The coordination gap

AI writes code faster than teams can preserve understanding.

Speed is only useful when architecture, intent, and accountability move with it.

01

Kaplira remembered this project, with 81 dossiers, 81 active protections, and 27 summarized runs.

Context dies between runs

Every session re-reads the repository and re-derives decisions you already made — and pays for it in tokens each time.

02

Kaplira intervention showing index.html blocked for being outside the authorized file contract, with no change applied.

Scope drifts quietly

Nothing tells an agent where a task ends, so a focused fix turns into a rewrite nobody asked for.

03

Kaplira Radar Inspection showing architecture health scored 27 and weak, with 11 structural risks led by cyclic dependencies between repository modules.

Architecture erodes while green

The build passes and the tests pass, but the boundaries you designed stopped existing three sessions ago.

The governed loop

From repository to trusted outcome.

Every run has a visible before, a bounded path, and an evidence-backed after.

The Kaplira technical canvas showing imported repository blocks, linked flows, and computed impact — Technical canvasRepository structure, ownership, and impact in one technical map.

The Kaplira knowledge memory view with active protections, known issues, and unresolved risks linked to the files of a past run — KnowledgeWhat the project already learned about the code you are about to change.

A live Kaplira run inspector showing the scoped files, affected block, and governed execution plan — Run contractThe files, impact, and plan bound to the same governed run.

The Kaplira changes ledger beside a run representation comparing the project before and after the run, with preserved behaviour highlighted — Changed flowWhat the run changed, and what it was careful to leave standing.

Operational cockpit

Read the system. Route the next move.

Health is useful only when it changes what happens next. Kaplira keeps the current condition of the codebase beside the governed work acting on it.

Kaplira project radar scoring architecture, security, test evidence, knowledge continuity, runtime, and code health — 01A / Radar overviewRead the whole system at a glance.
Architecture, evidence, continuity, runtime, code health, and security stay visible in one operational instrument.

Kaplira radar inspection for Knowledge Continuity showing its score, confidence, warnings, evidence reading, score composition, and suggested next move — 01B / Radar inspectionOpen the score. Read the evidence.
Select a radar dimension to inspect what changed the score, which files support the reading, and what the project should do next.

Kaplira Agent Work showing five active governed runs with status, affected blocks, files, elapsed time, and implementation progress — 02A / Active runsSee every run already in motion.
Open, completed, and suggested work stay visible as the agent portfolio moves through governed execution.

Kaplira activity detail for one completed run, cycling through its execution steps, ten changed files, and the eight architecture blocks it affected, with the run list still in view — 02B / Run detailOpen one run without losing its boundaries.
Execution, changed files, and affected blocks open beside the run list, so you can read how far one run reached without leaving the rest of the work behind.

Verified intervention history

See what the agent was not allowed to break.

Governed interventions record blocked scope expansion, missing plans, validation stops, and repeated attempts with the reason, safeguard, evidence, and result.

160evidence-backed safeguards

Kaplira Interventions view showing 160 recorded interventions across protections, guidance, memory, rules, and recoveries with evidence-linked receipts — 03 / Intervention receiptsPrevention leaves evidence, not just a warning.
The cockpit records what was stopped, why it was unsafe, which safeguard applied, and whether any change reached the codebase.

Technical map

Follow the repository before changing it.

Inspect implementation structure, ownership, tests, and computed impact before an agent changes the code.

RelayOps technical architecture showing imported blocks, linked flows, and the computed impact map for the webhook trust rule — 04 / Technical mapFollow implementation through the repository.
Technical blocks connect to files, tests, ownership, and computed impact without losing repository context.

Kaplira relation properties for Cockpit Service and OpenAI Adapter, including linked files, symbols, computed impact, identity, and notes — 05 / Relation evidenceEven the edges carry evidence.
A relationship is inspectable: linked files, risk level, affected blocks, tests, semantics, and notes travel with the connection.

From run to memory

Every run becomes evidence before it becomes memory.

Not another activity log. Kaplira connects the declared result, the before-and-after transition, and the project memory that survives the session.

01 / Keep the proof

The result stays inspectable.

The run record keeps the declared outcome, touched files, validations, risks, and governance state together inside project history. Portable evidence receipts are being hardened on top of this local record.

Record: Outcome + evidence
Privacy: Local by default
Status: Review state retained

Kaplira Receipts ledger showing a blocked run, validation state, changed file, risk, and matching content checksum — 07 / Run evidenceThe change keeps its evidence.
Inspect the outcome, files, validation state, risks, and governance without reconstructing the run from chat history.

Kaplira changes ledger with the files a run touched, their line counts, and the diff of one file open — 08 / Files with diffEvery summary opens down to the line.
Each run in the ledger expands into the files it touched, the size of each change, and the diff behind the claim.

02 / Check the evidence

A summary you can open.

A description of a change is only useful if it can be checked. Every run in the ledger expands into the files it touched, how much of each one moved, and the diff itself — without leaving the record of the run.

Ledger: Every agent run
Files: Per-run diffs
Source: Line-level evidence

03 / Keep what was learned

The next run does not start from zero.

Accepted evidence becomes an active protection. Unresolved risks stay attached to the runs, blocks, and files that produced them instead of disappearing into chat history.

Changes: Retained as context
Risks: Carried forward
Evidence: Linked to source

Kaplira Construction Memory showing recent changes, unresolved risks, active protections, linked runs, and linked files — 09 / Construction memoryEvidence becomes reusable project memory.
Recent changes become protections while unresolved risks remain visible, attributable, and ready for the next governed run.

FAQ & trust

Architecture, data, and governance explained.

Straight answers on how Kaplira handles context, data, and agent autonomy.

01Where do my code and architecture stay?

The active workspace, technical index, repository graph, and run records stay on your computer. A .kap file is a portable snapshot for export, migration, or backup — not the required home of your workspace. Kaplira does not hand custody of the repository to a cloud service. When you use an external route, only the contract-authorized context is materialized for the provider you choose.

02How does Kaplira stop agents from breaking architecture?

03Which coding agents work with Kaplira?

04What are safeguard and intervention receipts?

Independent by design

Built for the people who stay responsible after the agent leaves.

Kaplira is created independently by Vando Pereira, a software engineer building the product end to end.

The mission is simple: make AI-assisted software development faster without making software systems harder to understand, govern, or trust.

Read about Kaplira

Founding beta

Bring a real codebase.
Help shape the control layer for agentic development.

We are looking for engineers and small teams already shipping meaningful code with AI agents — especially where architecture, review, and continuity are becoming the bottleneck.

The desktop app is free, and it stays a desktop app — no card, no account tier to pick, nothing to cancel. What we ask in return:

Import one existing repository
Run one real change through Kaplira
Tell the founder where the loop breaks

Free desktop app. Direct founder access, no sales funnel.

Let coding agents move fast.
Keep every change accountable.

AI writes code faster than teams can preserve understanding.

Context dies between runs

Scope drifts quietly

Architecture erodes while green

Kaplira gives every agent exactly what the project has learned for the run ahead.

From repository to trusted outcome.

Read the system. Route the next move.

See what the agent was not allowed to break.

Follow the repository before changing it.

Every run becomes evidence before it becomes memory.

The result stays inspectable.

A summary you can open.

The next run does not start from zero.

Architecture, data, and governance explained.

Built for the people who stay responsible after the agent leaves.

Bring a real codebase.
Help shape the control layer for agentic development.

Let coding agents move fast.Keep every change accountable.

AI writes code faster than teams can preserve understanding.

Context dies between runs

Scope drifts quietly

Architecture erodes while green

Kaplira gives every agent exactly what the project has learned for the run ahead.

From repository to trusted outcome.

See what the agent was not allowed to break.

The result stays inspectable.

A summary you can open.

The next run does not start from zero.

Built for the people who stay responsible after the agent leaves.

Bring a real codebase.Help shape the control layer for agentic development.

Let coding agents move fast.
Keep every change accountable.

Bring a real codebase.
Help shape the control layer for agentic development.