For engineers

Stop rebuilding context for every agent.

Stop managing agent context across scattered files, local folders, copied prompts, and product-specific memory. Keep it current, versioned, shareable, and portable.

Create your context repositorySee how it works

Works natively inside:

Codex(CLI + Desktop)
Claude Code(CLI + Desktop)
ChatGPT
Claude
More

Your context is everywhere except where the agent needs it.

  1. Copy-paste config

    Every tool gets its own version of the truth

    The same instructions live in AGENTS.md files, personal prompts, settings, dotfolders, and chat projects. A fix in one place leaves the others stale.

  2. Skill drift

    Shared Skills become mystery folders

    You cannot tell who changed a Skill, which version a teammate used, or whether the files on your machine match the approved package.

  3. Session amnesia

    The agent forgets the useful parts of yesterday

    Current work, failed approaches, user corrections, and next steps disappear at the end of a session or get trapped in one product's memory.

  4. Vendor glue

    Changing agents means rebuilding your setup

    Your best context is coupled to one model, desktop app, CLI, or proprietary format, so trying another tool starts with migration work.

Team guidanceAGENTS.md
Review workflowSkill
Working stateMemory
Codingagent
Reviewagent
Researchagent

Keep every kind of context in one governed repository.

Alignbase treats AGENTS.md guidance, Skills, and Memory as context. You get one versioned source, then supported agents load the right context for the engineer, repo, project, and task.

AGENTS.md guidance

  • Team standards that span repos
  • Architecture and product context
  • Security and review policy
  • Current migrations and delivery constraints

Reusable Skills

  • Test, review, and release workflows
  • Scripts, fixtures, and templates
  • Task-specific instructions loaded on demand
  • Approved packages with version history

Working Memory

  • Current state and next steps
  • User corrections and preferences
  • Failed approaches and known traps
  • Short recall that stays useful between sessions

Spend less time fixing context and more time shipping.

  1. Correct
    66%
    cite almost-right AI solutions as a frustrationStack Overflow Developer Survey (2025). Among 31,476 respondents to this question, 66% cited AI solutions that are almost right, but not quite, as a frustration.Read the source

    Give the agent the constraints before it writes

    Put architecture, project state, review rules, and task methods into the agent's working context before output becomes cleanup.

  2. Trusted
    46%
    of respondents distrust AI tool accuracyStack Overflow Developer Survey (2025). Among 33,244 respondents to this question, 46% distrusted the accuracy of AI tools, compared with 33% who trusted it.Read the source

    Know where shared context came from

    Use approved versions, ownership, and change history instead of trusting whatever happens to be in a local folder.

  3. Fast
    ~70%
    say agents reduce time on specific tasksStack Overflow Developer Survey (2025). Among 12,823 respondents to the agent-impact question, approximately 70% agreed that agents reduced time spent on specific development tasks.Read the source

    Keep the speed without repeating the setup

    Load current team context and working Memory without writing another long startup prompt.

  4. Lean
    62.6%
    fewer tokens with recent context plus summaries in one benchmarkLodha et al., “Less Context, Better Agents” (2026 preprint). On one enterprise expense-processing benchmark, retaining five recent tool calls plus summaries used 553,374 tokens versus 1,480,996 with full-history retention, a 62.6% reduction, while improving completion on that benchmark.Read the source

    Send the context that matters

    Keep durable guidance, task-specific Skills, and short-term Memory distinct so the agent does not load a full history every time.

Move one shared workflow out of the dotfolders.

Start with context your team already copies between agents, such as review policy, a release Skill, or a migration brief.

  1. Step 1

    Create your context repository

    Open a free account and bring in the team guidance, Skills, and working Memory you want to manage.

  2. Step 2

    Connect a coding agent

    Let the agent load current context and discover the approved Skills available for its work.

  3. Step 3

    Publish the fixes worth sharing

    When an agent finds a durable gap, propose the correction once and make the reviewed version available to the team.

CompanyStrategy
EngPolicies
SalesPolicies
Division 1KPIs
Division 2KPIs
Team AArchitecture
Team BArchitecture

Give your agents one place to look.

Create a free context repository for shared AGENTS.md guidance, Skills, and Memory.

Start free
Questions engineers ask.

How Alignbase fits with repo files, local Skills, Memory, reviews, and the agents you already use.

Does Alignbase replace repo-level AGENTS.md files?
No. Keep repo-local commands and codebase rules close to the code. Use Alignbase for team and cross-repo context that should be shared, governed, and portable across agents.
Are Skills separate from context?
No. Context is the umbrella term. A Skill is context packaged with instructions and optional files so an agent can load it when a task calls for it.
How is Memory different from durable context?
Memory is short working recall: current state, corrections, unfinished work, and known traps. Durable team facts and methods belong in reviewed AGENTS.md guidance or Skills.
Can agents update shared context?
Agents can propose or save changes when they have the right permissions. Teams can require review before a new version is published to the wider fleet.
Can I use the same context with different agents?
Yes, through supported integrations. Alignbase keeps the source independent of one agent product and routes the right context to each connected agent.
What should I move into Alignbase first?
Start with the context you copy most often or fix most often: team standards, cross-repo architecture, review policy, a release workflow, or working state that gets lost between sessions.