Releases·Tool Release
FreshCtx 0.5.0 adds a pre-tool hook for Agno 2.9 that blocks execution when external evidence goes stale
The FreshCtx maintainer released version 0.5.0, adding an Apache-2.0 Python integration with Agno 2.9 through tool_hooks. The hook re-verifies declared dependencies immediately before tool execution and blocks the tool body if evidence changed or cannot be verified, targeting staleness between an agent's decision and its action.
3 engagement1 sourceWed, Sep 9, 2026, 03:06 AM
AI Overview
- FreshCtx 0.5.0, an Apache-2.0 Python library, integrates with Agno 2.9 via tool_hooks, supporting both sync and async tools
- The hook re-checks only application-declared dependencies immediately before the tool body runs and blocks execution if any changed or fail the blocking policy, returning STALE_REASONING
- The library targets mutable external evidence behind consequential tool calls, not replacement of Agno's run state, transactions, idempotency, or approval logic
- Install via pip install 'freshctx[agno]==0.5.0'; runnable example on GitHub at Hyperwise-LLC/freshctx v0.5.0
Related
Releases·Tool Release
FreshCtx extends stale-evidence revalidation to Agno 2.9 pre-tool hooks alongside LangGraph and OpenAI Agents SDK
The FreshCtx maintainer added a pre-tool hook integration for Agno 2.9, extending its pre-action freshness checks to LangGraph and the OpenAI Agents SDK as well. The library revalidates an agent's declared evidence (files, API responses, database records, approvals) at the action boundary to catch cases where the dependency changed between observation and execution. For practitioners building agents across frameworks, it offers a single consistency layer against the same time-of-check-to-time-of-use failure mode.
The FreshCtx maintainer added a pre-tool hook integration for Agno 2.9, extending its pre-action freshness checks to LangGraph and the OpenAI Agents SDK as well. The library revalidates an agent's declared evidence (files, API responses, database records, approvals) at the action boundary to catch cases where the dependency changed between observation and execution. For practitioners building agents across frameworks, it offers a single consistency layer against the same time-of-check-to-time-of-use failure mode.
Updated Tue, Sep 1, 2026, 09:06 PM — FreshCtx maintainer added an Agno 2.9 pre-tool hook integration, joining existing LangGraph and OpenAI Agents SDK suppor
1 engagement1 sourceredditTue, Sep 1, 2026, 09:06 PM
Products·launched
FreshCtx — pre-action validation boundary for stale-state agent workflows in LangGraph
FreshCtx is an Apache-2.0 Python library that adds a validation step immediately before protected tools or nodes execute in agent workflows. It lets developers declare which external evidence a tool depends on so resumed LangGraph runs fail or re-check when that evidence is stale. It targets agent builders whose LLM decisions were sound when made but act on changed external state by execution time.
FreshCtx is an Apache-2.0 Python library that adds a validation step immediately before protected tools or nodes execute in agent workflows. It lets developers declare which external evidence a tool depends on so resumed LangGraph runs fail or re-check when that evidence is stale. It targets agent builders whose LLM decisions were sound when made but act on changed external state by execution time.
14 engagement1 sourceredditWed, Sep 9, 2026, 03:16 AM
Releases·Tool Release
Developer: Codex auto-sync hook fixes tool staleness but lacks Claude Code's forced context injection
A developer building an open-source context layer for coding agents (Graft) reports that OpenAI's Codex solves tool data staleness with an automatic post-edit sync hook, but still lacks a way to force tool context into the model's context window, a feature Claude Code's SessionStart hook provides. The distinction highlights two separate problems in agent tooling: data freshness and model tool usage.
A developer building an open-source context layer for coding agents (Graft) reports that OpenAI's Codex solves tool data staleness with an automatic post-edit sync hook, but still lacks a way to force tool context into the model's context window, a feature Claude Code's SessionStart hook provides. The distinction highlights two separate problems in agent tooling: data freshness and model tool usage.
6 engagement1 sourceredditWed, Aug 12, 2026, 03:59 PM
Products·building
Synathic: open-source verification layer for AI-agent tool calls and DB side effects
Synathic is an open-source layer that verifies whether an AI agent's tool call actually caused the intended database side effect, not just returned success. The builder is validating design decisions (e.g., using updated_at timestamps to prove agent-caused writes) before shipping. It targets developers building agents that write to databases like PostgreSQL and need postcondition checks.
Synathic is an open-source layer that verifies whether an AI agent's tool call actually caused the intended database side effect, not just returned success. The builder is validating design decisions (e.g., using updated_at timestamps to prove agent-caused writes) before shipping. It targets developers building agents that write to databases like PostgreSQL and need postcondition checks.
23 engagement1 sourceredditWed, Sep 9, 2026, 12:02 AM
Products·launched
ARK — open-source runtime supervision layer that validates agent tool calls before execution
ARK is an open-source runtime layer that checks an agent's proposed tool actions against applicable constraints and trusted evidence before they execute. Agents propose an action, ARK returns ALLOW, REJECT, or REQUIRE_EVIDENCE, with feedback sent back to the agent. It targets developers building tool-using agents whose actions are consequential, such as refunds, bookings, or record modifications.
ARK is an open-source runtime layer that checks an agent's proposed tool actions against applicable constraints and trusted evidence before they execute. Agents propose an action, ARK returns ALLOW, REJECT, or REQUIRE_EVIDENCE, with feedback sent back to the agent. It targets developers building tool-using agents whose actions are consequential, such as refunds, bookings, or record modifications.
19 engagement1 sourceredditMon, Aug 31, 2026, 01:24 PM