episteme

Episteme Knowledge Graph

Hybrid search + graph traversal over a curated database of design patterns, engineering laws, code smells, and refactoring techniques. All queries use the Episteme HTTP API via curl.

Prerequisites

Before any API call, resolve the URL and token once:

eval $(epis api env)
# Sets: EPISTEME_URL=http://127.0.0.1:<port>
# Sets: EPISTEME_API_KEY=<token>  (only if configured)

Then use $EPISTEME_URL and -H "X-API-Key: $EPISTEME_API_KEY" in all curl calls.

• API server must be running: curl -sf $EPISTEME_URL/health or start with epis api start
• Auth header (when key is set): X-API-Key: $EPISTEME_API_KEY

Arguments

Arg	Action
verify	Check server is running → eval $(epis api env) → curl $EPISTEME_URL/health → print status
rag status	Same as verify

When to Use

Activate automatically when the user expresses any of the following, regardless of technical phrasing:

Code problems — translate complaint into a knowledge graph query:

User says	API call (run via Bash)
"this class does too much" / file > 300 lines	curl -s '$EPISTEME_URL/search?q=god+class+large+class+single+responsibility&limit=5'
"this function is too long"	curl -s '$EPISTEME_URL/search?q=long+method+extract+method&limit=5'
"code is too complex" / hard to follow	curl -s '$EPISTEME_URL/search?q=complexity+smell+cognitive+overload&limit=5'
"calling DB directly in business logic"	curl -s '$EPISTEME_URL/search?q=coupling+persistence+repository+data+access+layer&limit=5'
"hard to test" / can't write unit tests	curl -s '$EPISTEME_URL/search?q=testability+dependency+injection+mockability&limit=5'
"copy-pasted this" / duplicated logic	curl -s '$EPISTEME_URL/search?q=duplicated+code+clone+smell&limit=5'
"changing X breaks Y" / change ripple	curl -s '$EPISTEME_URL/search?q=brittle+coupling+change+propagation+rigidity&limit=5'
"adding a new type means touching everywhere" / growing switch	curl -s '$EPISTEME_URL/search?q=open+closed+principle+strategy+polymorphism&limit=5'
"is this thread-safe?" / concurrency concerns	curl -s '$EPISTEME_URL/search?q=thread+safety+race+condition+shared+mutable+state&limit=5'
"API is slow" / performance issues	curl -s '$EPISTEME_URL/search?q=N%2B1+query+lazy+loading+caching+performance&limit=5'
User shares code for review	curl -s -X POST $EPISTEME_URL/analyze -H 'Content-Type: application/json' -d '{"code":"...","language":"python"}' then curl -s -X POST $EPISTEME_URL/refactor -H 'Content-Type: application/json' -d '{"code":"...","language":"python"}'
User wants to refactor or improve code	curl -s -X POST $EPISTEME_URL/refactor -H 'Content-Type: application/json' -d '{"code":"...","language":"python"}'

Architecture discussions:

User says	API call (run via Bash)
"microservices vs monolith" / how to split	curl -s '$EPISTEME_URL/search?q=monolith+microservice+decomposition+bounded+context&limit=5'
"is this architecture okay?" / architecture review	curl -s '$EPISTEME_URL/search?q=layered+architecture+coupling+cohesion+separation+concerns&limit=5'
"where should this go?" / code placement	curl -s '$EPISTEME_URL/search?q=responsibility+assignment+package+structure&limit=5'
Team/org structure affects code	curl -s '$EPISTEME_URL/search?q=Conway+law+organizational+structure+architecture&limit=5'

Follow-up exploration:

User says	API call (run via Bash)
Entity ID mentioned (DP-xxx, LAW-xxx, RF-xxx, SMELL-xxx)	curl -s '$EPISTEME_URL/graph/DP-005?detail=full'
"how does X relate to Y"	curl -s -X POST $EPISTEME_URL/graph/path -H 'Content-Type: application/json' -d '{"from_id":"DP-005","to_id":"SMELL-01","max_depth":5}' or curl -s '$EPISTEME_URL/graph/DP-005/neighbors'
"tell me more" about a result	curl -s '$EPISTEME_URL/graph/ID?detail=full' for full details, curl -s '$EPISTEME_URL/graph/ID/neighbors' for connections

Always:

• Translate informal language into technical queries. User says "it's a tangled mess", you search "coupling tangled dependency".
• Present the named concept and explain it in the user's own language.
• Cite entity IDs (DP-005, LAW-003) in responses.

HTTP API Reference

All commands use curl via the Bash tool. Add -H "X-API-Key: $EPISTEME_API_KEY" if auth is configured.

Endpoint	Method	Purpose
/search?q=QUERY&limit=N&type=TYPE	GET	Hybrid keyword + semantic search
/search	POST	Search with JSON body: {"query":"...","limit":5,"entity_type":"pattern"}
/graph/{ID}?detail=full	GET	Full details for a specific entity
/graph/{ID}/neighbors?type=solves	GET	Explore related entities
/graph/neighbors	POST	Neighbors with JSON body: {"entity_id":"DP-005","relation_type":"solves"}
/graph/path	POST	Trace connection: {"from_id":"DP-005","to_id":"SMELL-01","max_depth":5}
/analyze	POST	Detect code smells: {"code":"...","language":"python"}
/refactor	POST	Ranked refactoring suggestions: {"code":"...","language":"python","top_k":3}
/insights	POST	Add user insight: {"text":"...","tags":["t1"],"linked_entities":["DP-005"]}
/graph/subgraph	POST	Extract subgraph around entity: {"entity_id":"DP-005","depth":2}
/graph/contradictions	GET	List all conflicting entity pairs in the graph
/graph/infer	GET	Infer transitive enforcement relationships
/health	GET	Health check
/stats	GET	Graph statistics

curl examples

# Search
curl -s '$EPISTEME_URL/search?q=dependency+injection&limit=5'

# POST search with entity type filter
curl -s -X POST $EPISTEME_URL/search \
  -H 'Content-Type: application/json' \
  -d '{"query":"dependency injection","limit":5,"entity_type":"pattern"}'

# Get entity details
curl -s '$EPISTEME_URL/graph/DP-005?detail=full'

# Get neighbors
curl -s '$EPISTEME_URL/graph/DP-005/neighbors?type=enforces'

# POST neighbors
curl -s -X POST $EPISTEME_URL/graph/neighbors \
  -H 'Content-Type: application/json' \
  -d '{"entity_id":"DP-005","relation_type":"enforces"}'

# Find path between entities
curl -s -X POST $EPISTEME_URL/graph/path \
  -H 'Content-Type: application/json' \
  -d '{"from_id":"DP-005","to_id":"SMELL-01","max_depth":5}'

# Analyze code
curl -s -X POST $EPISTEME_URL/analyze \
  -H 'Content-Type: application/json' \
  -d '{"code":"class GodClass { ... }","language":"python"}'

# Get refactoring suggestions
curl -s -X POST $EPISTEME_URL/refactor \
  -H 'Content-Type: application/json' \
  -d '{"code":"class GodClass { ... }","language":"python","top_k":3}'

# Add insight
curl -s -X POST $EPISTEME_URL/insights \
  -H 'Content-Type: application/json' \
  -d '{"text":"Team decided to use Repository pattern","tags":["decision"],"linked_entities":["DP-005"]}'

# Extract subgraph (depth=2 default)
curl -s -X POST $EPISTEME_URL/graph/subgraph \
  -H 'Content-Type: application/json' \
  -d '{"entity_id":"DP-005","depth":2}'

# List contradictions
curl -s '$EPISTEME_URL/graph/contradictions'

# Infer transitive enforcements
curl -s '$EPISTEME_URL/graph/infer'

Code analysis workflow

For code analysis, pass the code string directly in the JSON body — no temp file needed:

# Analyze smells
curl -s -X POST $EPISTEME_URL/analyze \
  -H 'Content-Type: application/json' \
  -d '{"code":"class UserManager:\n    def create(self): pass\n    def delete(self): pass\n    def email(self): pass","language":"python"}'

# Get ranked refactorings
curl -s -X POST $EPISTEME_URL/refactor \
  -H 'Content-Type: application/json' \
  -d '{"code":"class UserManager:\n    def create(self): pass\n    def delete(self): pass\n    def email(self): pass","language":"python","top_k":3}'

Workflow Chains

Multi-step flows that chain API calls into end-to-end workflows. After each chain completes, present interactive follow-up options to the user.

Chain 1: Code Review Pipeline

curl -s -X POST $EPISTEME_URL/analyze -d '{"code":"...","language":"LANG"}'
  -> curl -s -X POST $EPISTEME_URL/refactor -d '{"code":"...","language":"LANG"}'
  -> curl -s '$EPISTEME_URL/graph/SMELL_ID/neighbors?type=solved_by'
  -> curl -s -X POST $EPISTEME_URL/graph/path -d '{"from_id":"SMELL_A","to_id":"SMELL_B"}'  [for each pair of detected smells]
  -> Report with causation graph
  -> Present options:
     1. Apply refactoring [RF-xxx] -> spawn refactoring-expert agent
     2. Deep dive into [SMELL-xxx] root cause -> spawn episteme-advisor agent
     3. Architecture assessment -> spawn architecture-analyst agent
     4. Explain [entity ID] in detail -> curl -s '$EPISTEME_URL/graph/ID?detail=full'

Chain 2: Architecture Review Pipeline

curl -s '$EPISTEME_URL/search?q=QUERY&limit=5'
  -> curl -s '$EPISTEME_URL/graph/TOP_RESULT?detail=full'
  -> curl -s '$EPISTEME_URL/graph/ENTITY/neighbors?type=enforces'
  -> curl -s '$EPISTEME_URL/graph/ENTITY/neighbors?type=violates'
  -> curl -s -X POST $EPISTEME_URL/graph/path -d '{"from_id":"ENTITY_A","to_id":"ENTITY_B"}'
  -> Report with compliance scores and risk assessment
  -> Present options:
     1. Get refactoring plan for violations -> spawn code-reviewer agent
     2. Advisory on resolving tensions -> spawn episteme-advisor agent
     3. Research alternatives -> spawn episteme-researcher agent
     4. Deep dive into specific law/pattern -> curl -s '$EPISTEME_URL/graph/ID?detail=full'

Chain 3: Problem Diagnosis Pipeline

curl -s '$EPISTEME_URL/search?q=SYMPTOM_QUERY&limit=5'
  -> curl -s '$EPISTEME_URL/graph/TOP_RESULT?detail=full'
  -> curl -s '$EPISTEME_URL/graph/ENTITY/neighbors?type=solved_by'
  -> curl -s '$EPISTEME_URL/graph/ENTITY/neighbors?type=violates'
  -> Report: Root Cause -> Symptoms -> Fixes -> Trade-offs
  -> Present options:
     1. Apply recommended fix -> spawn refactoring-expert agent
     2. Get advisory on approach -> spawn episteme-advisor agent
     3. Verify fix works -> curl -s -X POST $EPISTEME_URL/refactor -d '{"code":"...","language":"python"}' on proposed solution
     4. Explore related patterns -> curl -s '$EPISTEME_URL/graph/ID/neighbors?type=related_to'

Chain 4: Learning & Exploration Pipeline

curl -s '$EPISTEME_URL/search?q=TOPIC&limit=5'
  -> curl -s '$EPISTEME_URL/graph/ID?detail=full' [for each result]
  -> curl -s '$EPISTEME_URL/graph/ID/neighbors?type=related_to'
  -> curl -s -X POST $EPISTEME_URL/graph/path -d '{"from_id":"ENTITY_A","to_id":"ENTITY_B"}'  [for contrasting concepts]
  -> Report: Core Concept -> Related -> Contrasting -> When to Use
  -> Present options:
     1. See practical code examples -> curl -s '$EPISTEME_URL/search?q=ENTITY+example&limit=5'
     2. Apply this pattern to my code -> spawn code-reviewer agent
     3. Compare alternatives -> spawn episteme-researcher agent

Cross-Tool Chaining Rules

These rules ensure every API call leads naturally to the next:

After running...	Always follow up with...
POST /analyze	POST /refactor on the same code for ranked refactorings
POST /refactor	GET /graph/{SMELL_ID}/neighbors?type=solved_by to check for alternative fixes
GET /search	GET /graph/{ID}?detail=full on top 1-2 results for full context
GET /graph/{ID}?detail=full (smell)	GET /graph/{ID}/neighbors?type=violates to find impacted principles
GET /graph/{ID}?detail=full (pattern)	GET /graph/{ID}/neighbors?type=enforces to find enforced laws
GET /graph/{ID}?detail=full (refactoring)	GET /graph/{ID}/neighbors?type=solved_by inverse to find what it solves
Multiple smells detected	POST /graph/path between smell pairs to map causation
GET /graph/{ID}/neighbors returns >3 entities	Summarize and offer GET /graph/{ID}?detail=full on user's choice

Agent Handoff Protocol

When presenting next-step options after any workflow chain, use this format:

## Next Steps
1. **[Action verb]** -- [Description] -> [agent name or API call]
2. **[Action verb]** -- [Description] -> [agent name or API call]
3. **[Action verb]** -- [Description] -> [agent name or API call]

Available agents for handoff:

• episteme-advisor -- For trade-off analysis, decision guidance, and root-cause deep dives
• episteme-researcher -- For broad research across entity types and finding alternatives
• code-reviewer -- For code smell detection, refactoring ranking, and causation analysis
• architecture-analyst -- For system-level evaluation against laws and structural risks
• refactoring-expert (external) -- For implementing specific refactoring steps on code

Handoff rules:

• After detection: offer implementation (refactoring-expert) or deeper analysis (episteme-advisor)
• After analysis: offer alternative approaches (episteme-researcher) or architecture impact (architecture-analyst)
• After advisory: offer verification (code-reviewer) or implementation (refactoring-expert)
• Never hand off without context -- always pass the entity IDs and key findings to the next agent

Agent Instructions

Code review / analysis workflow

1. Run curl -s -X POST $EPISTEME_URL/analyze -H 'Content-Type: application/json' -d '{"code":"...","language":"LANG"}' to detect smells.
2. If smells found, run curl -s -X POST $EPISTEME_URL/refactor -H 'Content-Type: application/json' -d '{"code":"...","language":"LANG"}' for ranked fixes.
3. For each smell, run curl -s '$EPISTEME_URL/graph/SMELL_ID?detail=full' to map it to principles and laws.
4. For each pair of smells, run curl -s -X POST $EPISTEME_URL/graph/path -H 'Content-Type: application/json' -d '{"from_id":"SMELL_A","to_id":"SMELL_B"}' to discover causation chains.
5. Present: smell name (entity ID), causation graph, refactoring options, and the underlying principle.
6. Offer follow-up actions per the Agent Handoff Protocol.

Architecture discussion workflow

1. Run curl -s '$EPISTEME_URL/search?q=QUERY&limit=5' with the core architectural question.
2. For top results, run curl -s '$EPISTEME_URL/graph/ID/neighbors' to find complementary and conflicting concepts.
3. Run curl -s -X POST $EPISTEME_URL/graph/path -H 'Content-Type: application/json' -d '{"from_id":"ENTITY_A","to_id":"ENTITY_B"}' between opposing concepts to surface trade-off chains.
4. Present grounded trade-off analysis citing entity IDs.
5. Offer follow-up actions per the Agent Handoff Protocol.

Problem diagnosis workflow

1. Translate the user's informal complaint into 2-3 technical search queries.
2. Run curl -s '$EPISTEME_URL/search?q=QUERY&limit=5' with each, merge results by relevance score.
3. Deep-dive top 2-3 entities with curl -s '$EPISTEME_URL/graph/ID?detail=full'.
4. Explore relationships with curl -s '$EPISTEME_URL/graph/ID/neighbors' to find root causes.
5. Map causation with curl -s -X POST $EPISTEME_URL/graph/path -H 'Content-Type: application/json' -d '{"from_id":"SMELL_A","to_id":"SMELL_B"}' between related smells.
6. Synthesize: Problem Summary, Root Cause (entity IDs), Actionable Recommendations, Trade-offs.
7. Offer follow-up actions per the Agent Handoff Protocol.

Entity ID Conventions

• Design Patterns: DP-001 ... DP-NNN
• Refactorings: RF-001 ... RF-NNN
• Engineering Laws: LAW-001 ... LAW-NNN
• Code Smells: SMELL-001 ... SMELL-NNN