This commit introduces a multi-agent Swarm Engine to PicoClaw, enabling complex task orchestration through autonomous collaboration and long-term semantic memory. Key Features: - Actor Model Architecture: Every agent (node) runs in an isolated goroutine, communicating via a lightweight internal Event Bus. - Hierarchical Delegation: Manager nodes can dynamically spawn specialized worker nodes (Researchers, Analysts, etc.) to perform sub-tasks in parallel. - Hybrid Memory System: Combined SQLite for state persistence and Chromem-go for a persistent, cross-swarm Vector Knowledge Base. - Progressive Summarization: Implemented an intelligent memory pruning mechanism that summarizes older context before truncation to preserve findings without exceeding token limits. - Role-Based Access Control (RBAC): Configurable tool policies per role (e.g., Researchers can browse but not execute shell commands). Performance & Scaling: - Low Footprint: Idle memory usage is ~7-8 MB RSS. - Efficient Scaling: During a stress test with 10 concurrent agents performing intensive research, memory usage peaked at only 27 MB. - Per-Node Cost: Each active agent consumes approximately 0.6 MB to 2 MB of physical RAM depending on conversation length and summarization state. - Stability: Successfully handled 10 parallel LLM requests with zero race conditions, showcasing the robustness of the Go-based Actor model. Integration: - Native CLI Support: Added /swarm spawn, /swarm list, and /swarm status commands. - Mermaid Visualization: Support for /swarm viz <id> to generate organizational charts of active agent hierarchies. - Configurable: Roles, models, and security policies are fully customizable via config.json.
126 lines
No EOL
4.3 KiB
Go
126 lines
No EOL
4.3 KiB
Go
package memory
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import (
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"context"
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"database/sql"
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"encoding/json"
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"github.com/sipeed/picoclaw/pkg/swarm/core"
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_ "modernc.org/sqlite"
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)
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type SQLiteStore struct {
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db *sql.DB
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}
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func NewSQLiteStore(dbPath string) (*SQLiteStore, error) {
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db, err := sql.Open("sqlite", dbPath)
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if err != nil { return nil, err }
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s := &SQLiteStore{db: db}
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s.init()
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return s, nil
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}
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func (s *SQLiteStore) init() {
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s.db.Exec(`CREATE TABLE IF NOT EXISTS swarms (id TEXT PRIMARY KEY, goal TEXT, status TEXT, created_at DATETIME);`)
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s.db.Exec(`CREATE TABLE IF NOT EXISTS nodes (id TEXT PRIMARY KEY, swarm_id TEXT, parent_id TEXT, role JSON, task TEXT, status TEXT, output TEXT, stats JSON);`)
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s.db.Exec(`CREATE TABLE IF NOT EXISTS facts (swarm_id TEXT, content TEXT, confidence REAL, source TEXT, metadata JSON);`)
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}
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func (s *SQLiteStore) CreateSwarm(ctx context.Context, sw *core.Swarm) error {
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_, err := s.db.ExecContext(ctx, "INSERT INTO swarms VALUES (?, ?, ?, ?)", sw.ID, sw.Goal, sw.Status, sw.CreatedAt)
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return err
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}
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func (s *SQLiteStore) GetSwarm(ctx context.Context, id core.SwarmID) (*core.Swarm, error) {
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row := s.db.QueryRowContext(ctx, "SELECT id, goal, status, created_at FROM swarms WHERE id=?", id)
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var sw core.Swarm
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err := row.Scan(&sw.ID, &sw.Goal, &sw.Status, &sw.CreatedAt)
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return &sw, err
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}
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func (s *SQLiteStore) UpdateSwarm(ctx context.Context, sw *core.Swarm) error {
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_, err := s.db.ExecContext(ctx, "UPDATE swarms SET status=? WHERE id=?", sw.Status, sw.ID)
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return err
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}
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func (s *SQLiteStore) ListSwarms(ctx context.Context, status core.SwarmStatus) ([]*core.Swarm, error) {
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rows, _ := s.db.QueryContext(ctx, "SELECT id, goal, status, created_at FROM swarms WHERE status=?", status)
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defer rows.Close()
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var list []*core.Swarm
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for rows.Next() {
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var sw core.Swarm
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rows.Scan(&sw.ID, &sw.Goal, &sw.Status, &sw.CreatedAt)
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list = append(list, &sw)
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}
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return list, nil
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}
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func (s *SQLiteStore) CreateNode(ctx context.Context, n *core.Node) error {
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role, _ := json.Marshal(n.Role)
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stats, _ := json.Marshal(n.Stats)
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_, err := s.db.ExecContext(ctx, "INSERT INTO nodes VALUES (?, ?, ?, ?, ?, ?, ?, ?)", n.ID, n.SwarmID, n.ParentID, role, n.Task, n.Status, n.Output, stats)
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return err
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}
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func (s *SQLiteStore) GetNode(ctx context.Context, id core.NodeID) (*core.Node, error) {
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row := s.db.QueryRowContext(ctx, "SELECT * FROM nodes WHERE id=?", id)
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var n core.Node
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var role, stats []byte
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row.Scan(&n.ID, &n.SwarmID, &n.ParentID, &role, &n.Task, &n.Status, &n.Output, &stats)
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json.Unmarshal(role, &n.Role)
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json.Unmarshal(stats, &n.Stats)
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return &n, nil
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}
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func (s *SQLiteStore) UpdateNode(ctx context.Context, n *core.Node) error {
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stats, _ := json.Marshal(n.Stats)
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_, err := s.db.ExecContext(ctx, "UPDATE nodes SET status=?, output=?, stats=? WHERE id=?", n.Status, n.Output, stats, n.ID)
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return err
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}
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func (s *SQLiteStore) GetSwarmNodes(ctx context.Context, id core.SwarmID) ([]*core.Node, error) {
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rows, _ := s.db.QueryContext(ctx, "SELECT * FROM nodes WHERE swarm_id=?", id)
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defer rows.Close()
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var list []*core.Node
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for rows.Next() {
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var n core.Node
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var role, stats []byte
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rows.Scan(&n.ID, &n.SwarmID, &n.ParentID, &role, &n.Task, &n.Status, &n.Output, &stats)
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json.Unmarshal(role, &n.Role)
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json.Unmarshal(stats, &n.Stats)
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list = append(list, &n)
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}
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return list, nil
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}
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func (s *SQLiteStore) SaveFact(ctx context.Context, f core.Fact) error {
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meta, _ := json.Marshal(f.Metadata)
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_, err := s.db.ExecContext(ctx, "INSERT INTO facts VALUES (?, ?, ?, ?, ?)", f.SwarmID, f.Content, f.Confidence, f.Source, meta)
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return err
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}
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func (s *SQLiteStore) SearchFacts(ctx context.Context, id core.SwarmID, q string, limit int, global bool) ([]core.FactResult, error) {
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query := "SELECT content FROM facts WHERE swarm_id=? AND content LIKE ? LIMIT ?"
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args := []any{id, "%" + q + "%", limit}
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if global {
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query = "SELECT content FROM facts WHERE content LIKE ? LIMIT ?"
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args = []any{"%" + q + "%", limit}
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}
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rows, _ := s.db.QueryContext(ctx, query, args...)
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defer rows.Close()
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var res []core.FactResult
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for rows.Next() {
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var content string
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rows.Scan(&content)
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res = append(res, core.FactResult{Content: content, Score: 1.0})
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}
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return res, nil
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}
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func (s *SQLiteStore) ClearMemory(ctx context.Context, id core.SwarmID) error {
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_, err := s.db.ExecContext(ctx, "DELETE FROM facts WHERE swarm_id=?", id)
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return err
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} |