You already use AI to code. Now give it a job.
Cursor helps you write code. Copilot autocompletes it. Navique gives your AI agents actual responsibilities — reviewing every PR, triaging every issue, running test suites overnight, documenting changes, and reporting back. Not a copilot. A team.
You have a copilot. You need a crew.
Your AI tools react. They wait for you to ask, answer one question, and forget. They don't know what happened in yesterday's PR. They can't watch your deploys. They can't run at 2am while you sleep.
Agents with actual responsibilities.
Configure them once. They run on schedules — hourly, daily, on every push — doing real developer work. No prompting. No babysitting. Results waiting in your dashboard.
30 pre-built templates across 4 tiers — Frontier · Smart · Balanced · Fast
Your agent. Your rules. Your tools.
Start from one of 30 templates or build from scratch. Every aspect is configurable through Navique's visual interface — no TOML files, no terminal commands, no code.
PR Security Auditor
Custom Agent · Frontier Tier
Claude Sonnet 4.6
Fallback: Gemini 2.5 Flash → GPT-4o
file_read, file_list, web_fetch, shell_exec, memory_recall
5 of 38 tools enabled
security-audit, code-reviewer, git-expert, oauth-expert
4 of 60 skills assigned
Shared (team namespace)
Reads from all agents, writes to security scope
0 2 * * *
Every day at 2:00 AM
$2.00/day cap
Alert at 80% · Current: $0.43 today
One agent is useful. A pipeline is a superpower.
Chain agents into workflows. Your architect designs the approach. Your coder writes it. Your reviewer catches the bugs. Your test engineer validates. Your doc writer updates the reference. All coordinated automatically.
git push to main
trigger
Code Review Agent
analyzing 14 changed files...
Test Agent
generating 23 edge-case tests...
Docs Agent
updating API reference for 4 endpoints...
Pipeline Complete
3 review comments, 23 tests added, docs updated
Write the task. Assign the agent. Walk away.
This is where project management meets autonomous AI. Every task on your board is a potential agent assignment.
You're looking at your Kanban board. There's a task: “Write integration tests for the new payment webhook.” Normally you'd block out an hour, context switch into the test harness, and grind through it.
Instead, you click Assign to Agent. You pick your Test Engineer agent. It reads the task description, opens the checklist items, and starts working through them — one by one, autonomously.
You come back to a completed task, a passing test suite, and your afternoon back.
Write integration tests for payment webhook
Assigned to: Test Engineer
18 tests generated across 3 test files. All passing. Coverage for payment_webhook.ts: 72% → 94%. 2 edge cases flagged a missing null check in handleRefund() — fix suggestion attached.
After a month, they know your codebase.
Every conversation, every decision, every codebase pattern — your agents build a knowledge graph that connects it all. Connected intelligence that compounds over time.
When one agent learns something, every other agent has access to it immediately. Your researcher's findings inform your coder's context. Your architect's decisions guide your reviewer's standards.
Instant Recall
Millisecond retrieval across all sessions
Knowledge Graph
Entities, relations, semantic search
Shared Intelligence
Cross-agent knowledge sharing
Vault Integration
Obsidian-compatible, human-editable
Your models. Your rules.
Assign different models to different agents. Claude for your architect. GPT-4o for your reviewer. Llama via Ollama for anything that should never leave your machine.
$0
Platform Cost
Bring your own API keys
Real-time cost tracking per agent, per model. Budget caps and alerts.
Not just smart. Capable.
Your agents don't just think — they act. Read and write files, execute shell commands, search the web, automate browsers, build knowledge graphs, communicate across 40 messaging platforms.
Powerful agents. Accountable agents.
Your agents have real power — filesystem access, shell execution, web requests. What makes them trustworthy is 16 independent security layers ensuring every action is audited and every sensitive operation requires your approval.
Tamper-Proof Audit Trail
Every agent action is recorded in a Merkle hash-chain. Modify a single entry and the entire chain breaks. You always know exactly what happened, when, and why.
Approval Gates
Agents ask before doing anything you mark as sensitive — deploying, deleting, spending, modifying infrastructure. Nothing destructive happens without your explicit approval.
Taint Tracking & Signed Manifests
Information flow labels propagate through execution — secrets are tracked from source to sink. Every agent identity and capability set is cryptographically signed with Ed25519.
Your Machine, Your Data
Everything runs locally. Your code, credentials, and conversation history never touch our servers. The only external calls are the ones you authorize to your chosen AI providers.
Plus: WASM-metered tool execution · Prompt injection scanning · SSRF protection · Secret zeroization · Capability-based access · Loop detection with circuit breakers · Path traversal prevention · Session repair · Rate limiting
What ships while you sleep.
Developers using Navique's agent workflows are waking up to completed work. Every morning. Automatically.
6 PRs reviewed
With line-by-line comments and quality scores
47 tests generated
For yesterday's auth refactor — all passing
12 issues triaged
Severity assigned, owners suggested, linked to PRs
API docs updated
4 new endpoints documented from merged PRs
Weekly insight ready
Commits, velocity, costs, blockers — summarized
$0.43 spent
Total agent cost for the night — tracked per model
All configured through the Navique GUI. No config files. No terminal setup. Point, click, schedule.
Give Your AI
A Job.
7-day free trial. The full engine. No credit card. No limits. Then $99 to own it forever.
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