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Collective Capability Runtime (CCR) is a JSON-first, residual-preserving runtime for coordinating work across AI agents. It records tasks, capability packets, evidence, disagreements, verifier reports, and unresolved work so that collaboration remains inspectable rather than becoming a count of repeated answers.
CCR does not run an LLM, claim real artificial superintelligence, or turn a provider report into authority. It provides local and distributed coordination primitives that an agent, tool, or human can use to produce and review structured work.
More agents, more text, more packets, or more agreement do not automatically create verified progress. CCR treats a result as useful only within a declared scope, with preserved provenance, verification, resource constraints, and unresolved obligations.
raw input -> candidate packet -> checked evidence -> integration -> settlement only if all declared gates pass
| |
+---- residuals remain visible -----+
settled=false is therefore an expected diagnostic state, not a crash. It means that the declared settlement requirements have not all been discharged.
| CCR provides | CCR does not provide |
|---|---|
| Local-first JSON artifacts, schemas, task leasing, residual ledgers, workcells, and verifier-report routing | An LLM, autonomous web crawling, or arbitrary shell execution |
| Protocol-relative measurement of verified capability formation under matched resources | A proof of real ASI, consciousness, model self-rewrite, or model-weight updates |
| Optional provider integration, including PIC-compatible evidence routes | Automatic authority, automatic execution of safe_commands, or settlement from provider output |
| A parameter-bound operation gate for explicitly requested external effects | Proof that a physical outcome occurred merely because a dispatch was attempted |
- Getting Started - Create and inspect a local mission safely.
- Core Concepts and Status - Learn the distinction between a packet, task, residual, acceptance, and settlement.
- Missions and Local State - Understand the local runtime lifecycle and write boundaries.
- Workcells, Tasks, and Residuals - Coordinate independent work without treating consensus as proof.
- Measurement and Phase Formation - Evaluate a collective system against a resource-matched baseline.
- Providers and PIC Interoperability - Use external verifier reports without granting them settlement authority.
Use a dedicated runtime directory so generated artifacts do not mix with source files:
python -m pip install collective-capability-runtime
ccr --root ccr-runtime asi quickstart --profile development --json
ccr --root ccr-runtime mission next --mission mission:quickstart --compact --json
ccr --root ccr-runtime workbench report --mission mission:quickstart --format markdown --out CCR_WORKBENCH.md
ccr --root ccr-runtime residual market --mission mission:quickstart --jsonThese commands create or inspect local artifacts. They do not call a provider or network endpoint. Read the generated workbench, then choose a blocking residual or a verifier task rather than assuming that the mission is settled.
| Field or state | Meaning |
|---|---|
ok |
The command completed its finite validation or transition. |
accepted |
A local checker accepted supplied evidence; this is not settlement. |
settled |
All declared settlement requirements passed; this is usually false. |
residuals / blockers
|
Unresolved work that must remain visible. |
external_execution |
The command performed an external action. |
physical_outcome_verified |
A trusted signed observation passed its scope and time checks. |
- Building a local workflow: Missions and Local State
- Coordinating several agents: Workcells, Tasks, and Residuals
- Reviewing statistical and scientific claims: Measurement and Phase Formation
- Reviewing side-effect boundaries: Operations and Authority
- Reviewing limitations and security posture: Scope, Security, and Non-Claims
See References and Traceability for the implementation documents behind this wiki.