Prism Coder

Prism Coder

Give your AI agent memory that lasts — and see the cloud tokens it never had to spend. Persistent sessions, knowledge graphs, offline tool-routing, and an auditable savings meter. Fully local and free.

Current release: v20.22.5 — local oMLX images and memory accounting

Choose an independent image model from discovered local inventory. Compatible

oMLX servers support controlled PNG image requests with local screening and

generation. Image accuracy depends on the model; Ollama image execution remains

unavailable for the saved image choice. See the oMLX guide.

*Local AI dashboard development preview. Screenshots below use an isolated demo with illustrative inventory and responses; they do not show a live account or prove model accuracy. The npm release may show an earlier interface.*

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–27B) for fast, offline tool-routing — no cloud required. And it keeps score: every call served locally is metered, so prism savings shows the token volume that never reached your cloud model — measured honestly, in tokens.

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.

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What Prism gives you

• Session memory that survives restarts — resume projects with handoff notes, recent work, open TODOs, and configurable quick, standard, or deep context.
• Local-first inference — local Ollama models use automatic 2B/4B/9B/27B selection based on installed models, available RAM, context fit, and subscription entitlements. Eligible text-only coding can prefer configured oMLX; explicit task choices override the saved backend preference.
• A savings meter you can audit — prism savings (or the local_savings tool from any host) reports the token volume local serving kept off your cloud model: headline, local share, per-model breakdown. It reports tokens, never an invented dollar figure, and prints its assumptions and known undercounts inline — a number you can check, not marketing.
• Route-output enforcement — route mode returns only well-formed calls to tools the host actually advertised. Standard and higher plans can add authenticated deterministic correction; route_guard: "local" disables that correction only. cloud_fallback: false forbids cloud inference fallback and verify: false (with no evidence) disables the grounding verifier. With all three off, no request carries your prompt, draft or evidence; the per-call entitlement check and telemetry still contact the portal and carry neither.
• One setup for every agent — prism connect configures Claude Code, Claude Desktop, Cursor, Gemini CLI, and Codex while preserving unrelated settings.
• Subscription-aware skills — entitled skills are synchronized before the host launches, with safe upgrades, downgrades, conflict preservation, and offline last-good recovery.
• Hook-free startup — MCP metadata and native instructions request Prism's startup context without requiring lifecycle hooks or a Prism-owned launcher. Where a host offers hooks (Claude Code, Codex), prism connect adds two small ones on top: mid-session prompt routing, and a post-compaction re-injection of the protected-floor digest.
• Prompt-triggered Factory — enabled by default for suitable bounded implementation requests with explicit files, an allowed write list, and a verification command. The host starts and monitors the recommended pipeline; BCBA requests stay with the host. A dashboard toggle or PRISM_DARK_FACTORY_ENABLED=false disables Factory after an MCP restart. Try the three-test filename fix.
• Safe escalation and observability — inference outcomes are explicit, reserved text remains fail-closed (clinical images are processed locally, never sent to the cloud), and local/cloud usage is recorded for review.

Local AI in the dashboard

Run prism dashboard, open Account & Settings → Local AI, then work through Connection → Models → Test. These controls configure local inference; session memory continues to work without installing a model.

Coding and review. Auto prefers configured oMLX for eligible coding. You can choose Ollama instead; explicit task choices take precedence. oMLX coding and review need the integration's separate text safety classifier. Local drafts and reviews still need host inspection and tests.

Images have their own choice. Select an oMLX vision model under Image model, then Save image preference. It may be the same model used for coding, but the setting is independent. Refresh image models reads metadata without loading a model. Vision metadata and RAM estimates are advisory; each request repeats compatibility and resource checks. The saved Ollama image option currently refuses execution; leave the image backend Not selected to retain existing image routing.

Read image-test results in two parts. The built-in diagnostic sends a red square. Reference facts describe that known PNG; AI observations contain the model's answer. A wrong answer cannot change the reference. A passing test proves execution, not visual accuracy. User images do not receive catalog facts from this diagnostic. Starting another test or changing backend or purpose clears the previous image result.

Server setup is optional and separate from npm. On supported Apple Silicon Macs, expand Install or update a Prism-managed server to install the server without downloading the optional coding starter pack. Add models through Open oMLX model manager. Installing a server update does not restart it or switch your connection. Restart managed server interrupts local inference and is available only when Prism can establish managed ownership and idle activity. External servers use their own upgrade and restart procedure.

Updating the Prism npm package or restarting your AI client does not upgrade an external oMLX server. If image status says Server update required, follow the existing-server upgrade guide. Tested Prism-compatible source identifies the compatible revision; Latest upstream releases is for release notes and may lack Prism's routes. See the oMLX guide for requirements and troubleshooting.

Get started

Memory search automatically applies ACT-R ranking: relevance plus recency, frequency and memory associations. No upvote or prompt instruction is required. To opt out, use Account & Settings → Preferences → Automatic Memory Ranking (ACT-R), then restart your AI client. PRISM_ACTR_ENABLED=false also disables it. This ranking is separate from the neural graph's stored importance filter.

npm install -g prism-mcp-server

prism connect prism dashboard

Use prism connect --dry-run to preview changes, prism connect --all to configure every detected host, or prism connect --refresh to reconcile Prism-managed entries after an upgrade. Restart the host after connecting.

prism dashboard opens the current local Mind Palace without a Synalux login. Prism works locally without an account, API key, or cloud subscription. Add a Synalux subscription when you want cloud memory, paid-tier skills, or team features.

To check your plan, open ⚙ Account & Settings → Account in the dashboard. Free users see Start 14-day trial; paid users see Manage subscription. During a trial, the same panel shows the paid tier and exact end date. No card is required to start. Add payment details before the end date to continue; if you do not, the subscription cancels and local Prism Free remains available. You can also compare plans directly at synalux.ai/pricing#prism-plans.

After a few sessions, ask what it's been worth:

prism savings --period month

💾 Local serving — LAST 30 DAYS

~510K tokens kept off your cloud model 53 call(s) served locally of 58 routed (91%)

Your numbers will differ — that's the point: it reports what *your* machine actually served, not a projection. Full report anatomy and the honesty rules behind it are in the local_savings section.

Install as a plugin

Prism also ships as a plugin, which registers the MCP server and the startup skill for you.

Both hosts install straight from this repository. There is nothing to host and no server to run: the catalogue is the .claude-plugin/marketplace.json file committed here, and your client clones it from GitHub.

Claude Code:

claude plugin marketplace add dcostenco/prism-coder

claude plugin install prism-coder@prism

Codex:

codex plugin marketplace add dcostenco/prism-coder

codex plugin add prism-coder@prism

The plugin registers prism-mcp via npx -y prism-mcp-server. If you already configured Prism by hand — prism connect writes an mcp_servers.prism-mcp entry — you have that server twice under one key. Install the plugin or run prism connect, not both.

What prism connect changes about host subagents

connect steers bounded work to prism_infer on your machine rather than to host-spawned agents. What it writes differs per host, and it does not disable subagents everywhere — Claude Code keeps them and is pointed at an economy model instead. Prism's local workers stay available over MCP in every case.

| Gemin