Rank
65
LangChain/LangGraph tools for AI agent x402 payments on X1
Traction
No public download signal
Freshness
Updated 4mo ago
Crawler Summary
Reasoning memory for AI agents — drop-in for LangGraph, CrewAI, Google ADK, OpenAI Agents + 5 more. Vector stores remember what. FlowScript remembers why. 20-tool MCP server, auto-extraction, hash-chained audit trail. <p align="center"> <img src="docs/brand/logo-512.png" alt="FlowScript" width="120" /> </p> <h1 align="center">flowscript-agents</h1> <p align="center"><strong>Python SDK for FlowScript reasoning memory</strong></p> <p align="center"><em>MCP server, nine framework adapters, typed reasoning queries, hash-chained audit trail.</em></p> <p align="center"> <a href="https://pypi.org/project/flowscript-agents/"><img src="htt Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 5/31/2026.
Freshness
Last checked 5/31/2026
Best For
flowscript-agents is best for crewai, multi-agent workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Reasoning memory for AI agents — drop-in for LangGraph, CrewAI, Google ADK, OpenAI Agents + 5 more. Vector stores remember what. FlowScript remembers why. 20-tool MCP server, auto-extraction, hash-chained audit trail. <p align="center"> <img src="docs/brand/logo-512.png" alt="FlowScript" width="120" /> </p> <h1 align="center">flowscript-agents</h1> <p align="center"><strong>Python SDK for FlowScript reasoning memory</strong></p> <p align="center"><em>MCP server, nine framework adapters, typed reasoning queries, hash-chained audit trail.</em></p> <p align="center"> <a href="https://pypi.org/project/flowscript-agents/"><img src="htt
Public facts
4
Change events
0
Artifacts
0
Freshness
May 31, 2026
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 5/31/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
May 31, 2026
Vendor
Phillipclapham
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 5/31/2026.
Setup snapshot
git clone https://github.com/phillipclapham/flowscript-agents.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Phillipclapham
Protocol compatibility
OpenClaw
Adoption signal
1 GitHub stars
Handshake status
UNKNOWN
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
python
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Reasoning memory for AI agents — drop-in for LangGraph, CrewAI, Google ADK, OpenAI Agents + 5 more. Vector stores remember what. FlowScript remembers why. 20-tool MCP server, auto-extraction, hash-chained audit trail. <p align="center"> <img src="docs/brand/logo-512.png" alt="FlowScript" width="120" /> </p> <h1 align="center">flowscript-agents</h1> <p align="center"><strong>Python SDK for FlowScript reasoning memory</strong></p> <p align="center"><em>MCP server, nine framework adapters, typed reasoning queries, hash-chained audit trail.</em></p> <p align="center"> <a href="https://pypi.org/project/flowscript-agents/"><img src="htt
Evolution note: The architecture explored here — transport-layer interception, consolidation engine, anti-inbreeding defense, hash-chained audit trail, temporal graduation — directly informed anneal-memory, a two-layer memory system for AI agents that delivers these concepts as a zero-dependency MCP server. This repo is maintained as a reference implementation.
flowscript-agents is the Python SDK for FlowScript reasoning memory. It provides:
why(), tensions(), blocked(), alternatives(), whatIf(), counterfactual() — graph traversals, not text search717 tests. Published on PyPI. MIT licensed.
These are graph traversals — sub-millisecond, deterministic, no LLM calls.
| Query | Returns | Ask when |
|:------|:--------|:---------|
| query_why(node_id) | Causal chain backward from any decision | "Why did we choose this?" |
| query_tensions() | Tradeoffs with named axes | "What tradeoffs are we navigating?" |
| query_blocked() | Blockers + downstream impact | "What's stuck and what does it affect?" |
| query_alternatives(node_id) | Options considered + outcome | "What else did we consider?" |
| query_what_if(node_id) | Forward impact analysis | "What breaks if we change this?" |
| query_counterfactual(node_id) | What would need to change | "What would it take to reverse this?" |
No vector store can answer these. Embedding similarity tells you what looks like your query. These queries tell you what caused, blocked, traded off against, and follows from your agent's decisions.
Most memory systems handle contradictions by deleting. Mem0's consolidation uses ADD/UPDATE/DELETE — when facts contradict, the old one is replaced.
FlowScript doesn't delete. It relates.
When consolidation detects a contradiction, it creates a tension with a named axis. Both perspectives survive. The disagreement itself becomes queryable knowledge. This approach satisfies AGM belief revision postulates — the formal framework proving deletion is mathematically irrational for a reasoning agent.
Each adapter implements your framework's native memory interface. You don't learn a new API — you get reasoning queries on top of the one you already use.
| Framework | Adapter | Install |
|:----------|:--------|:--------|
| LangGraph | FlowScriptStore → BaseStore | pip install flowscript-agents[langgraph] |
| CrewAI | FlowScriptStorage → StorageBackend | pip install flowscript-agents[crewai] |
| Google ADK | FlowScriptMemoryService → BaseMemoryService | pip install flowscript-agents[google-adk] |
| OpenAI Agents | FlowScriptSession → Session | pip install flowscript-agents[openai-agents] |
| Pydantic AI | FlowScriptDeps → Deps + tools | pip install flowscript-agents[pydantic-ai] |
| smolagents | FlowScriptMemory → Tool protocol | pip install flowscript-agents[smolagents] |
| LlamaIndex | FlowScriptMemoryBlock → BaseMemoryBlock | pip install flowscript-agents[llamaindex] |
| Haystack | FlowScriptMemoryStore → MemoryStore | pip install flowscript-agents[haystack] |
| CAMEL-AI | FlowScriptCamelMemory → AgentMemory | pip install flowscript-agents[camel-ai] |
All adapters expose .memory for direct query access and support with blocks for automatic session lifecycle.
| flowscript-agents explored | anneal-memory delivers | |:---------------------------|:----------------------| | Consolidation engine (ADD/UPDATE/RELATE/RESOLVE) | Compression-as-cognition through session wraps | | Anti-inbreeding defense (citation validation) | Graduation gate + principle demotion | | Hash-chained audit trail | Tamper-evident compliance layer | | Transport-layer SDK wrapper | Compliance proxy vision (MCP interception) | | 9-marker FlowScript subset for compression | Same subset, zero-dependency MCP | | Temporal graduation (current → developing → proven → foundation) | Citation-validated graduation with immune system | | Continuity file compression | Two-layer memory: episodes compress into identity |
anneal-memory delivers these concepts without requiring notation learning, API key configuration, or framework-specific adapters. Zero dependencies. Install and go.
anneal-memory on GitHub | anneal-memory on PyPI
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://www.xpersona.co/api/v1/agents/crewai-phillipclapham-flowscript-agents/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-phillipclapham-flowscript-agents/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-phillipclapham-flowscript-agents/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
65
LangChain/LangGraph tools for AI agent x402 payments on X1
Traction
No public download signal
Freshness
Updated 4mo ago
Rank
65
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Traction
No public download signal
Freshness
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Rank
65
LangGraph Multi-Agent Supervisor
Traction
No public download signal
Freshness
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Rank
65
LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.
Traction
No public download signal
Freshness
Updated 4mo ago
Contract JSON
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}Invocation Guide
{
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},
"curlExamples": [
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],
"jsonRequestTemplate": {
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"constraints": {
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"protocolPreference": [
"OPENCLEW"
]
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},
"jsonResponseTemplate": {
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"result": {
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"confidence": 0.9
},
"meta": {
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}
},
"retryPolicy": {
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500,
1500,
3500
],
"retryableConditions": [
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}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
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}Capability Matrix
{
"rows": [
{
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"notes": "Listed on profile"
},
{
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"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "multi-agent",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"label": "Vendor",
"value": "Phillipclapham",
"category": "vendor",
"href": "https://github.com/phillipclapham/flowscript-agents",
"sourceUrl": "https://github.com/phillipclapham/flowscript-agents",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:41.826Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/crewai-phillipclapham-flowscript-agents/contract",
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"isPublic": true,
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{
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"value": "1 GitHub stars",
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"sourceType": "trust",
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"observedAt": null,
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}
]Change Events JSON
[]
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