Files
goclaw/internal/tools/memory.go
T
viettranx ee9f5b8aaf feat(team): share leader memory with team members (read-only)
Team members dispatched via team tasks can now read the leader's memory
files (MEMORY.md, memory/*.md) as a fallback when they have no own
memory. Memory writes are blocked for members — only the leader can
save memory files. This follows the existing team_workspace context
propagation pattern: dispatch metadata → RunRequest → context → tools.

Affected tools: read_file (interceptor), memory_get, memory_search,
list_files (interceptor). All include leader fallback with per-user →
global scope cascade.
2026-03-27 22:45:40 +07:00

246 lines
7.3 KiB
Go

package tools
import (
"context"
"encoding/json"
"fmt"
"strings"
"github.com/google/uuid"
"github.com/nextlevelbuilder/goclaw/internal/store"
)
// MemorySearchTool implements the memory_search tool for hybrid semantic + FTS search.
type MemorySearchTool struct {
memStore store.MemoryStore // Postgres-backed
hasKG bool // knowledge_graph_search tool is available
}
func NewMemorySearchTool() *MemorySearchTool {
return &MemorySearchTool{}
}
// SetMemoryStore enables Postgres queries with agentID/userID scoping.
func (t *MemorySearchTool) SetMemoryStore(ms store.MemoryStore) {
t.memStore = ms
}
// SetHasKG enables the KG hint in search results.
func (t *MemorySearchTool) SetHasKG(has bool) {
t.hasKG = has
}
func (t *MemorySearchTool) Name() string { return "memory_search" }
func (t *MemorySearchTool) Description() string {
return "Mandatory recall step: semantically search MEMORY.md + memory/*.md before answering questions about prior work, decisions, dates, people, preferences, or todos; returns top snippets with path + lines. If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user. IMPORTANT: Always query in the SAME language as the stored memory content. If the user speaks Vietnamese, search in Vietnamese. If memory was written in English, search in English. Matching the language dramatically improves search accuracy."
}
func (t *MemorySearchTool) Parameters() map[string]any {
return map[string]any{
"type": "object",
"properties": map[string]any{
"query": map[string]any{
"type": "string",
"description": "Natural language search query. Must be in the same language as the stored memory content (e.g., Vietnamese if memory is in Vietnamese).",
},
"maxResults": map[string]any{
"type": "number",
"description": "Maximum number of results to return (default: 6)",
},
"minScore": map[string]any{
"type": "number",
"description": "Minimum relevance score threshold (0-1)",
},
},
"required": []string{"query"},
}
}
func (t *MemorySearchTool) Execute(ctx context.Context, args map[string]any) *Result {
query, _ := args["query"].(string)
if query == "" {
return ErrorResult("query parameter is required")
}
var maxResults int
var minScore float64
if mr, ok := args["maxResults"].(float64); ok {
maxResults = int(mr)
}
if ms, ok := args["minScore"].(float64); ok {
minScore = ms
}
agentID := store.AgentIDFromContext(ctx)
if t.memStore == nil || agentID == uuid.Nil {
return ErrorResult("memory system not available")
}
userID := store.MemoryUserID(ctx)
searchOpts := store.MemorySearchOptions{
MaxResults: maxResults,
MinScore: minScore,
}
// Apply per-agent memory config overrides if set
if mc := MemoryConfigFromCtx(ctx); mc != nil {
if mc.MaxResults > 0 && searchOpts.MaxResults <= 0 {
searchOpts.MaxResults = mc.MaxResults
}
if mc.VectorWeight > 0 {
searchOpts.VectorWeight = mc.VectorWeight
}
if mc.TextWeight > 0 {
searchOpts.TextWeight = mc.TextWeight
}
if mc.MinScore > 0 && searchOpts.MinScore <= 0 {
searchOpts.MinScore = mc.MinScore
}
}
agentStr := agentID.String()
results, err := t.memStore.Search(ctx, query, agentStr, userID, searchOpts)
if err != nil {
return ErrorResult(fmt.Sprintf("memory search failed: %v", err))
}
// Fallback: also search leader's memory for team members and merge results.
if leaderID := LeaderAgentIDFromCtx(ctx); leaderID != "" && leaderID != agentStr {
leaderResults, lerr := t.memStore.Search(ctx, query, leaderID, userID, searchOpts)
if lerr != nil && userID != "" {
leaderResults, _ = t.memStore.Search(ctx, query, leaderID, "", searchOpts)
}
results = append(results, leaderResults...)
}
if len(results) == 0 {
return NewResult("No memory results found for query: " + query)
}
output := map[string]any{
"results": results,
"count": len(results),
}
if t.hasKG {
output["hint"] = "Also run knowledge_graph_search if the query involves people, teams, projects, or connections between entities."
}
data, _ := json.MarshalIndent(output, "", " ")
return NewResult(string(data))
}
// MemoryGetTool implements the memory_get tool for reading specific memory files.
type MemoryGetTool struct {
memStore store.MemoryStore // Postgres-backed
}
func NewMemoryGetTool() *MemoryGetTool {
return &MemoryGetTool{}
}
// SetMemoryStore enables reading from Postgres memory_documents.
func (t *MemoryGetTool) SetMemoryStore(ms store.MemoryStore) {
t.memStore = ms
}
func (t *MemoryGetTool) Name() string { return "memory_get" }
func (t *MemoryGetTool) Description() string {
return "Safe snippet read from MEMORY.md or memory/*.md with optional from/lines; use after memory_search to pull only the needed lines and keep context small."
}
func (t *MemoryGetTool) Parameters() map[string]any {
return map[string]any{
"type": "object",
"properties": map[string]any{
"path": map[string]any{
"type": "string",
"description": "Relative path to memory file (e.g., 'MEMORY.md' or 'memory/notes.md')",
},
"from": map[string]any{
"type": "number",
"description": "Start line number (1-indexed). Omit to read from beginning.",
},
"lines": map[string]any{
"type": "number",
"description": "Number of lines to read. Omit to read entire file.",
},
},
"required": []string{"path"},
}
}
func (t *MemoryGetTool) Execute(ctx context.Context, args map[string]any) *Result {
path, _ := args["path"].(string)
if path == "" {
return ErrorResult("path parameter is required")
}
var fromLine, numLines int
if from, ok := args["from"].(float64); ok {
fromLine = int(from)
}
if lines, ok := args["lines"].(float64); ok {
numLines = int(lines)
}
agentID := store.AgentIDFromContext(ctx)
if t.memStore == nil || agentID == uuid.Nil {
return ErrorResult("memory system not available")
}
userID := store.MemoryUserID(ctx)
agentStr := agentID.String()
// Try per-user first, then global
content, err := t.memStore.GetDocument(ctx, agentStr, userID, path)
if err != nil && userID != "" {
content, err = t.memStore.GetDocument(ctx, agentStr, "", path)
}
// Fallback: try leader's memory for team members.
if err != nil {
if leaderID := LeaderAgentIDFromCtx(ctx); leaderID != "" && leaderID != agentStr {
content, err = t.memStore.GetDocument(ctx, leaderID, userID, path)
if err != nil && userID != "" {
content, err = t.memStore.GetDocument(ctx, leaderID, "", path)
}
}
}
if err != nil {
return ErrorResult(fmt.Sprintf("failed to read %s: %v", path, err))
}
text := extractLines(content, fromLine, numLines)
if text == "" {
return NewResult(fmt.Sprintf("File %s is empty or the specified range has no content.", path))
}
data, _ := json.MarshalIndent(map[string]any{
"path": path,
"text": text,
}, "", " ")
return NewResult(string(data))
}
// extractLines extracts a range of lines from content.
// fromLine is 1-indexed. If 0, starts from beginning. If numLines is 0, returns all.
func extractLines(content string, fromLine, numLines int) string {
if fromLine <= 0 && numLines <= 0 {
return content
}
lines := strings.Split(content, "\n")
start := 0
if fromLine > 0 {
start = fromLine - 1
}
if start >= len(lines) {
return ""
}
end := len(lines)
if numLines > 0 && start+numLines < end {
end = start + numLines
}
return strings.Join(lines[start:end], "\n")
}