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Collective Intelligence Overlay

Collective Intelligence Overlay is an evidence-preserving capability lifecycle layer. It connects original records of a tool or procedure to its verification, receiver decisions, uses, costs and unresolved checks. It does not certify functional novelty, causal contribution or intelligence growth.

For example, before using another agent's CSV tool, inspect the exact tool version, what a separate checker tested, who accepted or rejected it, and which costs or effects remain unknown. Each participant retains its own policy, keys and budget: Evidence is shared; admission is local.

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Install and services

These instructions target 0.5.1, the latest stabilization candidate. It corrects observation identity, missing purpose/validity, period coordinates, handoff basis matching, bounded JSON input and standard A2A client cleanup. It also releases execution allowance once for a proved inner-admission refusal before actuator entry, fencing the still-owned worker in the same transaction. The finite review and compatibility boundaries are in the audit ledger. At this source snapshot, native gates and publication are pending; the index commands below become available when 0.5.1 is published. Check release status for actual hashes and verification. Published 0.5.0 and earlier versions remain in the archive.

Core record models and offline views need no running service or model. Owner database inspection uses PostgreSQL; explicit qualification additionally uses OPA. Optional [agents] integrates Microsoft Agent Framework (MAF), A2A and MCP; [model] and [ollama] are separate optional model integrations. Finding credentials does not enable inference.

First run from the installed package

Run from a fresh directory outside the repository. On Linux/macOS:

uv venv .venv --python 3.12.14
source .venv/bin/activate
uv pip install --no-cache --no-config --default-index https://pypi.org/simple collective-intelligence-overlay==0.5.1
collective-intelligence-overlay lifecycle inspect --fixture

On Windows PowerShell:

uv venv .venv --python 3.12.14
. .venv/Scripts/Activate.ps1
uv pip install --no-cache --no-config --default-index https://pypi.org/simple collective-intelligence-overlay==0.5.1
collective-intelligence-overlay lifecycle inspect --fixture

The bundled input is explicitly synthetic. JSON retains PASS, different receiver decisions, completed reuse, unavailable cost and withdrawal as separate observations. It reports current_admission: unassessed and execution_authority: not_granted. No database, network, model, tool or policy is invoked. Residual means a recorded unresolved check, not an automatically assigned task or legal responsibility.

Connect an existing tool

Follow the model-free service tutorial: install [agents], register trusted local tools through the existing Registry/Executor, use independent checks and receiver-local OPA decisions, then inspect actual reuse and withdrawal. The tutorial uses a dedicated PostgreSQL service and OPA; it launches no model. For a three-process peer deployment and your own application, continue with registration and network setup and integrations.

Five observations

Type What it exposes
CapabilityLifecycleView Exact candidate, evidence, historical decisions, use, costs and withdrawal
ContributionObservation Copy, import, reuse, formation inputs and new candidate; no causal credit
Residual Missing, unknown, stale or incompatible material with original references
GrowthObservation Independent stock endpoints, period service observations and typed costs
HandoffObservation Typed proposed/received/assessed material; no transport or execution grant

The SDK and CLI use finite material or bounded owner pages. inspect_lifecycle, observe_contributions, observe_growth and build_handoff are read-only. Explicit assess_stock delegates to existing qualification and saves Decisions. Core lifecycle imports no agent or transport SDK. Existing MAF/A2A/MCP adapters retain execution responsibility; there is no new scheduler, event store or central manager.

History, authority and data

Historical PASS, ACCEPT, a valid signature and a completed receipt are distinct from current admission, execution permission and business quality. Execution still passes the existing Executor gate. UNKNOWN, absent, FAIL, unperformed and expired material remain distinct. Entry counts use declared record identities, not semantic ability counts.

The host, database operator and installed checker remain trusted. Read access is owner restricted. References never fetch URLs or paths automatically. Explicit original export preserves signed payload bytes; view JSON has its own digest. Keep private originals, keys and logs protected. Pagination, expiry and deletion do not resolve uncertain effects. See concepts, security and deployment/recovery.

Compatibility and verification

Python >=3.12; declared Linux, Windows, macOS Intel and Apple Silicon profiles remain in the runtime matrix. All twelve native profiles, mixed Python and four cross readers passed for the exact published 0.5.0 pair; actual PyPI bytes and clean-install checks are in the implementation register. No DB migration or wire record change is introduced by the lifecycle layer. Migration explains legacy missing bindings and clocks.

Source checks: uv sync --all-extras --frozen, uv run ruff check ., uv run mypy, uv run pytest, uv run python scripts/check_docs.py, uv build. Service skips are not evidence of a passing deployment. The repository is Apache-2.0; dependency conditions are in compatibility.

Historical negative and limited results remain in the research archive. CIO-specific accumulation benefit is unproven. No new model generation, research comparison, benchmark or long soak is part of this stabilization release.

Metadata

Release files for collective-intelligence-overlay 0.5.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for collective-intelligence-overlay 0.5.1
File Size Uploaded
collective_intelligence_overlay-0.5.1.tar.gz 249.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for collective-intelligence-overlay 0.5.1
File Interpreter ABI Platform
collective_intelligence_overlay-0.5.1-py3-none-any.whl Python 3 none any Details

Total release size: 560.0 kB

Release files / collective_intelligence_overlay-0.5.1.tar.gz

Download URL collective_intelligence_overlay-0.5.1.tar.gz
Size 249.7 kB
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Signed by GitHub Actions, verified by PyPI on Oct 4, 2026.

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Release files / collective_intelligence_overlay-0.5.1-py3-none-any.whl

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Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 4, 2026.

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Release history Release notifications | RSS feed

This release

0.5.1 This release

2 release files

0.5.0

2 release files

0.4.4

2 release files

0.4.3

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.0

2 release files

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