Local SQLite knowledge graph for AI coding agents with persistent memory, audit signing, and regression risk prediction.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent ā or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag ā we're steadily working through the catalog.
š” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by World Model MCP.
query_factFetch a stored fact with provenance + confidence + source
record_eventAppend an event to the audit chain (`event_type` from a fixed enum)
validate_changeCheck a code-change proposal against learned constraints, returns violations + suggestions
get_constraintsList all constraints matching an entity or file pattern
record_correctionStore a user correction so it re-surfaces on next relevant query
get_related_bugsFetch bugs touching the given files + a per-file risk score
Persistent memory + optional signed audit for AI coding agents.
world-model-mcp is persistent memory plus a post-quantum-signed, offline-verifiable audit trail for AI coding agents (FIPS 205 hybrid Ed25519 + SLH-DSA), MIT-licensed and fully local.
world-model-mcp ships a local SQLite knowledge graph your agent queries every turn: hallucinations become verifiable, corrections stick across sessions, and regressions get caught before they land. Flip on the audit chain and every event is signed with FIPS 205 hybrid Ed25519 + SLH-DSA, verifiable offline forever. MIT-licensed, runs entirely local, works with 10+ AI coding agents including Claude Code, Cursor, Codex, Continue, Cline, Windsurf, GitHub Copilot Chat, pi, OpenClaw, and Hermes Agent.
Latest: v0.16.2.
world-model demoends with a live notary beat: three sample decisions signed into a real hybrid-signed epoch (Ed25519 + SLH-DSA-SHA2-128f, FIPS 205), verified VALID, mutated one byte to prove tamper detection fires live (INVALID), then restored. Zero signup, zero token, zero network; drops aworld-model-demo-receipt.jsonin the current directory and emits a copy-pasteetch.systems/verify#<manifest>URL. v0.16.1 adds a graceful skip when the local liboqs build was compiled without SLH-DSA (rather than crashing the demo). Full version history in CHANGELOG.md.
You will see three sample decisions signed into a tamper-evident epoch, then the demo mutates one byte and re-verifies to prove the tamper is detected instantly (INVALID), then restores and re-verifies (VALID again). Offline, no account, no network. A world-model-demo-receipt.json lands in your current directory and a shareable etch.systems/verify#⦠URL is printed for anyone to check the same receipt in a browser.
mcp-name: io.github.SaravananJaichandar/world-model-mcp
If you want the same signed audit chain without running the OSS server yourself, etch.systems ships a managed variant that uses this package as its offline reference verifier.
pip install world-model-mcp && etch-verify manifest.json verifies the hosted chain against pinned public keys without depending on the hosted service being onlineReturns a bearer token and an MCP endpoint you can point any MCP-compatible client at. Full docs at etch.systems.
What is world-model-mcp? world-model-mcp is persistent memory plus a post-quantum-signed, offline-verifiable audit trail for AI coding agents, exposed as an MCP server the agent queries every turn. It runs entirely local, ships as MIT-licensed Python + optional adapters for 10+ AI coding agents.
How is it different from Mem0, Letta, and other agent-memory tools?
world-model-mcp is the only agent-memory tool that ships a hybrid post-quantum signed audit chain (FIPS 205 Ed25519 + SLH-DSA-SHA2-128f) alongside memory, with an offline reference verifier (etch-verify) and dual external anchoring (Sigstore Rekor + Bitcoin OpenTimestamps) available via the hosted etch.systems companion. Peer tools (Mem0, Letta, agentmemory) ship memory without a signed audit chain. See the "Compared to" table below for a per-mechanism breakdown.
Is the audit trail post-quantum secure? Yes. Every closed epoch carries a hybrid signature: Ed25519 (classical) plus SLH-DSA-SHA2-128f (FIPS 205 stateless hash-based post-quantum signature). A future quantum adversary that breaks Ed25519 alone still faces the SLH-DSA signature over the same payload; both signatures must forge for the chain to be forged.
How do I verify a record offline, with no account?
Run pip install -U world-model-mcp && world-model demo. The demo signs three sample decisions into a real hybrid-signed epoch, exports the same manifest format the etch-verify CLI reads, verifies VALID, mutates one byte to prove tamper detection is live (INVALID), then restores and re-verifies. A world-model-demo-receipt.json lands in your current directory and a etch.systems/verify#⦠URL is printed for anyone to check the receipt in a browser. Zero signup, zero network.
Which AI coding agents does it work with?
Claude Code, Cursor, Codex, Continue, Cline, Windsurf, GitHub Copilot Chat, pi, OpenClaw, and Hermes Agent. Each has a dedicated starter repo under github.com/SaravananJaichandar/world-model-mcp-<agent>-starter. The MCP wire format is standard, so any MCP-capable client can consume the same tools.
Should I use this OSS package or the hosted etch.systems service?
Use this OSS package (MIT-licensed, fully local) if you want to run the audit chain on your own infrastructure or add signed memory to an internal tool. Use etch.systems if you want the same audit chain shipped as a managed service with compliance framework mapping (SR 11-7, EU AI Act Article 12, ISO 42001, NIST AI RMF, SOC 2 CC7) and portable per-agent identity across MCP client tools. The offline reference verifier is the same in both cases: pip install world-model-mcp && etch-verify manifest.json verifies either an OSS-generated or a hosted-generated manifest against pinned public keys.
Head-to-head positioning against eight named peers on the audit / signing / anchoring dimensions the agent-memory space is converging on. Every world-model-mcp cell carries a provenance flag: own = measured / observed in the shipped product; cited = pulled from the competitor's own public landing, repo, or press.
Source of truth for this table lives in the hosted service repo: world-model-mcp-hosted/src/etch/competitor_matrix.py. Update in both places if you change either.
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