The core unbinding engine is verified via Synalux's cognitive testing suite:
- Core Math: Holographic Reduced Representations (hdc.ts)
- Unit Tests: HDC Performance & Capacity Tests
- Benchmarks: O(1) Retrieval Comparison Script
Informed by Anderson's ACT-R (Adaptive Control of Thought—Rational), Collins & Loftus spreading activation networks (1975), Kanerva's SDM (1988), Hebb's learning rule, and LeCun's "Why AI Systems Don't Learn" (Dupoux, LeCun, Malik).
Prism is built for high-compliance environments where data privacy is non-negotiable.
- Local-First Architecture: By default, all memory, embeddings, and cognitive processing happen on your device. No clinical data or PHI ever leaves your infrastructure.
- Fail-Closed Pipelines: The "Dark Factory" pipeline ensures that if any security gate (PII detection, adversarial check) fails, the entire process is halted immediately.
- SCM Scan & Audit: Integrated tools for secret detection in codebases and Dockerfile analysis, with immutable audit trails for every agent decision.
- HIPAA Hardened: Optimized for secure clinical deployments, with zero-retention defaults and encryption at rest.
Prism MCP is open-source and free for individual developers under the BUSL-1.1 license. For teams and enterprises building autonomous AI workflows or integrating MCP-native memory at scale, we offer professional consulting and setup packages.
Perfect for engineering teams adopting MCP tools and collaborative agents.
- What's included: Full team rollout, managed Supabase configuration (for multi-device sync), Universal Import of legacy chat history, and dedicated setup support.
- Model: Fixed-price engagement.
For teams building advanced AI agents or autonomous pipelines.
- What's included: "Dark Factory" pipeline implementation tailored to your workflows, adversarial evaluator tuning, custom HDC cognitive route configuration, and local open-weight model integration (BYOM).
- Model: Retainer or project-based.
Full-scale deployment for high-compliance environments.
- What's included: Active Directory / custom JWKS auth integration, Air-gapped on-premise deployment, custom OTel Grafana dashboards for cognitive observability, and custom skills/tools development.
- Model: Custom enterprise quote.
Interested in accelerating your team's autonomous workflows? 📧 Contact us for a consultation — let's build your organization's cognitive memory engine.
Current: v12.0.0 — Unified Billing & Agent Skill Ecosystem (CHANGELOG)
| Release | Headline |
|---|---|
| v12.0.0 | 💳 Unified Billing & Agent Skill Ecosystem — Synalux-priced tiers ($19/$49/$99), 14-day trial, 54 skills, BUSL-1.1 license. |
| v11.6.0 | 🏗️ Agent Infrastructure Resilience — Production-grade serialized queue, memory guardian, queue watchdog, status dashboard. 115/115 tests. |
| v11.5.1 | 🧠 Structural GRPO Alignment — Perfect 100% accuracy cross-validated on Synalux Elite platform. |
| v11.0.1 | 🧪 Production Stability — Field-tested Zero-Search logic merge, local logic finalization, HIPAA-hardened security refinement. |
| v11.0 | 🧠 Zero-Search Retrieval — Holographic Reduced Representations (HRR) + Deep Research Intelligence 🧪 Field Testing - Synalux |
| v10.0 | 🛡️ HIPAA-Hardened Local LLM — prism-coder:7b powers compaction + task routing 100% on-device. |
| v9.14 | 🧬 Dynamic Hardware Routing & Semantic Tool RAG — MLX SFT pipeline, Nomic pruning, GRPO alignment |
| v9.13 | 🔬 Local Embeddings & Zero-API-Key Semantic Search — nomic-embed-text-v1.5 on-device |
| v9.5 | 🛡️ Adversarial Behavioral Hardening — 24 forbidden openers, XML anti-tag system, sycophancy defense |
| v9.4 | 🔒 Security Sweep — command injection, path traversal, CORS, fail-closed rate limiter, bidirectional sync |
| v9.0 | 🧠 Autonomous Cognitive OS — Surprisal Gate, Cognitive Budget, Affect-Tagged Memory |
| v7.8 | 🧠 Cognitive Architecture — Hebbian consolidation, multi-hop reasoning, rejection gate |
| v7.0 | 🧬 ACT-R Activation Memory |
- v12.0: Distal Memory — Semantic clustering of long-term history with Active-Prism background maintenance.
- v13.0: Team Handoff — Encrypted peer-to-peer session syncing with multi-agent task routing and verifiable memory.
Q: Why is the dashboard project selector stuck on "Loading projects..."?
A: Fixed in v7.3.3. The root cause was a multi-layer quote-escaping trap in the abortPipeline onclick handler that generated a SyntaxError in the browser, silently killing the entire dashboard IIFE. Update to v7.3.3+ (npx -y prism-mcp-server). If still stuck, check that Supabase env values are properly set (unresolved placeholders like ${SUPABASE_URL} cause /api/projects to return empty). Prism auto-falls back to local SQLite when Supabase is misconfigured.
Q: Why is semantic search quality weak or inconsistent? A: Check embedding provider configuration and key availability. Missing embedding credentials reduce semantic recall quality and can shift behavior toward keyword-heavy matches.
Q: How do I delete a bad memory entry?
A: Use session_forget_memory for targeted soft/hard deletion. For manual cleanup and merge workflows, use the dashboard graph editor.
Q: How do I verify the install quickly?
A: Run npm run build && npm test, then open the Mind Palace dashboard (localhost:3000) and confirm projects load plus Graph Health renders.
- Some advanced text features may still benefit from a cloud API key. While
prism-coder:7bhandles core compaction and routing, high-level features like Morning Briefings and complex VLM captioning are optimized for cloud providers (GOOGLE_API_KEY,OPENAI_API_KEY, orANTHROPIC_API_KEY). Semantic search and basic compaction work 100% offline withembedding_provider=local. - Auto-load is model- and client-dependent. Session auto-loading relies on both the LLM following system prompt instructions and the MCP client completing tool registration before the model's first turn. Prism provides platform-specific Setup Guides and a server-side fallback (v5.2.1) that auto-pushes context after 10 seconds.
- MCP client race conditions. Some MCP clients may not finish tool enumeration before the model generates its first response, causing transient
unknown_toolerrors. This is a client-side timing issue — Prism's server completes the MCP handshake in ~60ms. Workaround: the server-side auto-push fallback and the startup skill's retry logic. - No real-time sync without Supabase. Local SQLite mode is single-machine only. Multi-device or team sync requires a Supabase backend.
- Embedding quality varies by provider. Gemini
text-embedding-004and OpenAItext-embedding-3-smallproduce high-quality 768-dim vectors. Prism passesdimensions: 768via the Matryoshka API for OpenAI models (native output is 1536-dim; this truncation is lossless and outperforms ada-002 at full 1536 dims). Local embeddings (nomic-embed-text-v1.5via@huggingface/transformers) provide good quality with zero API cost. Ollama embeddings are usable but may reduce retrieval accuracy. - Dashboard is HTTP-only. The Mind Palace dashboard at
localhost:3000does not support HTTPS. For remote access, use a reverse proxy (nginx/Caddy) or SSH tunnel. Basic auth is available viaPRISM_DASHBOARD_USER/PRISM_DASHBOARD_PASS. JWKS JWT auth is available viaPRISM_JWKS_URIfor agent-native authentication (works with Auth0, AgentLair (llms.txt), Keycloak, Cognito, or any standard JWKS endpoint). - Long-lived clients can accumulate zombie processes. MCP clients that run for extended periods (e.g., Claude CLI) may leave orphaned Prism server processes. The lifecycle manager detects true orphans (PPID=1) but allows coexistence for active parent processes. Use
PRISM_INSTANCEto isolate instances across clients. - Migration is one-way. Universal Import ingests sessions into Prism but does not export back to Claude/Gemini/OpenAI formats. Use
session_export_memoryfor portable JSON/Markdown export, or thevaultformat for Obsidian/Logseq-compatible.ziparchives. - Export ceiling at 10,000 ledger entries. The
session_export_memorytool and the dashboard export button cap vault/JSON exports at 10,000 entries per project as an OOM guard. Projects exceeding this limit should use per-project exports and time-based filtering to stay within the ceiling. This limit does not affect search or context loading. - No Windows CI testing. Prism is developed and tested on macOS/Linux. It should work on Windows via Node.js, but edge cases (file paths, PID locks) may surface.
BUSL-1.1
Keywords: MCP server, Model Context Protocol, Claude Desktop memory, persistent session memory, AI agent memory, cognitive architecture, ACT-R spreading activation, Hebbian learning, episodic semantic consolidation, multi-hop reasoning, uncertainty rejection gate, local-first, SQLite MCP, Mind Palace, time travel, visual memory, VLM image captioning, OpenTelemetry, GDPR, agent telepathy, multi-agent sync, behavioral memory, cursorrules, Ollama MCP, Brave Search MCP, TurboQuant, progressive context loading, knowledge management, LangChain retriever, LangGraph agent, business, enterprise, hipaa
