Skip to main content
Glama

Prism Coder

Give your AI agent memory that lasts. Persistent sessions, knowledge graphs, and offline tool-routing — fully local and free.

npm MCP Registry License: AGPL-3.0 Models on HuggingFace

Prism Coder is an MCP server that gives Claude, Cursor, and other AI tools long-term memory that survives across sessions. It ships with the open-weight prism-coder model fleet (2B–32B) for fast, offline tool-routing — no cloud required.

No account needed. No API keys. Runs on your machine.
A paid subscription adds cloud sync, higher model tiers, and team features through the Synalux portal.


Quickstart

The free tier needs no account, no API key, and no cloud. Add the server to your MCP client:

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

Open Claude Desktop or Cursor and your agent now has memory backed by a local SQLite database (~/.prism-mcp/data.db).

Optional — local model fleet for offline tool-routing. Pull whichever fits your hardware:

ollama pull dcostenco/prism-coder:2b    # 2.3 GB · mobile / lightweight (99.1% routing accuracy)
ollama pull dcostenco/prism-coder:4b    # 3.4 GB · balanced (100% accuracy)
ollama pull dcostenco/prism-coder:14b   # 8.4 GB · Mac default (100% accuracy)
ollama pull dcostenco/prism-coder:32b   # 16 GB  · complex tasks (100% accuracy)

Prism detects both the namespaced (dcostenco/prism-coder:14b) and bare (prism-coder:14b) Ollama tags automatically.


Related MCP server: Knowledge Graph MCP Server

What it does

Your AI agent forgets everything between sessions. Prism fixes that — and adds verification, drift detection, and multi-agent coordination on top.

Mind Palace — persistent memory that survives across sessions

Every conversation feeds a persistent store. The next session loads the right context automatically — no re-explaining.

The dashboard shows your current project state, pending TODOs, intent health, and a neural knowledge graph — all built automatically from your agent sessions.

Ask "what did I decide about the auth flow last month?" and get an answer with citations, combining vector similarity, full-text search, and graph traversal.

Session History — immutable audit trail

Every session is logged with files changed, decisions made, and TODOs. Search, filter, and replay any past session.

Session Drift Detection

Long agent sessions can wander from their original goal. session_detect_drift compares current work against the stated goal and returns on_track / minor_drift / major_drift so the agent can self-correct.

Behavioral Verification — catch bad edits before they happen

AI agents apply patterns from checklists without understanding the real-world impact. The verify_behavior tool challenges the agent with a scenario it must answer before editing — forcing it to think through what the end user will experience.

Agent: "I'll revert this kitchen display change"
Prism: "⚠️ Scenario: A cook sees a 3-item ticket. One item is voided.
        What should the cook see after the void?"
Agent: "The ticket stays visible with the remaining 2 items."
Prism: "Correct — your revert would hide the ticket entirely."

17 built-in domains (billing, auth, ordering, clinical, HR, and more). Custom domains per workspace on Enterprise. No hooks needed — works in any MCP client.

Time Travel

Roll back to any previous session state. Compare diffs between versions. Restore a known-good state with one click.

Cognitive Routing

Three memory types, automatically sorted: episodic (what happened — session logs, decisions), semantic (what's true — facts, architecture), and procedural (how to do X — workflows, patterns). When you search, the router picks the right store instead of dumping everything.

Multi-Agent Hivemind

Coordinate multiple AI agents working on the same project. Each agent has its own session, but they share memory through the knowledge graph. The Hivemind Radar shows real-time agent status, tasks, and activity.

Search across all memories with highlighted results, knowledge graph editing, and memory density metrics.


Local-first and privacy

The free tier runs entirely on your machine. Paid tiers add cloud sync through the Synalux portal, which is what enables cross-device memory and team sharing.

Local tier (free)

Cloud tier (paid)

Memory storage

Local SQLite

Synalux portal (Supabase-backed)

Inference

Local Ollama models

Local models + cloud fallback

API keys required

None

Synalux subscription key

Web search / scrape

Not included

Via Synalux portal (provider keys server-side)

What leaves your machine

Nothing

Memory text + file paths + search queries, sent to the portal over TLS (PHI-redacted before transit)

Works offline

Local features yes; sync/cloud no

Handling sensitive data. All cloud writes pass through automatic redaction (SSNs, dates of birth, medical record numbers, phone numbers, emails, and clinical identifiers are stripped before transit). For regulated workloads, run the local tier for full air-gap, or use Enterprise which includes a HIPAA Business Associate Agreement.


Models

The prism-coder fleet uses Qwen3.5 for MCP tool-routing. The 14B and 32B are fine-tuned from Qwen3; the 2B and 4B slots use stock Qwen3.5-4B with prompt engineering at different quantization levels (100% routing accuracy without fine-tuning). They are not general-purpose chat models — they route reliably and run offline; Claude and other frontier models remain better at reasoning, coding, and open-domain work. The intended pattern is local routing with an optional cloud fallback for hard cases.

Model

Ollama tag

Size

BFCL Accuracy

Role

Tier

Qwen3.5-4B Q3_K_M

prism-coder:2b

2.3 GB

99.1% × 3 seeds

iPhone / mobile first gate

Free

Qwen3.5-4B Q4_K_M

prism-coder:4b

3.4 GB

100% × 3 seeds

Verifier + 8 GB+ devices

Free

prism-coder:14b

prism-coder:14b

8.4 GB

100% × 3 seeds

Default router

Standard+

prism-coder:32b

prism-coder:32b

16 GB

100% × 3 seeds

Complex tasks

Advanced+

Weights: huggingface.co/dcostenco (public GGUF). Latency depends on model size and hardware — see Benchmarks to measure it on your own machine rather than trusting a printed number.

Cascade

query → prism-coder:14b (local router, Mac default)
      → qwen3.5:4b (grounding verifier)
      → prism-coder:2b (iPhone / mobile, auto-selected by RAM)
      → prism-coder:32b (complex tasks, on demand)
      → cloud fallback (paid tiers, for max quality)

Benchmarks

Reproduce every number yourself. All evals are open-source and self-contained:

git clone https://github.com/dcostenco/prism-coder && cd prism-coder
pip install anthropic requests
python3 tests/benchmarks/prism-routing-100/benchmark.py --models 2b 4b 14b 32b

Routing eval (115 cases, 12 categories, 3-seed mean). On this narrow tool-routing task all fleet models achieve near-perfect accuracy. Be honest with yourself about what that means: the eval is near-saturated for this taxonomy — it measures whether the right one of a small set of MCP tools is selected, not general capability. The useful takeaway is offline routing reliability at zero cost, not that a 2.3 GB model rivals a frontier model in general.

Model

Routing accuracy

Notes

prism-coder:2b (Q3_K_M)

99.1% × 3 seeds

1 failure: regex→knowledge_search

prism-coder:4b / 14b / 32b

100% × 3 seeds

Perfect on all 115 cases

Claude (frontier, same eval)

~98%

Stronger everywhere outside this narrow task

Memory uplift (LoCoMo-Plus, self-published). A separate long-context dialogue benchmark (dcostenco/Locomo-Plus) measures how much structured memory helps a base model retain multi-day context. Results show large gains when a model is paired with Prism memory versus running raw. Note this benchmark is authored, run, and LLM-judged by this project — treat it as a reproducible demonstration, not an independent third-party result, and run it yourself with the commands in that repo.


Why Prism Coder

vs AI coding assistants

These tables are the maintainer's assessment as of June 2026. Verify claims that matter to you — products change fast.

Feature

Prism Coder

GitHub Copilot

Cursor

Windsurf

Amazon Q

Devin

Local inference (open-weight)

Works fully offline

✅ (free tier)

Persistent cross-session memory

Session drift detection

L3 grounding verifier

Behavioral verification (pre-edit)

MCP server (tools + memory)

Web IDE

VS Code extension

Flat-rate team pricing

❌ (per-seat)

❌ (per-seat)

HIPAA BAA available

✅ (Enterprise)

vs local AI / memory tools

Feature

Prism Coder

Ollama

LM Studio

Mem0

Zep

Local inference cascade

Cloud fallback

Persistent cross-session memory

Knowledge ingestion (MCP + webhook)

Cognitive routing (3-store)

Session drift detection

Native MCP server

Web IDE + VS Code extension

Pricing — flat-rate, not per-seat

Prism Coder

GitHub Copilot

Cursor

Amazon Q

Individual

$19/mo

$10/mo

$20/mo

$19/mo

Team (5 devs)

$49/mo flat

$95/mo

$200/mo

$95/mo

Enterprise (25 devs)

$99/mo flat

$195/mo

$1,000/mo

Custom


Plans

All on-device models are free to run locally via Ollama on every tier. A subscription gates cloud features, higher model ceilings, and increased limits. Local model ceilings are advisory — on-device models run on your Ollama regardless of plan; the ceiling gates cloud inference and prism_infer routing.

Free

Standard $19/mo

Advanced $49/mo

Enterprise $99/mo

Seats

1

1

up to 5

up to 25

Local model ceiling

up to 4b

up to 14b

up to 32b

up to 32b

Daily cloud inference

--

200

2,000

100,000

Cloud Coder (Web IDE)

--

100/day

1,000/day

100,000/day

Cloud search

--

50/day

500/day

100,000/day

Max output tokens

512

1,024

2,048

4,096

Cloud fallback

--

Claude Sonnet 4

Claude Sonnet 4

Priority + Sonnet 4

Grounding verifier (fact-check AI output)

--

Memory sync (cloud)

--

Knowledge / session memory

limited

unlimited

unlimited

unlimited

Analytics dashboard

--

HIPAA BAA

--

--

--

14-day free trial on paid plans. Pricing | 25+ seats: contact sales


How agents use it

Prism exposes 40+ MCP tools. The core memory loop:

Tool

What it does

session_load_context

Recover the prior session's state on boot

session_save_ledger

Append an 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 the memory store

session_detect_drift

Detect when a session has drifted from its goal

verify_behavior

Pre-edit scenario challenge — catch bad changes before they happen

knowledge_ingest

Teach Prism a codebase or document

Full TypeScript signatures live in src/tools/; architecture in docs/ARCHITECTURE.md.

The LLM context window is treated as ephemeral scratch space; durable state lives in the persistent store (SQLite locally, the portal in the cloud). Every session begins with a mandatory session_load_context call, so the agent is oriented before it writes a response. When a project exceeds a threshold (default 50 entries), session_compact_ledger summarizes old entries into a rollup, soft-archives the originals, and links them in the graph. See docs/COMPACTION.md


CLI

prism load <project>      # load session context
prism save                # save ledger + handoff
prism search <query>      # search code across repos (exact / regex / symbol / semantic)
prism review <files...>   # AI code review — security, performance, style
prism scan <files...>     # security scan — secrets, licenses, Dockerfile
prism push                # push local SQLite to the cloud backend
prism register-models     # alias dcostenco/prism-coder:* -> prism-coder:*

prism review — AI code review with HIPAA checks

prism scan — security scanner for secrets, Dockerfiles, licenses


Companions

Prism works alongside these tools — use whichever fits your workflow.

Web IDE — Prism Coder

A browser-based IDE at synalux.ai/coder. Import any GitHub repo and get:

  • Monaco editor with multi-tab, split view, syntax highlighting, and VS Code keybindings

  • In-browser Node.js via WebContainer (your code runs in the browser sandbox, not on a server)

  • Integrated terminal — WebContainer shell in-browser; optional server PTY via WebSocket when connected to a dev server

  • AI Agent Mode — describe a task and the agent creates files, runs type-checks, and verifies

  • Source control — commit, branch, push/pull, stash, blame, tag management

  • Live Share — real-time collaborative editing with session links

  • Node.js debugger via Chrome DevTools Protocol

  • Tasks runner (VS Code tasks.json compatible), Problems panel (Monaco diagnostics)

  • 12-language i18n — full UI localization

Standard+ plans get cloud AI and higher rate limits. Free tier works with local Ollama. Code execution uses the in-browser WebContainer by default; Live Share and the optional PTY terminal connect to external servers when explicitly enabled.

VS Code Extension — Synalux

Memory-augmented AI inside VS Code with clinical practice management features. Install from the marketplace:

code --install-extension synalux-ai.synalux

VS Marketplace

AI chat, voice input, SOAP note generator, team collaboration, and video calls — all inside VS Code. Routes through local Ollama by default; cloud on paid tiers.

  • AI: Chat participant (@synalux), multi-agent pipeline, voice input, model switching, 10 tones

  • Clinical: SOAP note generator, role-based access, document signing, patient board

  • Collaboration: Team chat, DMs, video calls, customer board, visual builder, DevContainers

  • Privacy: Local Ollama by default. preferLocal=true tries local first. Enterprise BAA available.

Prism AAC

Communication app for non-speaking users, powered by the on-device prism-coder fleet for phrase prediction. macOS / iOS / web.

See github.com/dcostenco/prism-aac


Self-hosting (Enterprise)

Run the full model stack on your own hardware — no cloud, full data sovereignty.

Requirements: Mac M2 Pro+ (48 GB recommended) or Linux + NVIDIA GPU, plus Ollama.

ollama pull dcostenco/prism-coder:14b      # default router
export LOCAL_LLM_URL=http://localhost:11434

Routing is automatic: 14b → 4b → cloud fallback on desktop/server, 2b → cloud fallback on mobile/iPhone. For iOS or another machine on the same network, run OLLAMA_HOST=0.0.0.0 ollama serve and point LOCAL_LLM_URL at the host's IP.


Configuration reference

Variable

Purpose

Default

PRISM_STORAGE

local / synalux / supabase / auto

auto

PRISM_SYNALUX_API_KEY

Paid-tier portal key (synalux_sk_...)

-- (local if unset)

LOCAL_LLM_URL

Ollama endpoint

http://localhost:11434

PRISM_FORCE_LOCAL

Force local SQLite regardless of credentials

false

With no variables set, Prism runs fully local. Set PRISM_SYNALUX_API_KEY (and leave PRISM_STORAGE=auto) to use the cloud backend.


Testing

npm test                 # full suite (vitest)
npm test -- --coverage   # coverage report

Coverage spans HRR retrieval, knowledge ingestion, the inference cascade and grounding verifier, compaction, the model picker, and storage round-trips.


Migration: local to cloud

To move free-tier history into the paid portal:

node scripts/migrate-local-to-portal.mjs --dry-run        # preview, no network
PRISM_SYNALUX_API_KEY=synalux_sk_... \
  node scripts/migrate-local-to-portal.mjs                # push ledger + handoffs

It reads ~/.prism-mcp/data.db and POSTs entries to the portal. Ledger entries are append-only and de-duped server-side; handoffs use last-write-wins per project. Re-running on the same DB is safe. This is a one-shot migration, not a sync daemon — after it, set PRISM_STORAGE=synalux (or leave it on auto).


License

Product

License

prism-mcp-server (this repo)

AGPL-3.0

VS Code extension (synalux-ai.synalux)

BSL-1.1

Web IDE (synalux.ai/coder)

Synalux Terms of Service

Prism AAC

AGPL-3.0

The AGPL-3.0 license covers the MCP server and its source code. The VS Code extension and Web IDE are separate products with their own licenses. Commercial hosted/managed deployment of the MCP server is available via the Synalux subscription.

Install Server
A
license - permissive license
A
quality
B
maintenance

Maintenance

Maintainers
6dResponse time
1dRelease cycle
43Releases (12mo)
Commit activity
Issues opened vs closed

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dcostenco/prism-coder'

If you have feedback or need assistance with the MCP directory API, please join our Discord server