Agent routing
Select a task to see which specialist handles it and why.
Implement the new OAuth2 login flow in the backend
Selected for the official startup program.
Accepted into the official startup program, powering agent telemetry, scalable context storage, and vector memory.
Cloud infrastructure, scalable multi-agent compute, and foundation models powered by Amazon Bedrock.
Enterprise Azure compute infrastructure and high-throughput Azure OpenAI Service access.
Secure cloud sandboxes for isolated agent code execution, testing, and development workflows.
Enterprise identity infrastructure, multi-tenant B2B access, and autonomous AI agent security.
Full product telemetry, user session recordings, and feature flag management at scale.
Graph database engine driving AST parsing, dependency mapping, and persistent agent memory.
Real-time error tracking, crash reporting, and system health monitoring across all runtimes.
Business-tier centralized workspace, technical documentation, and ecosystem architecture.
Ultra-low latency speech-to-text, text-to-speech, and voice agent infrastructure.
Event-based product analytics, session replay, and feature flag management for tracking agent performance.
Enterprise customer support, multi-channel ticketing, and AI-powered live chat integration.
Automated messaging, behavioral segmentation, and multi-channel developer onboarding workflows.
Building developer infrastructure or tooling? Integrate your stack directly into Jennefer.
Selected for the official startup program.
Accepted into the official startup program, powering agent telemetry, scalable context storage, and vector memory.
Cloud infrastructure, scalable multi-agent compute, and foundation models powered by Amazon Bedrock.
Enterprise Azure compute infrastructure and high-throughput Azure OpenAI Service access.
Secure cloud sandboxes for isolated agent code execution, testing, and development workflows.
Enterprise identity infrastructure, multi-tenant B2B access, and autonomous AI agent security.
Full product telemetry, user session recordings, and feature flag management at scale.
Graph database engine driving AST parsing, dependency mapping, and persistent agent memory.
Real-time error tracking, crash reporting, and system health monitoring across all runtimes.
Business-tier centralized workspace, technical documentation, and ecosystem architecture.
Ultra-low latency speech-to-text, text-to-speech, and voice agent infrastructure.
Event-based product analytics, session replay, and feature flag management for tracking agent performance.
Enterprise customer support, multi-channel ticketing, and AI-powered live chat integration.
Automated messaging, behavioral segmentation, and multi-channel developer onboarding workflows.
Building developer infrastructure or tooling? Integrate your stack directly into Jennefer.
04 / Features & benefits
Four things that change once your agents run on your own machine.
01 / Living loop
Describe the outcome. Specialist agents plan, design, build and test it, then a consensus gate approves the result before it reaches you.
02 / Zero per-token cost
Run unbounded agent swarms on Ollama, LM Studio or llama.cpp. No cloud rates, no rate limits, no surprise bills.
0
Every request is billed.
0
Generating on your hardware. No meter.
03 / Offline-first
Local models keep working when the network goes away. Zero cost, unlimited generations, nothing waiting on a connection.
Wi-Fi
Connected to studio network
Models on this device
agent > idle
04 / Private by design
Your code and ideas never touch remote servers. Loopback isolation blocks remote context indexing and model-training leaks.
Task decomposition, dependency scheduling & agent consensus.
Translates high-level prompts into deterministic tech specs.
Context-aware implementation and AST code mutations.
Generates edge cases, fuzzing and unit test matrices.
Enforces code standards, security audits & PR diff approval.
Local runtime isolation, dependency builds & migrations.
Tailwind tokens, CSS variables & design system sync.
Directs parallel execution threads across available models.
Task decomposition, dependency scheduling & agent consensus.
Translates high-level prompts into deterministic tech specs.
Context-aware implementation and AST code mutations.
Generates edge cases, fuzzing and unit test matrices.
Enforces code standards, security audits & PR diff approval.
Local runtime isolation, dependency builds & migrations.
Tailwind tokens, CSS variables & design system sync.
Directs parallel execution threads across available models.
Task decomposition, dependency scheduling & agent consensus.
Translates high-level prompts into deterministic tech specs.
Context-aware implementation and AST code mutations.
Generates edge cases, fuzzing and unit test matrices.
Enforces code standards, security audits & PR diff approval.
Local runtime isolation, dependency builds & migrations.
Tailwind tokens, CSS variables & design system sync.
Directs parallel execution threads across available models.
Field note / The squad, in person
Meet Pixel, Loop, Byte, and Patch, the Nefers. They plan, build, and review inside Jennefer, and they have opinions about all of it.
06 / The essentials
A private development environment designed around real engineering work.
Execute unbounded autonomous agent swarms running on your hardware with Ollama, LM Studio, or llama.cpp. No cloud rates, no monthly surprise bills.
Your IP and proprietary codebase never touch remote servers. Hardware-enforced loopback isolation prevents model training leaks and remote context indexing.
Compose, orchestrate, and debug complex multi-role workflows visually. Drag-and-drop triggers, consensus gates, and automated test loops.
Supervisors delegate to Architects, Developers, and QA engineers simultaneously. Each role handles specialized scopes with verifiable handoffs.
Jennefer began with a simple conviction: powerful development tools should give teams more control over their work, their infrastructure, and their ideas.
Tell us about your team. We will be in touch when access opens.
