agience-core

Agience Core is an open, extensible runtime for agentic AI centered on shared, typed, versioned “artifacts” with provenance and human-in-the-loop workflows. It is positioned as both an MCP server (exposing tools) and an MCP client (consuming vendor MCP servers), and emphasizes capability-based access via scoped API keys and delegations tracked by authority/provenance.

Evaluated Mar 30, 2026 (0d ago)
Homepage ↗ Repo ↗ Ai Ml ai-agents mcp knowledge-management semantic-search provenance workflow-automation fastapi opensearch graph-database runtime
⚙ Agent Friendliness
35
/ 100
Can an agent use this?
🔒 Security
61
/ 100
Is it safe for agents?
⚡ Reliability
20
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
45
Documentation
20
Error Messages
0
Auth Simplicity
70
Rate Limits
10

🔒 Security

TLS Enforcement
70
Auth Strength
75
Scope Granularity
80
Dep. Hygiene
30
Secret Handling
40

Security claims are architectural (scoped API keys, identity from token, delegated operations tracked by authority). The provided content does not specify TLS enforcement, secret storage practices, or dependency/security maintenance details, so security scores beyond auth/scoping are estimates. License is AGPL-3.0-only; ensure operational practices support secure deployment and secret management.

⚡ Reliability

Uptime/SLA
0
Version Stability
40
Breaking Changes
20
Error Recovery
20
AF Security Reliability

Best When

You need an auditable shared-state runtime where agents and humans operate on the same typed artifacts, with MCP-based extensibility and governance/provenance modeled as first-class architecture.

Avoid When

You need a lightweight, minimal integration without standing up an MCP server/runtime, or you cannot accept AGPL obligations for network deployment/modification.

Use Cases

  • Shared knowledge/state layer for AI agents and humans (curation + automated reasoning)
  • Auditable decision/knowledge workflows with explicit provenance and authority
  • Building agent tool ecosystems via MCP (standalone services / content-type handlers)
  • Human-in-the-loop commit/approval flows for knowledge transformations
  • Semantic retrieval and knowledge graph/search use with OpenSearch (per repo topics)

Not For

  • Drop-in chat-only chatbot UI solutions without a shared state/provenance model
  • A fully managed hosted SaaS with guaranteed uptime/SLA and proprietary licensing expectations
  • Use cases requiring no governance/audit trail or simple stateless APIs
  • Environments that cannot comply with AGPL-3.0 requirements for network-accessible deployments

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: Scoped API keys (capability-based access; as described in README) Identity derived from auth token (as described in README) Delegated operations with record of who authorized them (as described in README)
OAuth: No Scopes: Yes

README indicates scoped API keys and delegation records, but does not provide concrete auth flow details, header formats, or scope naming conventions in the provided content.

Pricing

Free tier: No
Requires CC: No

No hosted pricing information in provided content; licensing indicates AGPL-3.0-only with commercial licensing for proprietary/closed-source use.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Provided README does not include concrete MCP server tool schemas, transport details, or error-handling conventions; agents may need to infer behaviors until full docs are available.
  • Idempotency/retry guidance is not documented in the provided content; agent runtimes should implement cautious retry logic for any state-changing operations.
  • Because it is positioned as a runtime with artifacts/provenance and human approval gates, agent flows may require explicit commit/approval steps to avoid unexpected “denied until commit” behavior.

Alternatives

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Scores are editorial opinions as of 2026-03-30.

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