Context Management
Orbitmap's core value is persistent context. Your agents don't start from scratch - they access the history of prior work, decisions, and documentation.
Using Task History
When you reference a previous task, the agent loads its full context - logs, decisions, code changes, and status.
~/my-project ❯ HAL, we need to change how the auth middleware works. You implemented it in task TS-r2d2x1 - check what you did. HAL: Loading task context... ✓ get_tasks(task_id='TS-r2d2x1') Task TS-r2d2x1 - Set up authentication flow Status: done Work logs (4 entries): 1. [code_change] Created SupabaseAuth middleware, AuthController, login/register views with Livewire components 2. [decision] Used JWT validation via firebase/php-jwt instead of Sanctum 3. [decision] Chose Redis session driver 4. [note] Ready for review - all auth tests pass I see the original implementation. The middleware validates JWT tokens using firebase/php-jwt. What change do you need?
Cross-entity Context
The same pattern works across all entity types - issues, vibes, documents, and ideas:
~/my-project ❯ JARVIS, remember that vibe where we explored Edge Functions? Check the vibes from last week. JARVIS: Searching vibes... ✓ get_vibes() Found vibe from 2026-03-11: "Explored Supabase Edge Functions for webhook processing. Promising but too immature - missing retry logic and DLQ." ❯ Also check issue IS-err99x, it might be related ✓ get_issues(issue_id='IS-err99x') IS-err99x - Timeout on large CSV export Status: open These could be related - both involve async processing bottlenecks...
Token-Efficient Document Access
AI agents have limited context windows - every token counts. Orbitmap's document system is designed to minimize how much an agent needs to read before finding the right information.
Every document has a short context field (a few sentences) visible in document listings. This lets the agent decide which document is relevant without opening it. Once the right document is identified, the agent fetches only its table of contents (~200 tokens) - not the full content. From the TOC, the agent pinpoints the exact section it needs and fetches just that section (~500 tokens).
The result: an agent working with a 5,000-token document typically consumes only ~700 tokens - the context field, the TOC, and one section. The full document is never loaded unless explicitly needed.
This three-tier reading flow works like this:
~/my-project ❯ CORTANA, how does our auth middleware validate tokens? CORTANA: Let me find the right document... ✓ get_project_docs() → 8 documents found → "Architecture Guide" context says: "Covers auth, middleware, DB schema..." → This is the one. ✓ get_document('arch-guide') → TOC: 14 sections → "## Authentication Flow" looks right ✓ get_document('arch-guide', section='## Authentication Flow') → 480 tokens loaded (not 5,200) The SupabaseAuth middleware validates JWT tokens using firebase/php-jwt on every request. Tokens are checked for expiry and signature validity against the Supabase JWT secret...
This approach has three key benefits:
- Context window efficiency - agents preserve their limited context for reasoning and code, not for reading documentation they don't need
- Faster responses - less data to process means the agent responds quicker
- Scales with project size - whether your project has 3 documents or 30, the agent's token cost stays roughly the same per lookup
The same efficiency applies to editing - agents can patch a single section without downloading or re-uploading the entire document.
For details on how documents are imported, shared, and read, see Project Documentation.
Orbit - Contextual Grouping
Orbits let you group related tasks, issues, ideas, and documents into a thematic collection. Think of an Orbit as a "feature area" or "initiative" that spans multiple entities.
For example, an Orbit called "Authentication Overhaul" might contain:
- 3 tasks (implement, test, document)
- 1 issue (the bug that triggered the overhaul)
- 2 documents (auth spec, migration guide)
- 1 idea (future SSO support)
Agents can query orbits to get the full picture of an initiative, including all related entities and their current state.