Task Management:
- Add cancellation safeguards: require valid reason category (duplicate,
obsolete, blocked_permanently, reassigned, scope_change, stakeholder_request)
- Protect active work from arbitrary cancellation - must pause/block first
- Auto-notify PM when task is blocked with ACTION REQUIRED message
- PM task scan now shows blocked tasks needing their attention
Permissions:
- Add VIEW_STATS to Developer, QA, Documenter, Head Marketing KB permissions
- Aligns code with docs/workflows/PERMISSIONS.md specification
RAG/Embeddings:
- Upgrade embedding model from all-MiniLM-L6-v2 to nomic-embed-text-v1.5
- 768 dimensions with 8K token context (vs 512 tokens)
- Add per-index chunk sizes: docs=1536, journals=1024, others=512
- Switch to fixed chunking (semantic chunking loads separate MiniLM model)
- Add einops dependency required by nomic model
10 KiB
Knowledge Base Guide
Overview
The knowledge base is built from 9 specialized indexes:
| Index Type | Content | Use Case |
|---|---|---|
| code | Source files | Find implementations, patterns |
| docs | Documentation, READMEs | Find guides, specs |
| conversations | Channel discussions | Find past discussions |
| journals | Agent journal entries | Find decisions, learnings |
| errors | Error patterns & fixes | Find solutions to past errors |
| standards | Coding standards, rules | Validate against standards |
| decisions | Architectural decisions | Find past design choices |
| reviews | Code review patterns | Find review templates |
| learnings | Captured learnings | Find team knowledge |
All content is embedded (vectorized) for semantic search.
Document Tracking: The system tracks actual documents indexed (not just vector chunks), including source path, title, preview, and chunk count.
Knowledge Base Tools
Semantic Search
roboco_kb_search(
query="rate limiting redis implementation",
top_k=5, # Results to return (1-20)
project="roboco", # Optional project filter
task_id="uuid-here", # Optional task filter
index_types=["code", "docs"] # Filter by type
)
Returns semantically similar content from indexed code, docs, and learnings.
RAG Queries (AI-Generated Answers)
roboco_rag_query(
query="How does authentication work in this codebase?",
top_k=5, # Context chunks to use
project="roboco" # Optional project filter
)
Returns an AI-synthesized answer with citations to sources.
Good for questions like:
- "How does authentication work?"
- "What pattern should I use for error handling?"
- "What decisions were made about the database schema?"
Check What's Indexed
roboco_kb_stats()
# Returns: indexed content counts by type
Estimate Token Count
roboco_tokens_estimate(content="...", model="claude-sonnet-4")
# Returns: token count for context planning
Indexing Content (PM/Developer/Documenter)
Index Code (PM, Developer)
roboco_kb_index_code(
sources=["src/**/*.py", "lib/**/*.ts"],
project="roboco"
)
Index Documentation (PM, Documenter)
roboco_kb_index_docs(
sources=["docs/**/*.md", "README.md"],
project="roboco"
)
Error Tracking
Record and search error patterns:
# Record an error and how you fixed it
roboco_record_error(
error_type="ConnectionError",
message="Redis connection timed out",
solution="Increased timeout to 30s and added retry logic",
worked=True
)
# Search for similar errors
roboco_search_error(
pattern="ConnectionError",
context="redis timeout"
)
Decision Tracking
Record architectural decisions:
# Record a decision
roboco_record_decision(
topic="Database for session storage",
decision="Use Redis instead of PostgreSQL",
rationale="Need sub-millisecond reads, sessions are ephemeral",
alternatives=["PostgreSQL", "In-memory"],
task_id="uuid-here"
)
# Check if similar decisions exist
roboco_decision_check(
topic="session storage",
proposed_approach="Use in-memory cache"
)
# Returns: relevant past decisions to consider
Standards Validation
Check code against team standards:
# Get applicable standards for a file
roboco_standards_get(
file_path="src/api/routes/users.py",
domain="api"
)
# Validate an action against standards
roboco_validate_action(
action="Adding a new API endpoint",
context="User management feature"
)
Learning Capture
Record and share learnings:
# Record a learning
roboco_record_learning(
content="Redis SCAN is better than KEYS for large datasets",
category="performance",
shareable=True,
tags=["redis", "performance", "patterns"]
)
# Search learnings
roboco_kb_search(
query="redis performance patterns",
index_types=["learnings"]
)
Searching the Knowledge Base
Search Your Journal
roboco_journal_search(
query="rate limiting redis implementation",
top_k=5 # Number of results
)
Returns semantically similar entries - not just keyword matches.
Search Examples
| Query | Finds |
|---|---|
| "how to handle auth tokens" | Past decisions about auth |
| "redis connection issues" | Struggles with Redis |
| "API versioning approach" | Decisions about API design |
| "what did I learn about caching" | Learning entries about caching |
Reading Past Work
Your Recent Entries
roboco_journal_recent(limit=10)
roboco_journal_recent(entry_type="decision_log")
roboco_journal_recent(task_id="uuid-here")
Your Stats
roboco_journal_stats()
# Returns: entries by type, growth metrics, top tags
Team Journals (if you have access)
roboco_journal_read_team(
target_agent="be-dev-1",
task_id="uuid-here", # Filter by task
entry_type="decision_log", # Filter by type
limit=10
)
Check Your Access Scope
roboco_journal_scope()
# Returns: your role, cell, who you can read
Before Starting a Task
Always search first:
# 1. Search for similar past work
roboco_journal_search("implementing rate limiter")
# 2. Check if someone documented this before
roboco_journal_search("rate limit decisions")
# 3. Look for learnings
roboco_journal_search("rate limiting lessons learned")
This helps you:
- Avoid repeating mistakes
- Find proven patterns
- Learn from others' experiences
- Understand past decisions
Contributing to Knowledge Base
Everything you journal becomes searchable:
| Entry Type | Searchable Content |
|---|---|
| Decision Log | Context, options, rationale |
| Learning | What learned, how applied |
| Struggle | Problem, solutions, resolution |
| Reflection | What done, what learned, struggles |
| General | Title, content, tags |
Pro tip: Use descriptive titles and tags - they improve search relevance.
Knowledge Flow
┌─────────────────────────────────────────────────────────────────────────┐
│ KNOWLEDGE FLOW │
└─────────────────────────────────────────────────────────────────────────┘
You Work You Journal Knowledge Base
│ │ │
│ Make decision │ │
└──────────────────────────►│ roboco_journal_decision │
└─────────────────────────────►│
│ Learn something │ │ Embedded
└──────────────────────────►│ roboco_journal_learning │ ▼
└─────────────────────────────►│ Searchable
│ Hit a struggle │ │
└──────────────────────────►│ roboco_journal_struggle │
└─────────────────────────────►│
│ Complete task │ │
└──────────────────────────►│ roboco_journal_reflect │
└─────────────────────────────►│
│
Future You ◄───────────────── roboco_journal_search ◄──────────┘
Future Agent ◄─────────────── roboco_journal_read_team ◄───────┘
Best Practices
- Search before you start - Learn from past work
- Journal as you go - Don't wait until end
- Be specific - Generic entries are less searchable
- Use tags - Helps categorization
- Record failures - They're valuable learning
- Include context - Future searchers need it
Proactive Context
The system can automatically provide relevant context when you claim a task:
# Automatic context injection on task claim
# System searches KB for:
# - Similar past tasks
# - Related decisions
# - Relevant standards
# - Past error solutions
This helps you start informed without manual searching.
Code Review Support
Request AI-assisted code review:
roboco_code_review(
file_path="src/api/routes/users.py",
focus=["security", "performance"]
)
# Returns: review comments, standards checked, similar past reviews
Tool Quick Reference
| Tool | Purpose | Who Can Use |
|---|---|---|
roboco_kb_search |
Semantic search | Everyone |
roboco_rag_query |
AI-generated answers | Everyone |
roboco_kb_stats |
What's indexed | Everyone |
roboco_kb_index_code |
Index code files | PM, Developer |
roboco_kb_index_docs |
Index documentation | PM, Documenter |
roboco_tokens_estimate |
Token count | Everyone |
roboco_journal_search |
Search your journal | Everyone |
roboco_journal_read_team |
Read team journals | PM, Documenter |
roboco_record_error |
Record error & fix | Everyone |
roboco_search_error |
Find past errors | Everyone |
roboco_record_decision |
Record decision | Everyone |
roboco_decision_check |
Check past decisions | Everyone |
roboco_standards_get |
Get applicable standards | Everyone |
roboco_validate_action |
Validate against standards | Everyone |
roboco_record_learning |
Record a learning | Everyone |
roboco_code_review |
AI-assisted review | Developer, QA |