Hyperon-MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Hyperon-MCPinfer two-hop relations between file:auth.py and file:db.py"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Hyperon-MCP (atomspace-agent)
An MCP server that gives coding agents (Claude Code, Codex, OpenClaw, OmegaClaw) persistent, scoped symbolic memory with real PLN/NAL inference on the OpenCog Hyperon MeTTa stack:
one global AtomSpace — cross-project preferences and learned rules,
one AtomSpace per repo — architecture facts, dependency edges, invariants, decisions — keyed by normalized git remote (clones/worktrees share a space),
inference by the vendored, frozen
lib_nal.metta/lib_pln.mettafrom OmegaClaw-Core (@ dbb22b0), evaluated on thehyperonruntime (PeTTa subprocess backend optional),truth values everywhere: atoms carry
(stv f c); multi-hop conclusions decay in confidence, contradictions merge by NAL revision, provenance follows OmegaClaw'smemory_schemacontract (tool_result 0.9 / user 0.8 / knowledge_prior 0.7 / llm 0.55).
Install & run
pip install -e '.[full]' # hyperon + mcp
atomspace-agent # stdio MCP server
atomspace-agent selftest # end-to-end smoke: assert -> query -> 2-hop infer -> exportClaude Code: drop skills/claude-code/.mcp.json into your project (or merge it)
and install the skills/claude-code/atomspace skill. Codex: see
skills/codex/AGENTS.snippet.md. OpenClaw: skills/openclaw/atomspace.
OmegaClaw: point profile/plugins.yaml roots at plugins/omegaclaw-bridge
(no MCP needed — it bridges through plugin_registry).
Related MCP server: knitbrain
Tools (11)
atom_assert · atom_assert_batch · atom_query (pattern match, $-vars) ·
infer (k-hop PLN/NAL with proof traces, subprocess + hard timeout) ·
revise (NAL revision) · atom_retract (supersede, never delete) ·
scope_info (counts, contradictions) · hybrid_recall · bootstrap_project
(import-scan → (Implication (affected file:dep) (affected file:dependent))
edges + doc topics; writes committable .atomspace/seed.metta) ·
snapshot_export · snapshot_import.
Atom schema (LLM-learnable: 5 shapes, 6 prefixes)
Inheritance (taxonomy) · Implication (impact edges/invariants) ·
Similarity · Evaluation (conventions/decisions/preferences) · Not —
over namespaced terms file: module: dir: dep: decision: user:.
See skills/SKILL_BODY.md for the full discipline (assert budget, stv
reading, counter-examples).
Safety
Atoms are parsed to an AST, never string-eval'd (validate.py): closed
head whitelist, closed symbol charset, banned grounded-op tokens, depth/size
caps. Validated atoms hydrate into MeTTa as premise data inside
(|-nal ...)/(|~pln ...) calls — never as (= ...) equations. Inference
runs in a worker subprocess with a hard wall-clock timeout.
Benchmarks
Benchmark-gated development lives in
OmegaClaw-Bench under benchmarks/atomspace/
(gates pre-registered in benchmark-docs/atomspace.md):
T0 engine/store/MCP conformance → T1 retrieval quality → T2 multi-hop
decision-change (the primary program gate) → T3 end-to-end agent outcomes.
python -m pytest tests/ # unit + cross-backend conformanceLayout
src/atomspace_agent/ server, store, scopes, validate, runtime, inference,
revision, bridge, bootstrap, export, truth, conformance
src/atomspace_agent/metta/ vendored lib_nal / lib_pln + lib_compat shims
skills/ canonical SKILL_BODY.md + per-host packs
plugins/omegaclaw-bridge/ OmegaClaw plugin_registry bridge (4 tools)
tests/ unit tests + T0.1 golden conformanceThis server cannot be deployed
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