// Developers · engineering goes first
How engineering teams ship the agentic era.
Agentic coding is a shift in how software gets built, not a tool to roll out. We give your engineers an agent that already knows your company, the rails to use it safely, and a forward-deployed engineer who works inside the team until shipping with agents is the default. Open source, on your infrastructure, nothing to get locked into.
// The shift
Your engineers, with an agent that knows the company.
A coding assistant answers questions about code. An agent wired into your logs, database, and company history answers questions about your business, and that is what changes how a team ships. We mentor the team through the shift; what lands is a folder your engineers own.
What changes for the team
- ▸Every session starts with the company loaded: the manual, the rules, the decisions, last session’s trail
- ▸Engineers run several agents in parallel worktrees instead of one chat at a time
- ▸Review keeps pace with agent-written code; incidents get reconstructed from logs, not memory
How we help
- ▸A forward-deployed engineer pairs with your engineers on real tickets, inside your codebase
- ▸The operating manual, permission rails, and integrations (CI, logs, database, tracker) set up for your stack
- ▸The exit test is an engineer other than the champion shipping with the agent, unprompted
No lock-in
- ▸The agent is open source and the brain is plain files on your infrastructure, under your keys
- ▸Claude Code today, Codex today, the next host when it ships; the model is a setting
- ▸Stop the engagement whenever you like and keep the fork, the brain, and every workflow
// In practice · real prompts, real systems
What a wired-in agent actually does.
// Session start · priming context
// Logs · database · CI · web: one tool call away
who it is · soul, identity, and your operating manual
loadedwho you are · how you work, how you want answers
loadedthe rules · your coding standards, scoped per path
loadedthe brain · active threads, recent decisions, the task board
loadedthe lessons · every correction your team made, compiled
loadedthe trail · last session’s tail and recent git activity
loadedZero briefing, zero context-pasting, no “as I mentioned last time.” Every session below starts from all of this, already loaded.
// Context primed · 6/6
The customer bug, before standup
> a customer says checkout fails intermittently since yesterday. find it
The agent pulls the request timeline from your logs by correlation ID, queries the read-only replica for the affected rows, points at the commit that introduced the regression, and drafts the fix with a test that replays the failing requests.
The incident, reconstructed
> we got paged at 02:10. what actually happened?
It rebuilds the timeline from logs, checks it against the runbook the brain compiled from every previous incident, identifies the diverging step, and drafts the postmortem with the runbook diff attached.
The feature, planned with context
> plan the usage-based billing migration
The plan cites the pricing decision from three months ago, applies your migration rules for billing tables, and flags the conflict with the launch thread already in flight. Nothing gets re-litigated, nothing gets missed.
The pull request, reviewed with receipts
> review #531 against our conventions and the incident from last week
It reads the diff, the checks, and the run logs, holds them against the rules in the manual and the postmortem in the brain, and leaves findings with file and line, not opinions.
// Patterns from two production deployments: a fintech scaling past launch · a startup going 0 to 1
// Code context · an agent-ready codebase
Your codebase is context too.
The brain holds what your company knows. The repository holds what your code expects. An agent dropped into a bare repo guesses at both; one that loads the repo’s own manual, drives its own toolchain, and has to pass its gates ships like a senior engineer who has worked there for years.
A manual in the repo
How to build it, the conventions, the release order, and what never to touch, written for an agent and loaded before every change.
The toolchain wired in
The agent builds every target, runs the tests, launches the app, and reads the screen itself. No human driving the IDE.
Architecture it can copy
One shape per screen, one home per rule. When every problem has one pattern, the fiftieth change looks like the first.
Gates it must pass
A verification ladder per kind of change: it builds, the tests pass, someone launched it and looked. "Compiles" is never "done".
Pray Watch changed eighteen lines in 2025. Five weeks after its codebase was made agent-ready, a rebuilt release was on the App Store.
Read the case study →// Open source
Everything we ship is open.
The agent, its skills and tools, the docs, the demo. Apache-2.0, self-hosted, one plugin for Claude Code or Codex. Engineering teams can run all of it without ever talking to us.
▸ agent-kevin
The agent itself: the operating manual, hooks, a 50-plus-tool MCP server, and 35-plus skills. One plugin for Claude Code or Codex, installed from the AgentLayer marketplace.
github.com/AgentLayer1/agent-kevin →▸ Docs
Install, onboarding, the brain, the harness, every skill and tool, the dashboard, and the workstation setup. Also served as llms.txt for models.
Read the docs →▸ Capabilities
33 skills with 50+ playbooks and 70+ tools in the plugin, and eight packs (SEO, Browser, Database, GitHub, API, Xcode, Helpdesk, App Store) that switch on when you activate them.
Every capability →▸ Seed bundles
Export an agent’s persona and curated setup as a zip; a teammate’s fresh home imports it with fork semantics. The web wizard produces the same bundle from eleven prompts.
Seed bundles →▸ Demo dashboard
A real render of the one-file mission-control dashboard, seeded with data for a fictitious company. Every card links to the markdown underneath.
Open the demo →▸ Marketplace
One catalog serves both hosts. Add it once, install the plugin, update from inside a session.
agentlayer-agent-marketplace →// Seed wizard
Eleven prompts. Then your agent exists.
Answer like a terminal and get a real seed bundle: the zip the open-source agent-kevin plugin imports to fork your agent, identity and starting knowledge included. Self-serve it in minutes, or send it over for a guided demo of your agent running on seeded company material.
// Prompt 01 of 11
> Which company are we forking an agent for?
// What stays yours
Open foundation. Private recipe.
The foundation is the same for every company. What compounds on top of it is not, and it never leaves your infrastructure.
▸ Your context
The brain seeded from your corpus, your manual, your rules, your memory. Compiled on your disk, never ours.
▸ Your powers
The skills and tools written for the functions only your company has. Yours to keep, in your fork.
▸ Your keys
Every credential stays in a deny-gated store on your infrastructure. Nothing phones home.
// Engineering principles
▸ Files over frameworks
Every host already reads files. Context delivered as markdown needs no integration and survives a change of model or tool.
▸ Audit trail by default
Every session captured, every task threaded, the folder under git. Attributable, replayable, reviewable.
▸ Skills advise, hooks enforce
A skill makes a policy likely. A hook makes a violation close to impossible. Anything an auditor must trust gets a hook.
▸ Human-in-the-loop is a feature
Designed-in approval points, not bolted-on guardrails. A core capability, not a fallback.
// Contributing
Pull requests welcome.
New packs, read-mostly tools, platform hardening, docs. Open an issue first for architectural changes; the agent’s contract with the markdown home is intentional.