Item detail
github.com

agentscope-ai/agentscope

RepoRadar surfaced agentscope-ai/agentscope — a developer tool — into the AI Agent Framework section, where it sits at Gold tier with a 'try now' verdict. Its strongest signal is workflow potential, scored 10.0 out of 10.

Score9.2
Popularity92.0
Riskconditional
TierGold
Score breakdown
Usefulness9.0
Novelty8.0
Momentum8.0
Maturity9.0
Open-source/build8.4
Evidence7.2
Workflow potential10.0
Setup ease4.2

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Use AgentScope when you need structured handoffs, reusable agent primitives, and observable orchestration instead of ad-hoc scripts.

Who should use it

teams building production LLM agent platforms teams standardizing MCP/tool-connected workflows developers prototyping coordinated agent pipelines

Who should skip it

Move on from agentscope-ai/agentscope if the licensing terms, language support, or platform requirements do not fit your project.

About this signal

agentscope-ai/agentscope is tracked by RepoRadar as a developer tool in the AI Agent Framework section. It was first seen on 2026-06-18 and last updated on 2026-06-18. The current verdict is 'try now' with a Gold tier and advanced setup difficulty. The standout signals for agentscope-ai/agentscope are workflow potential (10.0) and practical usefulness (9.0), while setup ease (4.2) trails — that balance shapes where it fits best. This page summarizes the public evidence on the linked source page and states where additional review is still needed. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.

How this item is evaluated

RepoRadar assigned agentscope-ai/agentscope a composite score of 9.2 out of 10, placing it in the Gold tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 92.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.

Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.

Risk explanation

Agent runtimes can call external APIs and services; constrain credentials per tool and enforce idempotency for retries; Advanced orchestration patterns have a steeper onboarding curve than single-agent wrappers.

Evidence links
Closest alternatives / related signals
agents agent-framework mcp orchestration python
Verification record

What RepoRadar actually verified

Tested in a bounded workflow

Bounded representative workflow retained by RepoRadar verification harness. Last checked 2026-07-14T00:53:02.984902Z.

passed · cohort-20260713-agentscope-local-toolkit-workflow

Tester
RepoRadar automated local verification harness
Started
2026-07-14T00:52:56.902951Z
Completed
2026-07-14T00:53:02.984902Z
Environment
Windows 10 AMD64; Python 3.11.9; credential-stripped child environment; disposable home/cache
Install/setup time
1 minute(s)
Evidence scope
Bounded representative workflow
Cleanup
Per-check temporary home and work directory removed. Shared cohort package cache removed.
Actions exercised
  • Created a disposable home, work directory, and isolated package cache with credential-like environment variables excluded.
  • Created 1 synthetic fixture file(s) inside the disposable work directory; retained hashes prove the exact inputs.
  • Wrapped a deterministic typed Python function in AgentScope's FunctionTool and registered it in a Toolkit.
  • Inspected the generated function schema, executed the tool locally, and asserted the normalized checkout incident routed to platform-oncall.
  • Executed bounded check: Register a typed incident-routing tool with AgentScope, inspect the generated schema, and execute it against a synthetic incident.
  • Captured the complete sanitized stdout, stderr, exit status, artifact checks, and 6.08-second wall time.
Observed results
  • Command exited 0 after 6.08 seconds.
  • AgentScope generated the required service/severity schema and returned the exact normalized routing payload through its local tool adapter.
  • Expected marker 'CHECK_OK tool=route_incident queue=platform-oncall severity=4 schemas=1' was observed in retained output.
  • Validated result.json: 4 required marker(s) present and 0 excluded marker(s) absent; size and SHA-256 are retained.
Observed strengths
  • The framework's tool abstraction converted typed Python input into a machine-readable schema and a normalized ToolChunk result without a model or account.
Friction
  • AgentScope 2.0.4 resolved 89 Python packages for this small model-free path; broader agent execution would add model, formatter, permission, and context configuration.
  • Setup or runtime emitted 17 stderr line(s); the complete warnings/errors are preserved in the retained log.
Limitations
  • This model-free toolkit path does not run an AgentScope agent loop, model adapter, memory, MCP client, permission prompt, multi-agent workflow, or hosted service.
  • This credential-free disposable workflow does not establish operator use, production scale, model quality, reliability under sustained use, or team adoption.

Pricing assessment: The pinned AgentScope 2.0.4 package and local function tool used no paid model, hosted AgentScope service, or authenticated provider.

Privacy assessment: Only a synthetic service name and severity were processed in the disposable Python process; no model, MCP server, telemetry target, or external data service received them.

Open retained test log →

Verification sources

Longitudinal intelligence

How this decision record is moving

Raw history JSON →

37 dated snapshots retained from 2026-06-18 through 2026-08-03; see the snapshot index for explicit coverage gaps. Stars, version, release, pricing, integration, risk, maintenance, verdict, score, and momentum fields remain explicit even when a source has not reported them. Repository momentum is a normalized 0–10 RepoRadar signal; GitHub stars appear only where the popularity monitor retained exact timestamped observations.

RepoRadar score9.2 current · +0.0 net
Repository momentum9.6 current · +1.6 net
GitHub stars (observed)28,519 current · +692 net
GitHub stars28,519 exact observation
Versionv2.0.5
Last release2026-07-23T13:28:56Z
Maintenanceactive
Current riskconditional
Current verdicttry now
Pricing baselineNo structured commercial pricing baseline
Pricing checkedNot applicable or not recorded
Pricing freshnessNo dated commercial pricing review
Integrations baselineModel Context Protocol

Recent dated points

DateScoreMomentumStarsRiskVerdictMaintenance
2026-08-039.29.628,519conditionaltry nowactive
2026-08-029.29.328,482conditionaltry nowactive
2026-08-019.29.028,472conditionaltry nowactive
2026-07-319.28.0Not recordedconditionaltry nownot recorded
2026-07-309.28.0Not recordedconditionaltry nownot recorded
2026-07-299.29.628,390conditionaltry nowactive
2026-07-289.29.028,346conditionaltry nowactive
2026-07-219.29.027,969conditionaltry nowactive
2026-07-209.29.027,969conditionaltry nowactive
2026-07-199.29.027,969conditionaltry nowactive
2026-07-189.29.027,969conditionaltry nowactive
2026-07-179.29.027,969conditionaltry nowactive

Why the record changed

stars changed

Stars changed: 28482 → 28519.

stars changed

Stars changed: 28472 → 28482.

stars changed

Source-observed stars changed: 28463 → 28472. This reports the retained observation delta and does not infer why the upstream change occurred.

stars changed

Stars changed: 28346 → 28390.

stars changed

Source-observed stars changed: 28332 → 28346. This reports the retained observation delta and does not infer why the upstream change occurred.

version changed

Version changed: v2.0.4.post1 → v2.0.5.

stars changed

Stars changed: 27969 → 28332.

stars changed

Source-observed stars changed: 27968 → 27969. This reports the retained observation delta and does not infer why the upstream change occurred.

stars changed

Source-observed stars changed: 27967 → 27968. This reports the retained observation delta and does not infer why the upstream change occurred.

stars changed

Source-observed stars changed: 27966 → 27967. This reports the retained observation delta and does not infer why the upstream change occurred.

stars changed

Stars changed: 27827 → 27966.

version changed

Version changed: v2.0.4 → v2.0.4.post1.