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Read the MindForge engine over MCP: knowledge graph, project health, and audit log.
Read the MindForge engine over MCP: knowledge graph, project health, and audit log.
The MindForge MCP server is a well-structured developer tool with appropriate dependencies and clear purpose. However, the compiled output contains minified/bundled third-party code (ajv, zod, MCP SDK) which obscures visibility into actual runtime behavior. The server appears to have proper input validation via Zod schemas and uses standard MCP patterns, but the inability to review the actual source TypeScript code prevents deeper security analysis. No obvious malicious patterns detected, but bundle opacity warrants attention. Supply chain analysis found 6 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue (1 critical, 0 high severity).
4 files analyzed · 11 issues found
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Set these up before or after installing:
Environment variable: CLAUDE_PROJECT_DIR
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-sairam0424-mindforge": {
"env": {
"CLAUDE_PROJECT_DIR": "your-claude-project-dir-here"
},
"args": [
"-y",
"mindforge-cc"
],
"command": "npx"
}
}
}From the project's GitHub README.
An agentic intelligence framework for Claude Code — orchestrates multi-agent workflows with governance, memory, and autonomous execution. Production-hardened with true parallelism, streaming SDK, and zero-trust security. Install once, get structured AI-driven development with built-in quality gates.
npx mindforge-cc install now delivers all 174 slash commands, 73 skills, 154 subagents, and the complete .mindforge/ framework. (v11.3.0 shipped a too-narrow npm allowlist that silently dropped commands and skills — fixed here, with a tarball regression test so it cannot recur.).claude/agents/, fully rebranded and collision-safe. Additive and backward-compatible.See CHANGELOG.md for full release history.
MindForge v11.0.0 "Sovereign Stability" is a production-hardening release focused on reliability, performance, and real-world deployment readiness. Key highlights:
streamExecution() with AsyncIterable, and batchExecute() for high-throughput integrations./api/v1/system health endpoint, P95 latency tracking, heap health monitoring, and real EIS client with retry logic.This release ships 211 personas, 73 skills, 154 specialized subagents, 174 commands, 18 pillars, and 49 swarm templates across 12 engineering domains.
Install MindForge's commands, subagents, and skills directly from the marketplace — no project files written:
/plugin marketplace add sairam0424/MindForge
/plugin install mindforge@mindforge
Prefer just a slice (e.g. Python agents)? Install a focused pack like
mindforge-lang@mindforge instead. See docs/plugin-installation.md
for all 11 plugins, token-budget guidance, and team setup.
The npx installer also writes the complete .mindforge/ engine (governance, memory,
planning) into your project:
# For Claude Code
npx mindforge-cc@latest --claude --global
# For Antigravity
npx mindforge-cc@latest --antigravity --global
Enable system-wide /mindforge commands for your primary AI coding runtime:
npm install -g mindforge-cc@latest
Initialize MindForge in an existing repository with specialized agent identities:
# For Claude Code
npx mindforge-cc@latest --claude --local
# For Antigravity
npx mindforge-cc@latest --antigravity --local
Production Hardening (v11.0.0) — LRU caches, atomic JSON writes, log rotation, HANDOFF validation, and temporal snapshot GC for crash-safe long-running sessions.
True Wave Parallelism (v11.0.0) — Semaphore-based concurrent wave execution with configurable max concurrency replaces sequential dispatch.
Streaming SDK (v11.0.0) — WebSocket event streaming, streamExecution() AsyncIterable, batchExecute(), model streaming across Anthropic/OpenAI/Gemini providers.
Graduated Intelligence (v11.0.0) — Adaptive tier escalation (+1/+2/MAX) with cost-awareness, 3-tier stuck detection, and adaptive context windows (10/20/30).
Security Hardening (v11.0.0) — Ephemeral enclave keys, session-scoped ZTAI, time-limited RBAC elevation, dashboard rate limiting (100 req/min/IP), token expiration.
Observability (v11.0.0) — /api/v1/system health endpoint, P95 latency ring buffer, heap health monitoring, real EIS client with exponential backoff.
Grounded Wave Execution (v9.0.0) — AutoRunner reads HANDOFF.json wave groups, dispatches tasks with audit tracing, persists progress, and resumes on restart (Pillar XXIV).
Model Topology Modernization (v9.0.0) — All model references updated to the Claude 4.x family: claude-opus-4-7, claude-sonnet-4-6, claude-haiku-4-5 (Pillar XXV).
Unified Memory Architecture (v9.0.0) — Knowledge and graph edges consolidated into SQLite (celestial.db) with FTS5 search. Four JSONL stores replaced by one queryable store (Pillar XXVI).
Schema Migration Engine (v9.0.0) — _migrations table with versioned migration tracking and transaction-wrapped bulk imports (Pillar XXVII).
Integration Test Chain (v9.0.0) — 27-assertion end-to-end test suite validating the full execution pipeline (Pillar XXVIII).
Sovereign Identity Synthesis (v8.1.1) — Autonomous SOUL.md generation derived from reasoning traces and interaction sentiment (Pillar XIX).
Autonomous SRE Layer (v8.2.0) — Self-healing production reliability engine with reactive sentinel observability and adversarial remediation auditing (Pillars XX-XXIII).
Unified Persistence Layer (v8.0) — Centralized SQLite/FTS5 engine for sub-millisecond reasoning audits and semantic reasoning (Pillar XV).
Federated Mesh Synthesis (v8.0) — Signed knowledge handoffs via MindForge Bundles (.mfb) and federated intelligence synchronization (Pillar XVI).
Autonomous Skill Evolution (v8.0) — Self-generating persistent skills from reasoning traces with logic-drift mining (Pillar XVII).
Orbital Governance (v8.0) — Hardware-bound (HSM/Biometric) attestation for high-blast-radius security gates (Pillar XVIII).
Post-Quantum Agentic Security (v7.0) — Lattice-based (Dilithium-5) signatures and ZK-Proof bypasses (Pillar XI).
Proactive Semantic Homing (v7.0) — Autonomous "Intent Hunting" and peer-healing mesh behavior (Pillar XII).
Autonomous Resource Harvesting (v7.0) — Real-time token arbitrage and dynamic task routing (Pillar IX).
Neural Drift Remediation (v7.0) — Semantic density heuristics and automated reasoning recovery (Pillar X).
Interactive Temporal Steering (v5.10) — Full history scrubbing, hindsight state repair, and real-time temporal slider navigation (Pillar VII).
AgRevOps Hub (v6.0) — Dynamic ROI tracking ($100/hr mapping), Milestone Velocity forecasting, and Governance Debt monitoring (Pillar VIII).
Sovereign Reason Enclave (v5.8) — TEE-simulated reasoning isolation with Zero-Knowledge (ZK) Audit Trails (Pillar VI).
Multi-Cloud Arbitrage (v5.7) — Dynamic routing across Vertex AI, Bedrock, and Azure with intelligence-first task affinity (Pillar V).
Sentinel Execution (v5.6) — JIT Binary Runtime Attestation and Zero-Trust Skill Enforcement (Pillar IV).
Predictive Agentic Reliability (v5.5) — Advanced loop detection and self-healing resonance (Pillar III).
Dynamic Blast Radius (v5.3) — Real-time impact analysis and circuit-breaker safety in the federated sync (Pillar II).
Semantic Vector Consensus (v5.2) — FIM v2 with cosine-similarity conflict resolution (Pillar I).
Human-Agent Handover (v5.0) — Nexus State Bundles and mid-wave steering injection.
Autonomous FinOps (v4.3) — Dynamic C2C (Confidence-to-Cost) routing.
Proactive Equilibrium (v4.3) — Real-time Wave Divergence monitoring and autonomous state recovery.
MindForge Nexus (v4.1) — High-fidelity ART (Agentic Reasoning Tracing).
Zero-Trust Identity (v4.2) — DID-signed non-repudiable audit logs with HSM/Enclave support.
Global Intelligence Mesh (v4.2) — Cross-repo knowledge sharing and Ghost Pattern Detection.
Context Sharding (v3) — relevance-dense memory management (40% token savings)
Adversarial Synthesis (v3) — zero-drift logic through red/blue model debate
RAG 2.0 (v3) — automatic semantic shadowing for background pattern retrieval
Role personas — specialised agent modes for each task type
Specialized Identities — custom /agents/ workspace with enriched IDENTITY.md protocols
Skills — just-in-time domain knowledge loaded on demand
Wave execution — parallelism with dependency safety
Autonomous Engine — walk-away execution with steerability
Real-time Dashboard — web-based observability with Temporal Slider
Browser Runtime — headful/headless visual QA and sessions
Multi-Model Intelligence — dynamic routing, adversarial reviews, and deep research (v2)
Persistent Knowledge Graph — long-term memory across all engineering sessions (v2)
Self-Building Skills — automatically capture knowledge from any source into reusable skills (v2)
Quality gates — compliance and security are non-bypassable
Audit trail — append-only history of every action
MindForge adapts to your existing engineering environment via runtime flags:
| Runtime | Global Command | Local Setup |
|---|---|---|
| Claude Code | mindforge-cc --claude --global | mindforge-cc --claude --local |
| Antigravity | mindforge-cc --antigravity --global | mindforge-cc --antigravity --local |
| Cursor | mindforge-cc --cursor --global | mindforge-cc --cursor --local |
| GitHub Copilot | mindforge-cc --copilot --global | mindforge-cc --copilot --local |
| Gemini CLI | mindforge-cc --gemini --global | mindforge-cc --gemini --local |
mindforge-cc --runtime claude,cursor --localmindforge-cc --local --with-utils (Installs specialized bin scripts)mindforge-cc --local --minimal (Only basic protocols, no persona library)Open Claude Code or Antigravity in your project directory and run:
/mindforge:health
If issues are found, run:
/mindforge:health --repair
/mindforge:init-project
/mindforge:plan-phase 1
/mindforge:execute-phase 1
/mindforge:verify-phase 1
/mindforge:ship 1
/mindforge:map-codebase
/mindforge:do I want to plan the next phase
/mindforge:plan-phase 1
/mindforge:init-project
→ Requirements interview
→ Creates PROJECT.md, REQUIREMENTS.md, STATE.md
/mindforge:do <text>
→ Smart natural language dispatcher (v2)
/mindforge:note <text>
→ Zero-friction idea capture and todo promotion (v2)
/mindforge:ui-phase 1
→ Create UI design contract (UI-SPEC.md) (v2)
/mindforge:plan-phase 1 [--ads]
→ Discuss scope and decisions
→ Research domain (parallel)
→ Create atomic XML task plans
→ (Optional) Run Adversarial Decision Synthesis (ADS) loop
/mindforge:execute-phase 1
→ Wave-based parallel execution
→ One commit per task
→ Automated verification
/mindforge:ui-review 1
→ Retroactive 6-pillar visual audit (v2)
/mindforge:validate-phase 1
→ Requirement coverage and test gap audit (v2)
/mindforge:session-report
→ Automated post-session stakeholder summary (v2)
/mindforge:add-backlog <desc>
→ Park ideas in 999.x "parking lot" (v2)
/mindforge:review-backlog
→ Review and promote backlog items (v2)
/mindforge:plant-seed <idea>
→ Capture speculative ideas with triggers (v2)
/mindforge:workstreams
→ Parallel feature tracks with isolated state (v2)
/mindforge:execute-phase 1
→ Wave-based parallel execution
→ One commit per task
→ Automated verification
/mindforge:verify-phase 1
→ Human acceptance testing
→ Debug agent on failures
→ UAT sign-off
/mindforge:ship 1
→ Changelog generation
→ Final quality gates
→ PR creation
/mindforge:auto --phase 1
→ Walk-away autonomous execution (v2)
→ Intelligent stuck detection and node repair
→ External steering via steering-queue
/mindforge:qa
→ Systematic visual verification of UI changes (v2)
→ Automated regression test generation
→ Persistent browser sessions and daemon
/mindforge:cross-review
→ Adversarial multi-model code review and synthesis (v2)
→ Consensus detection and severity normalization
/mindforge:research
→ Deep research using Gemini 1.5 Pro 1M context (v2)
→ Codebase-wide context packaging and SSRF protection
/mindforge:costs
→ Real-time token usage and cost profiling (v2)
→ Daily budget tracking across all providers
/mindforge:remember
→ Manual knowledge management and search (v2)
→ Persistent knowledge graph retrieval and promotion
/mindforge:dashboard
→ Real-time web observability and governance at localhost:7339 (v2)
→ Live audit logs, metrics, activity, and team feed
/mindforge:learn
→ Automatically capture skills from Docs, Sessions, or npm (v2)
→ 7-dimension quality scoring and injection protection
/mindforge:marketplace
→ Search, install, and publish community skills (v2)
→ Verified installation via npm-based registry
/mindforge:new-runtime
→ Scaffold custom runtime configurations for any AI agent (v2)
MindForge supports multiple interaction models to fit your engineering workflow:
/mindforge:agent <persona> for real-time delegation./mindforge:tdd, /mindforge:architecture, and /mindforge:planner.node bin/mindforge-cli.js spawn <persona> for scripted tasks./mindforge:update
/mindforge:update --apply
/mindforge:migrate --from v10.7.0 --to v11.0.0
Plugins extend MindForge via the mindforge-plugin-* namespace.
/mindforge:plugins list
/mindforge:plugins install mindforge-plugin-<name>
/mindforge:plugins validate
/mindforge:tokens --profile
See .mindforge/production/token-optimiser.md.
docs/user-guide.mddocs/troubleshooting.mddocs/ci-quickstart.mddocs/requirements.mddocs/quick-verify.mddocs/upgrade.mddocs/faq.mdRELEASENOTES.mddocs/release-checklist-guide.mddocs/usp-features.mddocs/tutorial.mddocs/reference/commands.mddocs/reference/config-reference.mddocs/reference/sdk-api.mddocs/reference/skills-api.mddocs/reference/audit-events.mddocs/security/SECURITY.mddocs/security/threat-model.mddocs/architecture/README.mddocs/contributing/CONTRIBUTING.md/api/v1/system health endpoint, P95 latency ring buffer, heap health monitoring, EIS client de-stub with real fetch and retry logic.batchExecute(), model streaming (Anthropic/OpenAI/Gemini), migration script from v10.7.0.SOUL.md from execution traces..mfb (MindForge Bundles)..skill.md artifacts.PillarHealthTracker.CloudBroker with automated failure remediation./mindforge:learn.plan → execute → verify → ship lifecycle.MindForge never stores credentials in files. Review:
docs/security/SECURITY.mddocs/security/threat-model.mdMIT © 2026 MindForge Team eam
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