Roadmap

Current Status

Current Version: v2.6 (April 2026)

WASP is in active production deployment. All systems below are complete and operational.

Completed Systems

• Event-driven architecture (Redis Streams, consumer groups, at-least-once delivery)
• Goal Engine with TaskGraph execution (DAG, plan critic, plan lock, duplicate detection)
• Dual-layer planning (PlanGenerator + PlanCritic LLM validation)
• 37 built-in skills across 5 capability levels
• Custom Python skill creation and management via skill_manager
• Skill Evolution (automatic synthesis from recurring patterns, AST validation)
• 41 scheduler background jobs (health, learning, perception, pruning, weekly DB maintenance)
• 18 memory systems (episodic, semantic, procedural, visual, vector, KG, self-model, temporal, goal-scoped, ranked retrieval, reflection, behavioral rules, learning examples, dream log, recovery memory, skill patterns, entity states, state predictions)
• Memory ranking (composite score: 0.5×similarity + 0.3×recency + 0.2×importance)
• Knowledge Graph with Redis cache (rule-based NLP extraction)
• Temporal World Model (world_timeline table, price/state extraction, trend detection)
• Multi-agent orchestration (AgentOrchestrator, AgentRuntime, CapabilitySandbox, inter-agent bus)
• Dream Mode (memory consolidation, KG enrichment, LLM reflection, failure pattern analysis)
• Autonomous Goal Generator (proactive LLM-evaluated goal creation, rate limited)
• Background Perception (crypto price monitoring, KG-sourced assets)
• Behavioral Learning Loop (correction detection, LLM rule synthesis, dedup + conflict detection)
• Epistemic State tracking (domain confidence, symmetric ±0.015 calibration)
• Self-Integrity Monitor (6h cross-check of self-model vs actual performance)
• Cognitive Pressure Index (composite 0–100 metric, actuator guard at >80)
• Opportunity Engine (proactive automation suggestions from episodic pattern detection)
• Self-Reflection Engine (goal-level post-mortem insights, Redis TTL 7d)
• Resource Governor (Redis-backed rate limiter: goal slots, LLM budget, API caps)
• Decision Layer (pre-LLM heuristic classifier, 5 strategies, 13 fast-paths)
• Response Validation & Recovery Engine (deterministic validator, 2-retry auto-recovery, RecoveryMemory)
• Response Grounding Engine (9 checks: weak response, generic phrase, status marker, intent evidence gate, anti-hallucination guard)
• DomainLock Hardening (root normalization, semantic category guards, immutable anchor, cross-turn stale lock clearance)
• Active Flow Context Lock (per-chat Redis state, TTL 15min, cross-domain hallucination prevention)
• Planning Mode Hard Override (5-layer execution block, zero skills when "don't execute")
• Universal Response Contract (response-type detection, type-specific structure rules)
• Intent Completeness Engine (4-strategy multi-part extraction, one completeness retry)
• Voice/Audio Input (Telegram voice → Whisper transcription → full pipeline)
• Video Input (Telegram video → ffmpeg first frame → vision pipeline)
• Universal Interaction Validation Layer (pre-click target validation, post-click interference detection, result-state confirmation, validated screenshot capture)
• div-button SPA Support (React/Vue <div> as submit button — 17track.net and others)
• Browser Session Lifecycle (idle reaper daemon, 300s timeout, CPU: 81% → 0.25%)
• Browser URL blocklist (file://, javascript:, data:, vbscript:, RFC-1918, loopback, cloud metadata)
• Multilingual Auto-Detect (10 languages: EN/ES/PT/FR/DE/ZH/JA/KO/AR/RU; localized fallback responses)
• Domain Drift Protection (browser→crypto/email substitution detection, should_retry=False on confirmed substitution)
• HealthState Adaptive Execution (CPU/RAM/latency-based light mode hint injection)
• SaccadicVision Change Detection Daemon (2s SHA-1 polling, browser content change events)
• Dream Failure Pattern Analysis (7-day audit error classification into FailurePattern records)
• Self-Improve Soft Safety Gate (deterministic pattern gate, BLOCK/WARN/ALLOW, 13 safety-weakening patterns)
• Self-Improve SHA-256 sidecar integrity (tamper detection for persisted patches)
• 40+ integration connectors (Slack, Discord, GitHub, Telegram, Notion, Gmail, smart home, etc.)
• 11 LLM providers (Anthropic, OpenAI, Google, xAI, Mistral, DeepSeek, Moonshot/Kimi, OpenRouter, Perplexity, HuggingFace, Ollama local)
• Dashboard v2.5 restructuring (5 sections, 24 pages, 5 new dedicated pages)
• Config Center (prime.md live editor, 12 feature flags, Redis config:overrides persisting across restarts)
• CSRF protection, audit logging (keyset pagination), secret redaction
• Self-Repair (SelfHealer) + Self-Improvement (code patching, surgical edits, package install)
• Sovereign Mode (MAX_SKILL_ROUNDS=12, doubled cognitive budgets)
• deep_scraper built-in (Playwright/Crawlee, SSRF-protected, YouTube transcripts)
• Audit Log Retention job (daily bounded deletion, configurable retention window)
• Bounded Redis streams (maxlen=10000 on all xadd() calls)
• PEL zombie recovery (xautoclaim at startup clears idle pending entries)
• Composite DB index on audit_log(chat_id, timestamp)
• Panic Reset page (hard-confirmation UI, 17 table wipe, VACUUM FULL, AuditLog entry)
• SSRF protection on fetch_url (matches http_request protection)
• Self-improve syntax validation + backup (ast.parse + timestamped backup before overwrite)
• Shell audit logging (every invocation logged with redacted command and goal context)
• Behavioral rule conflict detection (negation-word analysis, 35% overlap threshold)
• Health dashboard: learning queue depth (visual thresholds at ≥20 and ≥40)
• Boot model liveness ping (8s timeout, shows "live ✓" / "unreachable ✗" in boot message)
• Weekly VACUUM ANALYZE (db_maintenance job, AUTOCOMMIT, no table locking)

Planned Features

Near-Term

Vector Memory Enhancement

• Automatic embedding model pull on first enable
• Cross-session semantic memory search with auto-clustering
• Hybrid retrieval (vector + BM25 keyword)

Text-to-Speech Responses

• Voice responses via Telegram
• Wake word detection for local deployment

Structured Output Validation

• JSON schema validation for skill outputs
• Type-safe skill parameter validation at registration time

Medium-Term

MCP (Model Context Protocol) Full Support

• Connect to any MCP server as a skill source
• MCP server hosting (expose WASP skills as MCP)
• Dynamic tool discovery from MCP endpoints

Multi-Modal Memory

• Store and retrieve audio, video, and document content
• Cross-modal search (text → finds related images)

Workflow Builder

• Visual workflow editor in the dashboard
• Trigger-based automation (webhook → goal)
• Scheduled workflow templates

Enhanced Security

• Skill sandboxing via container isolation (separate process per skill)
• Fine-grained permission model per user
• Hardware token support for dashboard auth

Long-Term

Meta-Agent Architecture (v2)

• Fully autonomous agent team coordination
• Hierarchical goal decomposition
• Cross-agent memory sharing with privacy controls

Federated Deployment

• Multiple WASP instances coordinating
• Distributed goal execution across nodes

Plugin Marketplace

• Community skill packages
• One-click skill installation via ClawHub

Version History

Version	Key Features
Phase 1–6	Core agent, skills, memory, scheduler
Phase 7	Health monitor, self-repair, introspector
Phase 8	Security hardening, dashboard, CSRF
Phase 9	Agent freedom: shell, python, browser skills
Phase 10–16	Cognitive systems: KG, temporal, epistemic, dream
Phase 17	Multi-agent orchestration v1
Phase 18	QA/SRE audit, 208 tests
v1.5	Skill evolution, world model, behavioral learning, CPI, integrity monitor
v1.6	Sovereign mode, autonomous goals, self-improvement, decision layer foundation
v1.7	Opportunity Engine, Self-Reflection Engine, Resource Governor
v1.8	Multi-agent v2, AgentManagerSkill, Goal Priority Axis
v1.9	Response Validation & Recovery, Voice/Audio input, Behavioral Learning Loop
v2.0	Active Flow Context Lock, Planning Mode Override, Response Contract, Intent Completeness
v2.1	Browser Session Reaper, Multilingual Auto-Detect, Domain Drift Protection, production audit
v2.2	deep_scraper built-in, dashboard streaming, 37 skills, 21-bug audit
v2.3	Universal Interaction Validation, div-button SPA, enforcement loop fix
v2.4	Response Grounding Engine (9 checks), DomainLock hardening
v2.5	Dashboard restructuring, 5 new pages, Config Center, HealthState, SaccadicVision, Dream failure analysis, 11-fix audit
v2.6	Panic Reset, SSRF on fetch_url, shell audit logging, behavioral conflict detection, weekly VACUUM ANALYZE, boot liveness ping, 10-fix hardening pass

Contributing

WASP is under active development. The codebase is structured for extensibility:

• New skills: Add to src/skills/builtin/ or via skill_manager
• New scheduler jobs: Add callable class to src/scheduler/ and register in main.py
• New connectors: Add to src/integrations/connectors/ and register in main.py
• New memory types: Add module to src/memory/ and inject into build_context()

See Extending WASP for implementation guides.