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.
37 lines
No EOL
1.1 KiB
Go
37 lines
No EOL
1.1 KiB
Go
package core
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import (
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"context"
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)
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type SwarmStore interface {
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CreateSwarm(ctx context.Context, swarm *Swarm) error
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GetSwarm(ctx context.Context, id SwarmID) (*Swarm, error)
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UpdateSwarm(ctx context.Context, swarm *Swarm) error
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ListSwarms(ctx context.Context, status SwarmStatus) ([]*Swarm, error)
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CreateNode(ctx context.Context, node *Node) error
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GetNode(ctx context.Context, id NodeID) (*Node, error)
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UpdateNode(ctx context.Context, node *Node) error
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GetSwarmNodes(ctx context.Context, swarmID SwarmID) ([]*Node, error)
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}
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type SharedMemory interface {
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SaveFact(ctx context.Context, fact Fact) error
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SearchFacts(ctx context.Context, swarmID SwarmID, query string, limit int, global bool) ([]FactResult, error)
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ClearMemory(ctx context.Context, swarmID SwarmID) error
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}
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type EventBus interface {
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Publish(topic string, event Event) error
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Subscribe(topic string, handler func(Event)) (Subscription, error)
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}
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type Subscription interface {
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Unsubscribe() error
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}
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type LLMClient interface {
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Chat(ctx context.Context, messages []Message, tools []ToolDef, model string) (*LLMResponse, error)
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Embed(ctx context.Context, text string) ([]float32, error)
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} |