https://github.com/supernovae/open-cot
Open-CoT is a model-agnostic cognitive control plane that standardizes the trusted contract between model output, harness/runtime enforcement, policy, delegation, tool execution, provenance, and audit.
https://github.com/supernovae/open-cot
agent agentic agentic-ai benchmarks control-plane datasets harness harness-execution-layer harness-framework llm schema
Last synced: 19 days ago
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Open-CoT is a model-agnostic cognitive control plane that standardizes the trusted contract between model output, harness/runtime enforcement, policy, delegation, tool execution, provenance, and audit.
- Host: GitHub
- URL: https://github.com/supernovae/open-cot
- Owner: supernovae
- License: mit
- Created: 2026-04-14T13:20:01.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2026-04-27T16:23:22.000Z (about 2 months ago)
- Last Synced: 2026-04-27T16:28:57.508Z (about 2 months ago)
- Topics: agent, agentic, agentic-ai, benchmarks, control-plane, datasets, harness, harness-execution-layer, harness-framework, llm, schema
- Language: TypeScript
- Homepage:
- Size: 748 KB
- Stars: 5
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: docs/contributing.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
- Governance: docs/governance-rfc-lifecycle.md
- Maintainers: docs/maintainers.md
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README
# Open CoT
Open CoT is **Cognitive Operations Theory**: a compact, schema-first standard for the boundary between cognition and execution.
The model contributes a typed cognitive artifact. Runtime code validates, authorizes, executes endpoint capabilities, records observations, and reconciles final state. Reasoning remains important as evidence, but it is never authority.
## Core RFCs
The active RFC set is intentionally small and sequential:
1. Cognitive Artifact & Reasoning Evidence
2. Capability Snapshot & Endpoint Descriptor
3. Execution Intent & Endpoint Invocation
4. Policy Gate & Permission Evaluation
5. Observation, Receipt & Audit Evidence
6. Reconciliation Result & Error Taxonomy
7. Runtime Boundary & Cognitive Pipeline
8. Budget, Cost & Temporal Bounds
9. Requester Identity & Governance Context
10. Human Approval, Yield & Resume
11. Conformance, Registry & Compatibility Rules
12. Compact Context Serialization
Schemas are embedded in the RFC markdown and generated into `schemas/` with `python3 tools/sync_schemas_from_rfcs.py`.
## Validate
```bash
python3 tools/sync_schemas_from_rfcs.py
python3 tools/validate.py
cd harness && npm test
```
Open Lagrange is the opinionated implementation proving this interface under durable execution, policy gates, endpoint execution, and reconciliation.