Persistent Memory
for AI Applications

# 1. Store a decision your AI made
response = requests.post("https://api.ctxvault.dev/api/v1/memory/candidates",
  headers={"Authorization": f"Bearer {api_key}"},
  json={
    "project_slug": "my-app",
    "items": [{
      "type": "decision",
      "title": "Use PostgreSQL for persistence",
      "content": "Chose PostgreSQL with pgvector for vector search support."
    }]
  }
)

# 2. Later, retrieve relevant context for your LLM
context = requests.post("https://api.ctxvault.dev/api/v1/context-pack",
  json={"project_slug": "my-app", "query": user_question}
).json()

# 3. Inject into your LLM prompt
messages = [
  {"role": "system", "content": context["pack"]},
  {"role": "user", "content": user_question}
]