🧠 Prism Coder

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Persistent memory + tool-calling intelligence for AI agents. (formerly Prism MCP)

A Model Context Protocol server that gives Claude, Cursor, and other AI tools a Mind Palace — long-term memory that survives across sessions, with semantic search, cognitive routing, a visual dashboard, and the open-weights prism-coder:7b / prism-coder:14b LLM fleet for offline tool-calling (BFCL Gold Certified, 100 % JSON validity).

Renamed in v14.0.0: the project is now Prism Coder to cover both the Mind Palace memory server and the prism-coder:7b / prism-coder:14b LLM fleet on HuggingFace + Ollama. The npm package stays prism-mcp-server so existing install URLs and mcp.json entries keep working — the prism-coder binary has been the canonical entry point since v12.

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What Prism Coder does

💾 Your AI remembers across sessions

Every conversation feeds the Mind Palace. Next session, your AI agent loads the right context automatically — no re-explaining.

🔍 Semantic search over your history

Ask "what did I decide about the auth flow last month?" and get the answer with citations. Vector search + keyword + graph traversal.

🧬 Cognitive routing

Different memory types live in different stores: episodic (what happened), semantic (what's true), procedural (how to do X). The router picks where to store and where to retrieve.

🛡 Local-first

Free tier runs entirely on your machine — SQLite, local embedding model, no API keys, no cloud. Paid tier adds cloud sync via Synalux portal.

⚡ Zero-search retrieval

Holographic Reduced Representations (HRR) for instant similarity lookups without an index. ~5ms over 100K memories.

🌐 Multi-agent Hivemind

Multiple AI agents share the same Mind Palace. Each agent has a role (dev / qa / pm / etc.) and sees scoped context. Heartbeat + roster for coordination.

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Get started

# Install globally
npm install -g prism-mcp-server

# Or use npx (no install)
npx prism-mcp-server

Add to Claude Desktop / Cursor config:

{
  "mcpServers": {
    "prism": {
      "command": "npx",
      "args": ["-y", "prism-mcp-server"]
    }
  }
}

That's it. Open Claude / Cursor and your AI now has memory.

More setup details in docs/SETUP_GEMINI.md.

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How AI agents use it

Tool	What it does
session_load_context	Recover prior session's state on boot
session_save_ledger	Append immutable session log entry
session_save_handoff	Save live state for the next session
knowledge_search	Semantic + keyword search over all memories
query_memory_natural	Natural-language Q&A over your Mind Palace
extract_entities	Pull people / projects / decisions from text
session_synthesize_edges	Auto-link related memories into a graph

(35+ tools total — full TypeScript signatures in src/tools/. Architecture overview in docs/ARCHITECTURE.md.)

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Plans

	Free (local)	Paid (Synalux portal)
Local SQLite memory	✅	✅
Semantic search	✅ (local embedding)	✅ (cloud-backed)
Cross-device sync	—	✅
Hivemind multi-agent	✅ local team	✅ + cloud roster
Auto-Scholar (web research → memory)	—	✅
HRR Zero-Search retrieval	✅	✅
Custom domains / SSO	—	Enterprise

The thin-client architecture: when authenticated to Synalux, Prism Coder routes through the portal for paid features. When not authenticated (or PRISM_FORCE_LOCAL=1), runs purely local. Same binary.

Pricing →

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What you can build with it

• Persistent coding assistant that remembers your codebase, your decisions, your team's conventions
• Research agent that builds knowledge over time — Auto-Scholar pipeline ingests papers / docs and synthesizes
• Clinical scribe that retains patient context across visits (HIPAA-compliant cloud + local)
• Customer support agent that learns from every ticket
• Writing assistant that knows your voice, your prior drafts, and what you've already published

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Companions

Synalux — VS Code Extension

Memory-augmented AI inside VS Code, backed by Prism. 20 multimodal tools, multi-agent orchestration, 12-language support. Works offline (Ollama) or cloud (OpenRouter). HIPAA-compliant healthcare workflows.

# Install from terminal
code --install-extension synalux-ai.synalux

Or open VS Code → Extensions (⇧⌘X) → search "Synalux" → Install.

PrismAAC

AAC communication app for non-speaking users. Powered by Prism's spreading-activation phrase ranking + on-device 7B model. macOS / iOS / Android via web. → github.com/dcostenco/prism-aac

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🆕 Prism as Foundation (v14.0.0)

As of v14.0.0, Prism's algorithm exports are a stable public contract under SemVer. External systems can port actrActivation.ts (ACT-R cognitive decay), spreadingActivation.ts (the 0.7 similarity + 0.3 activation hybrid score), routerExperience.ts (experience bias with MIN_SAMPLES=5 cold-start gate), compactionHandler.ts (the 25KB prompt-budget cap), and graphMetrics.ts (warning ratios) with citations and pin a Prism version.

Reference consumers

Consumer	What it uses from Prism
Audit hooks framework	ACT-R decay (d=0.25 lesson rate), spreading activation hybrid score (0.7/0.3), experience bias (MIN_SAMPLES=5, MAX_BIAS_CAP=0.15), graph-metrics warning ratios (0.20 / 0.30 / 0.40), compaction's 25KB prompt-budget. 327 tests pin every constant — CI catches divergence automatically.
PrismAAC	Spreading-activation phrase ranking (recency × frequency × per-user history). Caregiver corrections auto-harvest into the personalization corpus via the audit-hooks postflight harvester. The on-device 7B model + this algorithm stack is what makes PrismAAC defensible.
Synalux portal	Tier-aware model routing using experience bias on prior outcomes per fingerprint. HIPAA-compliant clinical scribe with on-device-first privacy guarantees.

See docs/WOW_FEATURES.md for the algorithm catalogue. Release notes in docs/releases/v14.0.0-prism-as-foundation.md.

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📚 Architecture, cognitive systems, and full feature catalog

Detailed docs in this repo:

• docs/ARCHITECTURE.md — system architecture, memory routing, HRR
• docs/SETUP_GEMINI.md — Gemini configuration
• docs/self-improving-agent.md — adversarial eval / anti-sycophancy
• docs/rfcs/ — design RFCs
• docs/releases/ — per-version release notes
• CHANGELOG.md — version history (v12.5 Unified Billing, v11.6 Hivemind, v11.5.1 Auto-Scholar, etc.)
• CONTRIBUTING.md — contributor guide

The original 1933-line README is preserved in git history. To browse the prior version (full feature catalog, Cognitive Architecture v7.8, Autonomous Cognitive OS v9.0, HRR Zero-Search, Adversarial Evaluation walkthroughs, Universal Import patterns, competitive analysis vs LangMem/MemGPT/Letta/Zep, v12.5 Unified Billing details, v11.6 Hivemind, v11.5.1 Auto-Scholar): git show HEAD~1:README.md.

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License

BUSL-1.1 — Business Source License. Free for non-production use. Production use requires a Synalux subscription or commercial license. After 2 years, converts to MIT.