Prevent coding agents from using stale documentation.
A local context compiler and CI gate that gives coding agents task-specific, source-linked evidence. Eliminate hallucinations caused by wrong versions or outdated manuals.
VALIDATED AGAINST REAL DOCUMENTATION
Every successful target produced the same artifact hash on repeated builds.
Supabase docs preserved despite per-file diagnostics and complex MDX layouts.
Next.js compiled bounded 100-page crawls into high-density task packs.
From docs to gateable context
The transformation layer that turns static documentation into deterministic evidence for AI agents.
Compile Existing Docs
Collect, normalize, graph, and generate deterministic local context from existing docs.
Scope Retrieval
Filter versions, frameworks, routers, and runtimes while retrieving evidence offline.
Trace Every Claim
Link task packs, entities, and findings back to source pages, headings, and code.
Generate Task Packs
Give coding agents compact task context without silently combining conflicting evidence.
Hand off to Agents
Serve task context, freshness, verification, and setup commands through read-only MCP.
Gate Readiness
Check freshness, coverage, and context conflicts before agents start their work.
Automated Guardrails
The `verify-context` command prevents "context drift" by validating your agent's handoff against current build state. It detects deprecated evidence and version mismatches before they lead to failed PRs.
- check_circleDeterministic local context compilation
- check_circleCI integration via `agentdocs doctor`
- check_circleSource-linked evidence tracking
WARN: Context needs review.
Issue: deprecated_evidence
Selected task pack: migration
Recommended action: inspect migration task pack.
PASS: Context is safe to use for this task.
Version boundary: v5
Task evidence: source-linked migration sections
Run locally and safely
Keep your documentation architecture offline. Treat docs as untrusted input and never execute crawled commands. AgentDocs is designed for privacy-conscious engineering teams who require air-gapped context for their development agents.
Ready to harden your AI workflow?
Install the published beta and start generating source-linked evidence today.